Why Email Communication Is A Horrible ITSM Integration Strategy

Sync room ep 2

This article was originally posted on the Atlassian community.

Welcome to Sync Room: Episode 2

This is a follow-up post that comes from our “Sync Room by Exalate” webinar series.

In this episode, my co-host, Manoosh, and I discussed different ITSM integration scenarios, what breaks them, and how to choose a winning strategy.

Let’s dive right in.

Around 48% of companies pair Jira with a dedicated ITSM platform. We picked their brains to find out the challenges, hidden costs, and potential solutions to make real-time ITSM integration a reality.

The Broken ITSM Elephant in The Room

Imagine a SaaS company with global teams working on specialized areas. The support team is handling customer concerns in Jira Service Management, while the devs are working on the task using Jira Software. 

And this is a common issue in most companies.

Our recent survey shows that 48% of respondents preferred pairing Jira with a dedicated ITSM platform (ServiceNow, Zendesk, Freshservice, or Freshdesk). 

These numbers show that over half of the surveyed companies using Jira for ITSM still rely on email and Slack updates to keep up with service delivery. 

Without addressing this ITSM-shaped elephant, your company would be setting itself up for inefficient workflows, disconnected systems, data siloes, and dissatisfied customers.

A Tale of Two Broken ITSM Workflows

Scenario 1 

Support uses Jira Service Management (JSM) while the developers use Jira Software. They only share updates via email threads

  1. A customer files a complaint to support as a JSM ticket. 
  2. The team lead creates an email thread with a quick summary for the dev lead.
  3. The ticket is then created manually on the Jira Software side based on this information. 

ResultInfinite email chains with updates and missing context going back and forth between team members who are getting increasingly frustrated at one another.

Scenario 2

Same scenario, but instead of relying on email communication, the tasks, tickets, and work items are created manually by an admin. Updates also flow back and forth manually with admin approval. 

  1. The JSM ticket data is copied and shared with the devs to create a work item manually. 
  2. The devs now drop comments and updates for the support team to break down to the customer. 

Result: Unnecessary delays and broken communication chains at each level, which often lead to dissatisfied customers and disjointed ITSM workflows.

Why Email is Not Your Savior

From what I’ve seen in the field, email is still king in some organizations. Some companies even rely on systems like Slack and Teams for the integration of ITSM systems.

But these options are far from ideal for a coherent ITSM strategy because of the following reasons:

  • Longer resolution timelines for customer concerns
  • Ever-growing backlog of tickets on the support desk 
  • Missing attachments and context for tickets and work items
  • Overall terrible customer experience, which often leads to churn
  • Formation of information silos between support staff and developers
  • Precious work hours spent on manually replicating the issue in the dev system.

Integration As Your Salvation: A Strategy That Works

Native integrations are great for simple escalation logic: the ticket goes from P1 to P2 automatically with all the needed context.  

But once you try to add any extra layer of complexity, native integrations will no longer fit your needs. 

That’s where a tool like Exalate can help you address the elephant in the ITSM room, so you can help support engineers and developers march in lockstep. 

Alright, enough puns for today.

But trust me, we’ve implemented this particular workflow in-house at Exalate (as well as for enterprises and MSPs) to help resolve issues faster and build institutional knowledge. 

The implementations have been remarkable so far:

  • Real-time escalation based on priority and category.
  • Automatic work item creation in Jira and Azure DevOps 
  • Better visibility and context from description, attachments, metadata, and source info.
  • Bi-directional integration to convey status changes, resolution information, and comments (internal notes). 
  • Granular security controls and field-level autonomy over the data for sync.
  • Complete audit trail for compliance.

Should You Build or Buy The Integration?

We all know this: any decent engineering team can build a simple integration in a few weeks. And with AI and other tools out there, they can easily knock down the time to mere days. 

But that’s good and fine until you now have to deal with edge cases, security and authentication, multi-platform support, and ongoing maintenance. The headaches start to pile up. You can calculate the base cost yourself.

Buying the off-the-shelf option will shave off days, even weeks. Just pay for the integration solution, and you can get through the setup and configuration in a few hours. The ancillary stuff will be handled for you.

A very common sentiment: “Focus on your business and outsource integration to the specialists.” 

If you’re running Jira Software/Service Management and dealing with support escalations:

  1. Map Jira statuses to each team’s workflow.
  2. Keep each team in their specialized environment.
  3. Buy integration solutions to explore more synchronization possibilities.
  4. Establish a common knowledge base between support and development teams.
  5. Automate based on business rules (priority fields, categories, assignment groups).

Join Us for Episode 3

We’ll be back with the next episode in January, after the holidays.

If you’ve got interesting use cases or specific questions about ITSM integration, I’d gladly discuss them in the comments, or you can reach out directly to us.

The Real Cost of Support-Development Escalation Chaos

sync room ep 1

This article was originally published on the Atlassian community.

82% of teams we surveyed called manual ticket escalation between support and development “hell.” Here’s what we learned about the hidden costs, common chokepoints, and how real-time integration eliminates the copy-paste nightmare.

Welcome to Sync Room: Episode 1

This post comes from our new webinar series called Sync Room by Exalate, short, practical sessions with no fluff, all unfiltered. 

For our first episode, my co-host, Manoosh, and I tackled the topic that 82% of our customers immediately identified as their biggest pain point.

So let’s dive into it.

The Problem Everyone Has (But Nobody Talks About)

Our recent survey on integrations shows a striking result: 82% identified manual ticket escalation as their biggest integration pain point. Not data migration. Not reporting. Just the daily grind of moving P1 issues from support desks to development teams.

What Does This “Escalation Hell” Actually Cost?

Let me break down what we see in the field every day:

Direct Costs

  • 30+ minutes lost per P1 ticket just collecting logs, writing reproduction steps, and manually creating the issue in the dev system
  • Technical resources doing copy-paste work instead of solving problems
  • Multiple people logging into systems they’re not familiar with
  • Missing attachments (classic nightmare: 4 of 5 log files transfer, developers waste hours debugging the “missing” one)

Indirect Costs

  • Higher resolution times for customers
  • Increased backlog on the support desk
  • Knowledge silos (developers solving issues that support never learns about)
  • Poor customer experience leading to churn

The Two Broken Workflows We See

Scenario 1: Email Threads: Support receives a customer complaint → team lead creates email thread → summarizes for development lead → ticket gets created on their side → updates flow back via… more emails.

Scenario 2: Cross-System Access Support logs into Jira/Azure DevOps → manually creates work item → copies information → manually checks for updates → translates dev language back to customer language → repeat every hour for P1s.

Both are painful. Both waste expensive resources on manual work.

Where the Chokepoints Actually Are

For P1 escalations specifically, here’s the reality:

  1. Initial triage (10-30 minutes): This time isn’t wasted; support is collecting crucial information that developers need
  2. The handoff: Manual ticket creation, potential data loss, no real-time visibility
  3. The ping-pong: Hourly/bi-hourly SLA updates requiring constant system switching
  4. The knowledge gap: Developers work in isolation, support never builds that knowledge base

What Good Integration Actually Looks Like

I’ll be honest. I’m implementing this internally at Exalate because I want our support engineers to see how developers solve issues in real-time. That visibility builds institutional knowledge.

Here’s what we’ve configured (and what we help customers implement):

Real-Time Auto-Escalation

  • P1 created in Freshservice/ServiceNow/Zendesk
  • Based on priority + impact + category fields
  • Automatically creates an issue (work item)  in Jira/Azure DevOps
  • Complete context transfers: description, attachments, metadata, source info
  • Ticket number pings back for confirmation

Bi-Directional Sync

  • Developer comments flow to support as internal notes
  • Status changes map intelligently (in progress → pending)
  • Priority/urgency updates sync both ways
  • Resolution information auto-populates

Granular Security Controls

  • Role-restricted comments stay private
  • Field-level control over what syncs
  • Public comments sync, internal notes don’t
  • Complete audit trail for compliance

The Many-to-One (and One-to-Many) Problem

One of our most interesting implementations: a service desk supporting 20 software products from 20 different vendors. They were the hub; each vendor had their own system.

Solution? Star network topology. Zendesk dropdown field → Exalate reads it → routes to the correct vendor’s engineering system. Just automated routing and real-time updates.

We also see the reverse constantly: multiple support desks (Zendesk + Jira Service Management + ServiceNow) feeding into a single development environment.

Build vs. Buy: Why Teams Switch to Us

Look, any good engineering team can build a proof-of-concept integration in a few weeks. We see it all the time.

The real costs hit when you need:

  • Edge case handling
  • API update compatibility (we get early access as marketplace partners)
  • Security auditing and logging
  • Multi-system support
  • Ongoing maintenance

Time to value comparison:

  • Off-the-shelf solution: Install in minutes, configure in hours/days
  • DIY approach: 3-5 months to production-ready solution

One customer put it perfectly: “Integration isn’t our business. We need to focus on what we specialize in and outsource this to specialists.”

Key Takeaways for Atlassian Teams

If you’re running Jira Software/Service Management and dealing with support escalations:

  1. Don’t force support into Jira (and vice versa), let each team use their specialized tools
  2. Automate based on business rules (priority fields, categories, assignment groups)
  3. Map statuses intelligently to match each team’s workflow
  4. Control data exposure at the field and comment level
  5. Build the knowledge bridge so that support learns from development resolution patterns

Join Us for Episode 2

Next Sync Room episode is on December 4th, where we’re tackling ITSM strategy, specifically, why you need to stop pretending that email is an ITSM strategy.

If you’ve got exotic use cases or specific questions about support-development integration, happy to discuss in the comments, or feel free to reach out directly.

5 Hours Per Engineer, Per Week: How MSPs Scale to 50+ Clients Without Adding Headcount

Sync Room Episode 3

This article was originally posted on the Atlassian community.

We’ve all been there: a new client signs on, and suddenly, your engineers are spending more time integrating them into your systems rather than actually solving service tickets.

When you’re managing Jira Service Management (JSM) for 30, 40, or 50+ clients, the complexity doesn’t just grow; it compounds. 

In the latest episode of The Sync Room, Manoosh and I sat down to break down a specific number that should change how you view your operations: 5 hours per engineer, per week.

That is the actual time our partners at SPK & Associates reclaimed by shifting their integration architecture to a scalable strategy.

At the heart of this strategy is Exalate, the integration solution we’ve built specifically to handle these complex workflows. Unlike standard “plug-and-play” tools that force you into rigid data models, Exalate uses a script-based approach that allows MSPs to scale without compromising on security or flexibility. 

Why Adhoc Solutions Alone Don’t Scale

Under the pressure of a deadline, it’s tempting to “duct-tape” a solution together using AI-generated code (vibe coding, even) or custom API scripts. It works fine. 

But as I discussed in the webinar, AI is probabilistic, while synchronization must be deterministic.

The moment a client renames a custom field or updates a workflow in their Jira instance, an unmanaged script breaks. 

This creates undocumented infrastructure. When no one on your team truly “owns” the logic, maintenance becomes a massive liability. You’re left in a reactive posture, firefighting instead of delivering the value your clients actually pay for.

“The ‘quick fix’ turns out to be the most expensive decision you’ll make. It’s not just engineering hours; it’s missed SLAs, eroded trust, and team burnout.”

The Non-Negotiables for MSP Scaling

If you want to scale to 50+ clients without doubling your headcount, your integration needs to hit these three marks:

  1. Security by Design (Sovereignty): You shouldn’t need admin access to a client’s Jira to sync tickets. Both sides must control their own data mapping to stay compliant with HIPAA or GDPR.
  2. Autonomy: The sync must be resilient enough to absorb platform updates. If your team has to manually check sync health, it isn’t an autonomous integration.
  3. Flexibility: No two client environments are the same. Your tooling shouldn’t force you into a fixed data model; it needs to be customizable enough to handle unique workflows across Atlassian, ServiceNow, and Azure DevOps.

Practical Deep Dive: Multi-Tenant Routing for MSSPs

To move from theory to practice, I demonstrated a common cross-platform routing scenario. Imagine an MSSP receiving automated security alerts in a central hub that must be routed to different clients, each using their own preferred stack.

1. Security First

We started by connecting ServiceNow to Jira Cloud. Most tools require you to hand over a “Super Admin” token. We did the opposite. Each side authenticated its own instance locally. 

This ensures that even if you’re managing 50 clients, you never hold the “keys to the kingdom” for their entire Jira site, only what is shared.

2. Intelligent Data Mapping with Aida (The AI Layer)

Mapping fields manually is where most time is lost. We used Aida, our AI assistant, to handle “Statuses.”

With a simple natural language prompt, we mapped:

  • ServiceNow States: New, In-Progress, Resolved
  • Jira Statuses: To-Do, In-Progress, Done
    The AI generates the script, but because it sits on a deterministic engine, the sync won’t “hallucinate” or skip a beat if the connection flickers.

3. Multi-Platform Trigger Routing

This is where true scalability happens. We set up automated triggers based on the Assignment Group in ServiceNow:

  • Database Incident? The trigger detects assignment_group = database and automatically spins up a ticket in the client’s Jira Cloud project.
  • Network Incident? The trigger detects assignment_group = network and routes it to a completely different client’s Azure DevOps board.
    This eliminates the “triage bottleneck” where a human has to decide where a ticket goes.

4. Real-Time Observability & Troubleshooting

I showed how to handle the “2 a.m. failure.” Instead of digging through raw API logs, we used the Test Run feature. This allows you to dry-run a script against a real incident to see exactly where a mapping might fail before it ever affects live data. If a field is missing, the error message tells you exactly which line of code to fix.

From “Vendor” to “Operational Fabric”

The most successful MSPs move away from being a “vendor” to becoming an extension of their client’s team. When your systems are genuinely connected, tickets flow automatically, incidents are visible in real-time, no manual handoffs, and you become woven into their daily operations. This makes your service “sticky” and incredibly difficult for competitors to displace.

A Challenge for This Quarter

Don’t wait until you reach 50 clients to fix a broken architecture. Integration debt accumulates silently. 

I recommend taking these three steps immediately:

  • The Audit: Map out every integration you currently run. If the person who built it left tomorrow, could you still maintain it?
  • Prioritize by Risk: Don’t start with the most complex sync; start with the one that would cause the most damage to your reputation or SLAs if it failed tonight.
  • The Math: Check out our Build vs. Buy ROI Calculator to see exactly how much “integration debt” is costing your bottom line.

If you want to see how this works with your specific workflow, you can discuss it with our team or simply start a free trial to see Exalate in action within your own environment.

How is your team handling the “Jira-to-Everything” challenge? Are you still relying on custom scripts, or have you moved to a more robust architecture? Would love to hear your thoughts! 

M&A Integration: How a Two-Way Sync Tool Can Minimize Productivity Loss and Actually Make It Work

M & A Featured image

This article is written by Mariia Onyshchenko, Product Marketing Manager at Exalate. 

Acquisition Is Done, Now What?

One of the ways to unlock fast growth (and a pretty effective one at that) is to acquire another company. On paper, everything looks perfect: you’ll now be able to deliver 54% more, come very close to eliminating technical debt, and give more love and attention to your existing customers with this new injection of resources. But there is a “but.”

According to PwC’s M&A Integration Survey, only 14% of respondents reported achieving significant success with their merger and acquisition integration efforts (How to Achieve Successful M&A Integration: Phases & Challenges).

I’d bet you wouldn’t want to be among that 86% who fail.

What Are We Dealing With

The success of the merger depends on many things. And let’s leave the planning and execution of M&A to the experts. 

However, during my 9+ years at Exalate, I saw many cases where companies would come to us at various stages of their M&A with very similar challenges:

Our teams are disconnected.

They use different task management tools, or they use the same tools, but we cannot simply merge the two; we have different processes and ways of working, and (insert your 17 more valid reasons).

They need an easy way to pass on work and the necessary context to make sure that the work will be picked up and completed.

Data is scattered across systems. We don’t have a single source of truth.

Looking across the hundreds of conversations we’ve had with customers and prospects dealing with M&A, there’s a pattern that repeats itself almost every time: the acquired company’s teams resist switching platforms, historical data is too complex to migrate cleanly, and vendor relationships force multi-tool environments that were never meant to be “temporary.”

In this article, I want to talk about how a synchronization solution like Exalate can make your life after M&A easier:

  • The 3 main productivity killers in M&A integrations
  • How synchronization tools solve communication bottlenecks
  • Why full system merges can be riskier than you think
  • Handling regulatory compliance and security during integration
  • The ROI math behind sync tools
  • Best practices for implementing synchronization in your merger
  • Frequently asked questions about M&A integration

Why Can It All Fail?

I don’t have to be an expert to state the obvious: two companies are never exactly the same. 

They have their own processes and tools, and when these two worlds collide, the loss of productivity is unavoidable. But it doesn’t mean that you cannot minimize it.

Now, next to the planned work both teams have, they have to add more to their workload, because they have to allocate time to understand each other and how they can work together.

That’s why it’s essential to ensure that communication paths are easy and natural.

Communication Challenges

Think of it this way. Imagine you’re a support engineer. The customer you’re assisting has an issue with a database. You’ve seen a similar problem many times, and every time you had to come up with a workaround. 

But last week, your managers announced that in the “new part of the company,” there are engineers who have the experience and the knowledge to permanently fix the issue!

Now, you can go about it two different ways.

Scenario 1

You reach out to your manager and ask who these people are, and who is available right now to pick up your issue.

You wait for a response from your manager (it can take from 2 hours to two days). Customer asks for an update, you answer.

After you have the contact information of the DB engineer, you reach out to Mike (his name is Mike) over email, or, let’s be more in the loop with time, over Slack, providing him all the context you have from the ticket.

Mike asks a couple of clarification questions. You go back to the ticket and ask your customer. Mike gets to work. You update the customer via ticket. Mike delivers a fix in 1 hour. (Even I am impressed, well done Mike!)

You come back to the ticket and provide the steps that you got from Mike to the customer.

Customer tries, but something isn’t quite right. A bit more back and forth in the Mike<>you<>customer circle, and the ticket is closed after 5 days. 

Customer thanks you, but does mention that they expected a faster turnaround.

There must be a better way

Source: https://blogs.brighton.ac.uk/careers/2019/03/05/employers-recruiters-vice-deputy-managing-graduate-hr-coordinators-what-are-they-on-about/

Introducing scenario 2, where we add a synchronization solution to the mix

You escalate (or should I say “exalate” 😏) your ticket to the DB engineers’ Jira instance. An available engineer picks it up. (Hello again, Mike!) 

He asks a couple of clarifying questions, which are synced back to your ticket. (In the meantime, please have a coffee break. I am sure you’re exhausted after I made you work so hard in the previous scenario.) 

The customer sees the questions from Mike and replies right away. Mike estimates that it’ll take him about 2 hours to fix the issue, so he lets the customer know.

Mike finishes the fix in just 1 hour (we’re all still very impressed, Mike!) and explains how to fix the issue to the customer. The customer is absolutely delighted!

  • The issue he reported was worked on within just a couple of hours.
  • They were informed all the way through the process.
  • And even got the fix earlier than expected.

He’s so happy with this turnaround that he leaves a very positive review on G2 and even agrees to a joint case study. And maybe expansion, but we’ll see.

I mean, scenarios may vary, but I hope you get the gist.

This communication challenge may cost you and Mike 2 extra hours at the very least. Not to mention the customer, who could have gotten his fix 4 days earlier.

When Manual Workflows Hit the Breaking Point

The Mike scenario above is hypothetical, but the pain is very real. Across our conversations, manual data entry after M&A shows up as one of the most consistent productivity killers, and the numbers are worse than most people expect.

One managed security services provider quantified it: 14 hours per week wasted on manual ticket copying between their system and their clients’ systems. That’s nearly two full working days, every single week, doing nothing but copy-paste.

A subsidiary of a major industrial equipment manufacturer described their vendor escalation process as “very, very manual, where they create a ticket in our system, and then it’s manually copied and pasted into each other’s systems.” And when agents went home for the day? Information transfer simply stopped. Dead time. Incidents sat unresolved until the next shift started.

Scale makes it even worse. One user told us directly, “Come September, we’ll have a much larger customer going live on the software, and that will generate a significant support workload. We just wouldn’t be able to create tickets manually.” Another company, after 4 acquisitions in 2 years, found that each new acquisition brought a new ticketing system, and the manual bridging simply couldn’t keep up.

And then there’s the duplicate entry problem. One integration partner described maintaining “double systems manually, entering the same tickets in both Jira instances.” Errors creep in, data gets out of sync, and overnight, nobody’s checking email to catch incoming updates.

The DIY route? Just as painful. One systems integrator tried building custom webhook and API integrations and reported: “It took me so much time, but I moved nowhere.” Another company spent 5 years building bespoke middleware integrations, only to accumulate technical debt they now desperately want to shed.

Data Consolidation 

Another villain in the story is the fact that you now have two sets of data. 

And you need to get all the necessary data into one dashboard.

Source: https://seattledataguy.substack.com/p/ten-of-the-funniest-data-memes

I’ve seen companies take different approaches to solving this issue. There are many ways and tools to make this work. I have dealt with many companies that came to us to address data consolidation problems.

And if you have already invested in the synchronization tool to make sure that the entire team is aligned and has all the necessary context, why not use the same tool to also solve data accessibility and visibility issues?

Here’s how you can do it.

Some prefer to synchronize everything happening in the remote instance, essentially cloning all the team’s work from their system into yours. This way, you can create enhanced, more comprehensive reports based on all the synchronized data.

Another approach I’ve seen is more selective: only certain outcomes get synchronized. For example, there might be a custom field called “outcome” that, once filled in, automatically syncs to the management Jira instance. 

This keeps the synchronization focused on just the essential information that leadership needs to see.

Why a Full System Merge Can Be Riskier Than You Think

Here’s something I hear from customers all the time: “We just acquired a company, and we’d like to sync their projects into our Jira instance because we are not yet ready to merge into one Jira instance.”

And honestly? That “not yet ready” instinct is usually right.

A full system merger collapsing two Jira instances (or a Jira and a Zendesk, or whatever combination you’re dealing with) into one sounds clean and efficient on paper. In reality, it introduces a whole set of risks that can blow up your timeline and your team’s morale.

Here’s what we’ve seen go wrong, not in theory, but from real experiences with companies dealing with this right now.

Teams won’t give up their tools. Period.

This is the single most consistent pattern we see in acquisition after acquisition. One UK-based marketing agency needed to merge 3 separate Jira instances after acquiring multiple agencies, and each agency refused to budge. 

A global sportswear brand, after being acquired, kept its own tooling while the parent company mandated ServiceNow. 

At a global IT services company, different business units simply refused to standardize, regardless of what leadership wanted. 

The logic is pragmatic: forcing a migration disrupts workflows, retrains entire teams, and risks losing the historical context embedded in the existing tool.

Historical Data is Where Migrations Go to Die

Companies consistently discover, often too late, that full migration loses critical context. One company needed 500–600 tickets migrated with exact ticket ID preservation. Migration tools couldn’t do it. 

Another company with 250,000 work items found that change history and resolution dates simply wouldn’t carry over due to platform limitations. 

A marketing firm was surprised to learn that workflows don’t transfer at all; only raw data comes across flat and stripped of the relationships that made it meaningful. Epics, stories, parent-child hierarchies? Gone.

Timeline Pressure Makes Migration a Non-starter

Several companies we’ve spoken with face tight deadlines where a full migration simply can’t be scoped in time. One company’s ServiceNow licenses expired in three months, making a phased sync-then-migrate approach the only viable path. 

Another had 3 weeks before contract expiry with 70,000 tickets, not enough time for a proper migration, even if they wanted one.

Multi-tool Environments Are Permanent, Not Transitional

Here’s the pattern that surprises people the most: after an acquisition, companies almost never end up on a single tool. Vendor relationships, team preferences, regional compliance requirements, and cost all push toward a sustained multi-tool environment. 

One company acquired by a large multinational needed to sync with the parent’s systems while keeping their own, not as a transition, but as the permanent operating model. 

A fulfillment company that acquired 4 companies in 2 years needed customer support consolidated in Salesforce, while some teams stayed in Jira or Freshdesk.

Sync isn’t a crutch. It’s the architecture that matches the operational reality.

Slow-walk Live Migration

If you want to take data consolidation further, consider live migration. The concept is very simple: teams use their own environments, and synchronization runs in the background. And then when the time is right, you just abandon one of the tools.

What Happens to Your Existing Data During System Integration?

This is one of the first questions we get from companies evaluating synchronization as part of their M&A plan. And the answer is: nothing bad happens if you plan it right.

With a sync-based approach, your existing data stays exactly where it is. Nothing gets moved, overwritten, or deleted. The sync tool creates mirrored copies of the data you choose to share, keeping the originals untouched in their source system.

This means you can start syncing new tickets and items immediately while deciding what to do with historical data at your own pace. Some companies choose to backfill historical data. Others decide that only new items from the acquisition date onward need to be synced.

The beauty of this approach is that it’s reversible. If something doesn’t look right, you pause the sync, adjust your rules, and try again. Compare that to a full migration, where a mistake can mean weeks of cleanup.

Can You Integrate Systems Without Disrupting Daily Operations?

Short answer: yes, that’s the whole point.

With a two-way sync, both teams continue working in their own environments as if nothing changed. The sync runs in the background, and the only difference is that now relevant data appears in both systems automatically.

Our customers love this approach because it’s the most flexible and foolproof. Not to mention, the least stressful for IT and management teams. No migration weekends, no system freezes, no retraining. Teams wake up on Monday, and their tickets are synced. That’s it.

Handling Regulatory Compliance and Security

Let’s quickly consider another very probable plot. 

A US-based enterprise called “American Gulls” acquired an EU-based start-up “European Frogs”. GDPR suddenly becomes very real. 

You can dive headfirst into a bottomless pit of regulations, or you can use a workaround – a sync tool that makes sure that only necessary data is shared via secure channels and with proper data residency. 

Why Compliance Is the Silent Deal-Breaker in M&A

Here’s what keeps compliance officers up at night after an acquisition: suddenly, you have two different data environments, potentially in two different jurisdictions, with two different sets of rules about what data can go where. And the clock is ticking.

This isn’t theoretical. In our conversations with companies, compliance and security concerns show up in over a third of all M&A-related calls. And the concerns are very concrete.

Data residency drives multi-instance architectures. One enterprise client migrating to Jira Service Management needed multi-site sync specifically because of data residency requirements. A technology company runs 4 separate Zendesk instances: APAC, China, Europe, and the Americas, specifically for data protection compliance. 

These aren’t companies that chose to be complex. Regulations made them complex. They don’t want one centralized system; they need regional separation with controlled sync.

Government and defense regulations create hard stops. One division of a large industrial conglomerate faces stringent regulations; even screen-sharing during a demo could expose restricted data.

They require Master Service Agreements and technical review board approval before any integration tool touches their systems. Another company working on federal election systems emphasized that “security and compliance are absolutely critical”; no flexibility.

Security reviews add weeks to timelines. One major sports organization halted the deal when they discovered that the integration tool required full Jira admin access; their Head of Security needed to review Trust Center documentation before even scheduling a demo. 

How Exalate Addresses Compliance in Cross-Border M&A

A synchronization (or integration) solution like Exalate addresses these concerns head-on:

Selective data sharing. You control exactly which fields sync and which don’t. Personal customer data that should stay in the EU instance? It stays there. Only the ticket summary and status sync to the US team, which is all they need to manage the work anyway. For instance, healthcare organizations can filter protected health information at the sync level, ensuring that sensitive patient data never leaves the provincial system.

Data residency options. Exalate’s architecture means each side of the connection operates independently. The EU data stays on the EU infrastructure. The US data stays on US infrastructure. The sync only passes the data you’ve explicitly scripted to flow between them.

Encryption and security. Data in transit is encrypted using TLS 1.2+, and Exalate is ISO 27001 certified. No passwords are stored; only OAuth tokens and API credentials specific to each platform.

One financial services client told us they avoided €1.3M in potential GDPR violations simply because their sync tool kept EU customer data in EU systems while still giving US teams the visibility they needed.

Real-life Case

My favourite case is DPG Media. When they rapidly grew from 2,000 to 8,000 employees through acquisitions, they faced a classic M&A challenge: their newly acquired company, Medialaan, used Zendesk while DPG used Jira. 

One IT employee spent hours daily manually copying customer tickets between systems – a massive productivity drain that left issues loose and untracked. After trying automation tools, they realized that they needed something more robust.  

After evaluating a few other options, they implemented Exalate. 

The results were immediate: the IT employee who had been doing manual data entry was freed up to become a Product Owner, now managing livestream products that bring breaking news to millions. 

In this case, the synchronization tool didn’t just connect systems; it freed human potential, turning mind-numbing manual work into resources ready to address what the organization needed the most at that moment.

ROI Math: The Cost-Benefit Analysis of Sync Tools in M&A

The ROI math is surprisingly simple: DPG Media saved one full-time employee’s salary (€60,000+) by eliminating manual data entry. Add the 45x faster ticket resolution (that’s 4 days saved per ticket × 100 tickets/month = major customer satisfaction gains), plus the avoided cost of maintaining duplicate systems for 18-24 months while you “figure out integration.” 

One mid-size tech merger calculated its two-way sync investment paid for itself in just 6 weeks through productivity gains alone.

How Do You Measure Integration Success Beyond Productivity Metrics?

Productivity is the obvious metric, but smart M&A teams track more than that:

Employee satisfaction. Are the acquired team’s employees still happy? Are they still here? If you’ve forced a tool migration on them, survey results tend to drop. If they’re still working in their preferred tools, that friction disappears.

Customer experience scores. Track CSAT and NPS before and after the integration. If customers notice the merger (in a bad way), your integration isn’t working.

Data accuracy. How many duplicate tickets exist? How many tickets fell through the cracks? A sync tool should drive these numbers toward zero. One integration partner described maintaining “double systems manually” before Exalate; that’s exactly the kind of error-prone duplication you’re eliminating.

Time to resolution across teams. Not just within one team, but across the newly merged organization. If the acquiring team can now tap the acquired team’s expertise (like Mike’s database skills), resolution times should improve.

Speed to first cross-team collaboration. How quickly after the acquisition did the two teams start working together on actual tickets? With a sync tool, this can happen within days. Without one, it often takes months.

Best Practices for Implementing Synchronization in Your M&A

Over ten years and hundreds of M&A-related implementations, we’ve seen what works and what doesn’t. 

Here’s what separates the smooth integrations from the painful ones.

1. Start Before Day One

Don’t wait until the deal closes to think about integration. The best outcomes happen when teams evaluate their tooling landscape during due diligence. Identify which systems overlap, which are unique, and where the communication gaps will be.

2. Prioritize Which Systems to Integrate First

Not everything needs to sync on day one. Start with the highest-impact, lowest-risk connections. In most cases, that means:

First, connect the customer-facing systems (support tickets flowing between teams). This is where your customers will first feel the impact of the merger, so get this right immediately.

Second, connect project management and engineering tools. This enables cross-team collaboration on product work.

Third, handle reporting and dashboards. Once the data is flowing, consolidate it into unified views for leadership.

3. Respect Each Team’s Way of Working

The biggest mistake I see in M&A integrations? Forcing the acquired team to adopt the acquiring company’s processes overnight. It never works. We see it constantly: different business units simply refuse to standardize, regardless of executive mandates. And they’re right to push back. Let them keep their tools, their workflows, their field names. Use the sync tool to translate between the two worlds.

4. Handle Different Data Formats Gracefully

The acquired company uses “P1/P2/P3” for priority. You use “Critical/High/Medium/Low.” Their “Bug” is your “Defect.” Status and field mapping chaos is one of the most common pain points we hear about. One manufacturing company described constant confusion because “Resolved” on one side didn’t mean the same thing as “Done” on the other.

This is exactly what sync scripting is built for. Map values between systems so each team sees data in their own language. With Exalate, you can use Groovy-based scripts or the AI-powered Aida assistant to set up these mappings. Aida lets you describe what you want in plain English, and it generates the working configuration.

5. Use Triggers to Automate the Flow

Don’t make people remember to “sync this ticket.” Set up triggers based on conditions: any Zendesk ticket with the tag “escalation” automatically creates a Jira issue in the engineering instance. 

Any Jira issue moved to “Done” automatically updates the corresponding Zendesk ticket status to “Solved.” 

Automation removes the human bottleneck and eliminates the “dead time” that happens when agents go home, and manual processes stop.

6. Start Small, Scale Fast

Begin with a pilot. Pick one team, one connection, maybe 50–100 tickets. Validate that the sync works correctly. 

Then expand. The growth pattern we see from our customers is almost always the same: start with 1–2 connections, grow to 3–5 in the first half-year, and often reach double digits by year-end. 

Exalate’s architecture makes it easy to add new connections and platforms without rebuilding anything.

7. Don’t Underestimate the “Temporary to Permanent” Pattern

Here’s something to plan for: the sync you set up “temporarily” during the M&A will very likely become permanent. We see this pattern consistently. Once workflows are built around the tool and teams are working smoothly, there’s no business case to rip it out. 

The cost of removing the sync and reintroducing manual processes or forcing a migration is almost always higher than just keeping the sync running.

Plan for this from the start. Set up your sync as if it’s permanent with proper naming conventions, documented rules, and clean scripting so you won’t have to redo it later.

8. When Should You Consider Custom Integration vs. Off-the-Shelf Solutions?

Go custom only when you have truly unique requirements that no existing tool can handle, and even then, think twice. 

We’ve spoken with companies that spent years building bespoke middleware integrations, accumulating technical debt they desperately want to shed. 

One tried building a webhook and API integrations and reported: “It took me so much time, but I moved nowhere.”

Off-the-shelf solutions like Exalate cover the vast majority of M&A sync use cases out of the box. And because Exalate offers deep scripting capabilities on top of its standard configuration, you get the flexibility of custom code with the stability and support of a managed product.

9. Ensure Scalability Post-Merger

Your sync solution should grow with you. After the first acquisition, there might be a second. And a third. 

One fulfillment company acquired 4 companies in 2 years, each bringing its own ticketing system. Exalate’s network architecture supports hub-and-spoke, peer-to-peer, and even complex multi-platform topologies. 

Adding a new company’s tools to your sync network is as straightforward as setting up a new connection.

With Exalate’s unified console, you can manage all your connections from a single dashboard and visually map how your instances are interconnected. This becomes invaluable as your integration network grows from 2 connections to 50.

Let’s Sum Up

Of course, we just scratched the surface. To be able to say “our merger was a huge success,” one synchronization tool (even one as powerful and flexible as Exalate) is not enough. And it won’t be a silver bullet. You still need strong leadership, clear communication, and cultural alignment.

But it can eliminate the technical friction that often derails even the best-planned post-merger integrations.

In the early stages of your M&A, it can become a real lifesaver to ensure:

Teams keep using familiar tools while having access to all necessary context, and can escalate issues in a simple way. This isn’t just a nice-to-have across hundreds of conversations; tool preference is the single most consistent reason teams resist full migration.

A full system merge isn’t your only option. Keeping separate instances connected via sync is often safer, faster, and cheaper than forcing everyone into one environment. And it preserves what migration destroys: ticket IDs, change history, parent-child relationships, and workflows.

Management has good visibility into the data they need to move the needle and make strategic choices, without requiring every team to be on the same platform.

Data is shared securely and compliantly with scary abbreviations like GDPR. You control exactly what flows where and maintain proper data residency, something that matters especially when data residency requirements are the reason your architecture is multi-instance in the first place.

It scales as you grow. Today’s two-company sync becomes tomorrow’s multi-company network. We’ve seen customers grow from 1 connection to 50+. Each new connection eliminates more manual work and connects more teams.

As a result, it reduces the number of errors and duplicates, making the integration faster and smoother.

M&A Integration FAQs

What’s the difference between one-way and two-way sync in M&A contexts?

One-way sync sends data from one system to another without sending updates back. It’s useful for reporting: clone the acquired team’s data into your dashboards without affecting their workflow. Two-way sync keeps both systems in real-time alignment such that changes on either side are reflected on the other. 

For M&A, two-way sync is almost always what you want for operational workflows, because both teams need to see updates and collaborate actively. One-way sync works well for data consolidation and management reporting.

What’s the ROI timeline for M&A integration tools?

Most companies using Exalate see payback within 4–8 weeks. The savings come from eliminating manual data entry (typically one or more FTEs worth of effort), faster ticket resolution (we’ve seen up to 45x improvements), and avoiding migration costs. 

Based on implementation benchmarks from our partner network, typical setups take 20–60 hours: that’s days to weeks, not the months required for a full migration.

How do we measure integration success beyond productivity metrics?

Track employee satisfaction (especially on the acquired side), customer experience scores, data accuracy (duplicate tickets, dropped issues), cross-team resolution times, and time to first cross-team collaboration. The best indicator of a successful integration is when customers don’t notice the merger happened or notice it in a positive way through faster, better service.

When should we consider custom integration vs. off-the-shelf solutions?

Go custom only when your requirements are truly unique and no existing tool can handle them. We’ve spoken with companies that spent years building bespoke integrations only to accumulate technical debt. Platforms like Exalate cover the vast majority of M&A sync use cases with out-of-the-box connectors and deep scripting capabilities. You get the flexibility of custom code with the stability and support of a maintained product.

How do we ensure integration tools are scalable as the company grows post-merger?

Choose a tool with a network-ready architecture. Exalate supports hub-and-spoke, peer-to-peer, and multi-platform topologies, so adding a new company’s tools after a second or third acquisition is as straightforward as setting up a new connection. The typical growth pattern we see: 1–2 connections at launch, 3–5 by month six, and 5–50+ by year-end. One enterprise customer scaled to over 400 connections.


Want to see how Exalate can fit into your M&A integration plan? Book a demo with our team, and we’ll walk you through how other companies in your situation have set up their sync.

About the Author

Mariia Onyshchenko is a Product Marketing Manager at Exalate, where she has spent 10+ years (yes, she’s almost as old as Exalate, not literally 😉) helping companies navigate cross-tool collaboration challenges from M&A integrations to cross-company partnerships. 

She has also led Exalate’s partner program and worked closely with hundreds of customers and partners across industries to solve complex synchronization use cases. 

You can find more of her writing on the Exalate blog.

Introducing the New Exalate Experience: Unified Console, Enhanced Features & All You Need to Know

New Exalate Experience

Key Takeaways

  • Exalate has evolved into a new experience that now has a unified console, AI improvements, and features that will change the way your integrations are managed. 
  • New features include a single console to manage all your connections, Test Run functionality, script versioning, side-by-side connection configuration, and Aida (AI-assisted integration)
  • Outcome-based pricing model now charges for active sync pairs instead of user counts. Now, you pay per integration, not for each platform. This subscription model is flexible enough to help you start with a plan that works best for your active items in sync. 
  • Core scripting engine and operational control remain intact. You still decide what syncs and how
  • Groovy-based scripts stay separated by direction (incoming/outgoing) for robust security and control

Your integrations are critical infrastructure. They keep teams aligned, data flowing, and work moving across systems. When something changes at that layer, clarity matters. 

This update explains what’s new, what stays the same, and how the Exalate experience is evolving.

A Note on Naming
The existing platform is now referred to as Exalate Classic. Exalate Classic remains fully supported and continues to operate exactly as it does today. The improved experience is referred to as New Exalate. It builds on the same integration engine, with a unified console and improved visibility for managing integrations at scale.

Why Is Exalate Evolving

When Exalate started, integrations were simpler. A few point-to-point connections between tools. Maybe a handful of sync scenarios.

Integration environments today are larger, more interconnected, and harder to operate. 

They have grown into a complex, interconnected ecosystem spanning multiple tools, teams, and companies. Managing dozens (sometimes hundreds) of connections across platforms like Jira, ServiceNow, Azure DevOps, Zendesk, Salesforce, Freshservice, Freshdesk, Asana, and GitHub has become its own challenge, which is separate from the integration logic itself.

The New Exalate experience addresses this reality. It adds visibility and operational control when integration environments scale, without changing what makes Exalate work: highly customizable, real-time bidirectional sync with full scripting control.

What Stays the Same

Let’s start with the important part: what’s not changing:

Your Integrations Keep Running

Every connection you’ve built continues to work exactly as it does today. 

Your Scripts Stay Intact

The Groovy-based scripting engine that handles your custom workflows remains there. Every script you’ve written, every custom logic you’ve implemented, all work the same way. Scripts are still divided into incoming and outgoing for each system, so your sync logic remains robust and precise.

Full Operational Control Over Your Sync

You maintain complete control over what data syncs and how. Each side of the integration manages its own rules independently. 

Security Standards Remain Strong

Your data stays protected with ISO 27001 certification, encryption in transit and at rest, and role-based access control. Learn more at our Trust Center.

What’s New in the Exalate Experience

The New Exalate experience brings operational improvements that make managing integrations easier, especially as environments grow.

Unified Connection Management Console

Instead of visiting each system individually to check configurations or troubleshoot sync errors, you can now access all your nodes and connections from one place. Think of it as a unified view of your entire integration environment, without changing how any of it actually works.

Start a free Exalate trial

Side-by-Side Connection View

View script rules, active queues, and errors for both sides of your connection simultaneously from the Connection Details page. Diagnose sync issues without switching between systems.

Test Run Functionality

Test your sync scripts before they touch production data. Create draft configurations, preview what would happen, and only publish when you’re confident everything works as expected. This reduces the risk of errors affecting live items in sync.

Script Versioning & Roll Back

Every time you make a change and publish it, a new version is created. 

You can:

  • Trace what changed
  • See who made the change
  • Identify when it changed
  • Roll back if something doesn’t work as expected

No more “what did we change last week?” detective work.

Aida: AI-Assisted Configuration & Troubleshooting

Aida initially started off as an expert for all things Exalate in the documentation. Then she started evolving and gained more knowledge about the product, including scripting. 

Finally, she found her place inside the product and replaced AI Assist in Exalate Classic. So, now you can interact with Aida inside the product in the same way you did with AI Assist.   

Aida not only helps you write scripts for your sync logic but also troubleshoots when something goes wrong. 

She provides context-aware suggestions, explains errors in digestible language, and cuts troubleshooting time significantly.

Improved Sync Queue Visibility

Monitor synchronization progress more clearly. Filter by connection name or entity ID, view processing status, and identify work item sync issues faster, especially helpful during bulk operations.

Integration Network Visualization

See all your connections and integrations in one place with a visual representation of how nodes are interconnected in your network. Quickly understand integration architecture and identify dependencies.

New Simpler, Transparent Pricing

We’re making a big change to how we charge for Exalate: you now pay based on how many items you’re actively syncing between your systems. And you can choose a different plan for every new integration you create. 

Here’s what that looks like in practice. If you’re syncing 50 work items between Jira and ServiceNow, you pay for only those 50. It doesn’t matter how many times they update, how many users work with them, or how many back-and-forth syncs happen; pay for just the number of items you’re keeping in sync.

This means you can calculate exactly what you’ll pay before you commit. No hidden pricing, no surprise quotes, no guessing. Just straightforward numbers based on your actual use.

You can see what this looks like for your team using our pricing calculator. Pick your integrations, estimate your synced items, and get an instant quote. Or check out the full details on the new pricing model.

Important: What’s Not Available Yet (But Coming Soon)

We believe in being upfront about what’s still in development. 

At launch, the New Exalate experience does not include:

Trust Levels for Collaborative Access Control

In Exalate Classic, admins only had access to their own side of the connection. In the new experience, the side-by-side view currently shows both sides to all users. 

This is what we call “High Trust” mode, useful for integrations where all parties work closely together.

Granular Trust Levels that restore separated access are coming soon. The underlying sync logic remains separated (incoming and outgoing scripts for each system), so your integration rules stay robust and precise. What’s changing temporarily is who can see what in the console—not how the sync actually works.

Connector Availability

The following connectors are supported at launch:

  • Jira Cloud
  • ServiceNow
  • Azure DevOps Cloud (or Service)
  • Azure DevOps Server (on-premises)
  • Zendesk
  • Salesforce
  • Freshservice
  • Freshdesk
  • Asana 
  • Early access connectors like Xurrent, Halo ITSM, and more
  • Custom connectors can be requested. 

Check the full list of supported integrations here

Note: GitHub and Jira on-premise are available only in Pro and Enterprise plans. Book a call with our team to learn more.

For complete details about the product roadmap, please visit the product portal

Security Considerations in New Exalate 

Security remains a top priority. 

The new Exalate experience maintains:

  • ISO 27001 certification: Rigorous security standards
  • Encryption: Data is protected both in transit and at rest
  • Role-based access control: Granular permissions (coming with Trust Levels)
  • Script separation: Incoming and outgoing scripts remain separated for each side
  • Audit trail: Script versioning provides a complete change history
  • SentinelOne protection: Advanced threat detection and response

For complete security details, visit our Trust Center.

How to Get Started

If You’re an Existing User

You can explore the New Exalate experience whenever you’re ready. Your Classic integrations keep running. When you want to try the new console, you can import existing connections and switch to the new experience without the need for migration or rebuilding from scratch.

If You’re New to Exalate

You can directly start with the new experience. The New Exalate console offers clearer visibility into your integrations and connections, with safe testing and better change management. 

Start a free Exalate trial

If You’re Evaluating Exalate

The New Exalate experience gives you a clearer view of what you’re building, with safer testing and better change management. The underlying power of real-time bidirectional sync with full scripting control remains the same.

Template-based sync tools (Unito, GetInt) focus on predefined mappings and limited customization. iPaaS solutions (Workato, MuleSoft) prioritize orchestration across systems but add complexity and operational overhead with higher costs at scale. 

Exalate is designed for teams that need operational control and high flexibility for advanced cross-team or cross-company scenarios, while keeping the costs predictable. 

How To Set Up Your Integration With New Exalate

For this walkthrough, we’ll demonstrate a Jira and ServiceNow integration, one of the most common cross-platform sync scenarios.

Step 1: Create Your Exalate Account

Go to the exalate.app and create your account. Log in if you already have one.

Start by creating your own Workspace. 

Workspaces help you organize and manage all your integrations and connections in a single place. Click “+ Create Workspace”, enter a name and description, then click “Create workspace”.

Step 2: Add Your First Connection

Navigate to the “Connections” tab and click “+ Add connections” > “Create new connection”.

Enter details for both systems:

  • System A: Enter your Jira instance URL and authenticate (Basic auth with username and password)
  • System B: Enter your ServiceNow instance URL and authenticate

Give your connection a name and description, review the details, then click “Create connection”.

Exalate interface for setting up connections completed flow

Step 3: Configure Your Sync Rules

After creating the connection, select “Continue to configuration” and choose the Jira project you want to sync. 

Click “Build & continue”.

You now have two options:

Quick Sync (Recommended for First-Time Setup)
Sync one work item between Jira and ServiceNow to verify your connection works. Enter a work item key in Jira or an incident number in ServiceNow, then click “Sync Now”. Preview how the synced items look before proceeding.

Edit & Test (For Custom Configuration)
Click “Open latest draft” to start editing sync rules without affecting your live configuration. Changes save automatically.

quick sync and edit test screen for exalate

Step 4: Write or Generate Your Sync Scripts

Sync rules use Groovy-based scripts, divided into incoming and outgoing for each system.

Option 1: Write Sync Scripts Manually

If you’re comfortable with scripting, click “Edit” to open the script editor. Define what data leaves your system (outgoing) and how incoming data should be applied (incoming).

Option 2: Use Aida (AI-Assisted Configuration)
Describe what you want in plain language:

  • Outgoing: “Exclude attachments” or “Only sync high-priority work items”
  • Incoming: “Map statuses” or “Set a default assignee if user not found”

Aida generates working Groovy scripts based on your requirements. Review the changes (green = added, red = removed), then choose “Insert” or “Discard”.

Script version interface showing incoming and outgoing scripts in Exalate

Step 5: Test Before Going Live

Click “Start Test Run” to validate your configuration without affecting production data.

Select work items to test, then preview:

  • How sync rules will be applied
  • Field mappings for each item
  • Incoming and outgoing replicas

Adjust scripts if needed, test again, then click “Publish Version” when everything looks correct.

Step 6: Set Up Triggers

Triggers define which items sync automatically. Click “+ Add trigger” and specify conditions:

  • Jira: Use JQL (e.g., label = “dev”)
  • ServiceNow: Use advanced search syntax (e.g., assignment group filters)

Save and publish your triggers.

Activated draft mode to enable the editing of scripts in Exalate

Step 7: Monitor and Troubleshoot

Your synchronization starts automatically based on your rules and triggers.

If errors occur, go to the “Troubleshooting” tab. Hover over any error and click the Aida icon for context-aware suggestions and proposed solutions. You can view full analysis, error details, or replicas in JSON format.

How To Switch from Exalate Classic to New Exalate

You can switch from Exalate Classic to the New Exalate experience by importing your existing connections. 

Use the Import Existing Connections feature to bring your current integrations into New Exalate. Your sync rules transfer automatically, no rebuild required.

import existing connection

What Comes Next

This is the first step. More improvements are on the way:

Trust Levels and collaborative integrations: Granular access control for team-based integration management.

Enhanced AI capabilities: Aida will evolve to help with planning and building integrations, not just scripting.

Additional connector support: More platforms joining the new experience, including GitHub, Jira on-premise, and more. 

We’re building in public, and we want your input. If you have feedback or questions, reach out at product@exalate.com.

Frequently Asked Questions

Will my existing Exalate Classic integrations stop working?

No. All existing integrations continue running unchanged. There’s no deadline for switching to New Exalate. You can do that whenever you’re ready.

Do I need to rewrite my scripts from Exalate Classic?

No. All your existing Exalate Classic Groovy scripts work as they are in the new experience. You can also choose to import connections with their configurations intact.

What happens to my Exalate Classic license?

Your Exalate Classic pricing remains unchanged until you choose to transition to the new subscription model.

Can I use both experiences simultaneously?

Yes. You can run Exalate Classic integrations while exploring the new experience. When you’re ready, import connections to the new console.

What’s the difference between Exalate Classic and New Exalate?

Exalate Classic was based on a Groovy-scripting engine that required installation on both sides, so you had to pay for all integrating systems. 

The New Exalate experience changes this model, so you no longer need to pay for both sides or install Exalate on all your systems. 

New Exalate works as a standalone web interface that can be accessed through exalate.app. This new experience adds unified management for your connections, Test Run functionality, script versioning, and Aida AI assistance, while keeping the same scripting engine and independent operational control you rely on.

How does outcome-based pricing work?

You pay for active work items currently in sync between systems, not for user seats or transaction volumes. If you sync 100 work items between Jira and Azure DevOps, you pay for those 100 active sync pairs.

Is New Exalate suitable for intra- and cross-company integrations?

Yes, New Exalate can work for both intra-company and cross-company basic to advance integrations, though granular Trust Levels are still in development. The current “High Trust” mode works well for all your integrations. Full collaborative integration features are coming soon.

Which platforms are supported in the New Exalate experience?

The New Exalate supports Jira, ServiceNow, Asana, Azure DevOps Cloud and Server, Zendesk, Salesforce, Freshservice, and Freshdesk. In addition to this, it has some connectors in early access like Ivanti, Xurrent, Halo ITSM, & more. You can request custom connectors, best for enterprises looking to integrate their legacy systems or exotic toolsets. 

How do I switch to New Exalate from Exalate Classic?

Use the Import Existing Connections feature in the New Exalate console. Select your existing nodes and connections, and your sync rules will transfer automatically. No rebuild required.

Exalate Classic to New Exalate migrate

The Bottom Line

New Exalate is an evolution, not a replacement. Your current integrations keep working. Your scripts stay intact. Your operational control remains unchanged.

What’s new is clarity, one place to understand every connection, safer testing before deployment, and AI assistance to help you work faster.

Switch when you’re ready. Classic keeps running.

Start a free Exalate trial

Built by engineers. Refined by reality. Yours to run.

Need help deciding if Exalate is right for your integration needs? Contact our team or start a free trial to test New Exalate.

How Qoria  Eliminates 15-20 Minutes of Manual Work Per Escalation with Automated Jira Zendesk Integration

Qoria Case Study Featured image

When Ellesh became the Head of Support and Enablement Global, he noticed that support operations across different regions were siloed. Each region was handling tasks differently, which was causing inefficiencies. 

He had been in the Head of Service Operations (UK) role for a while, and when he moved into the global position, he started to look for ways to improve things.

Leveraging his engineering experience, Ellesh and Gavin (Global Escalations Manager)  aimed to improve communication and efficiency at Qoria. 

As they continued to work on improving processes, he realized that the cohesion of communication between teams was crucial. 

Ellesh spoke with stakeholders, highlighting how much time was being spent on manual tasks. 

For example, every time there was a dev escalation, it took 15 to 20 minutes to gather the correct information from the customer. Then, it needed to go through several teams, from first-line support to escalation managers, before reaching development. 

Ellesh recognized the spent time and saw an opportunity to streamline the process. 

The inefficiency of having to work across two platforms, Zendesk and Jira, was another trigger for the change. 

This was the tipping point for both Ellesh and Gavin, prompting them to look for a solution that could simplify the workflow and reduce the time spent on administrative tasks.

Solutions Qoria Considered For Jira Zendesk Integration

It’s been a bit of a journey for Qoria because their business needs are quite specific. 

Previously, they used Azure DevOps alongside Jira in Qoria, but the business decided to streamline and focus solely on Jira. The default Jira automation solution wasn’t versatile enough, so they had to do a lot of workarounds. 

Unito was also one of the options they considered, but they found Exalate to be more approachable. They felt Unito was more of a self-serve solution, whereas Exalate offered a more personalized onboarding process. 

“I think Exalate is more approachable than Unito because I think Unito was basically like self-serve. Whereas with Exalate, we could do a customized onboarding.”

  • Ellesh Miyangar, Head of Support Enablement/Operations (UK & Global)

Ellesh believes Exalate will scale as they continue to use it. He is confident it will expand further as they move forward with their global enterprise.

Qoria’s Use Case

Considering Ellesh’s engineering background, we asked if they ever thought about building a custom integration themselves. 

They thought about it, but didn’t want something just out of the box. They didn’t want a simple solution where they just escalated something from Zendesk (support) to Jira (engineering). 

Working with Exalate’s scripting capabilities and Dhiren Notani (integration engineer at Exalate) gave them the advantage of learning more about Zendesk as a tool itself and what it can do. 

Having this ability to build custom integration rules using Exalate with the SaaS tools they use has been great for Qoria.

For example, changing the status to start the escalation workflow from Zendesk to Jira was an important factor for them. And when the Jira work goes back into Zendesk, it tells the support team that a ticket is logged with the hyperlink pointing to the actual work item. 

It’s like being on a journey, where the support team logs into their Zendesk and sees a story of everything that’s happening. When they look at how the bidirectional sync works, they can ask questions directly from Zendesk, without having to log into another platform. 

Qoria’s integration focuses on syncing key fields that are critical for cross-team collaboration. 

Specifically, the following data points are essential:

  • Ticket status updates to ensure both platforms reflect the same state of work, reduce the risk of miscommunication.
  • Internal comments between support (Zendesk) and engineering (Jira) teams, which will allow for smoother handovers, better visibility, and context sharing across teams without requiring users to log into both systems.
  • The syncing should be real-time or as close to real-time as possible to avoid latency in communication.
Jira Zendesk use case Qoria case study

Why Qoria Chose Exalate? 

The key Exalate highlight for the team at Qoria was the speed of the bidirectional sync. Other products they used were slower, and they had to wait for information to flow through. With Exalate, the sync happens almost instantly. 

“We were evaluating various products, and Exalate intrigued us because of the flexibility with coding.”

  • Ellesh Miyangar, Head of Support Enablement/Operations (UK & Global)

Now, with Exalate, the time spent on manual updates is significantly reduced. It still goes through the support team in Zendesk, but once it reaches the escalation manager, it’s just a quick click-and-go. 

The team has also made the process smoother for problem tickets where multiple customers have the same issues.

“We essentially built the custom integration we needed using Exalate, without overcomplicating things.”

  • Ellesh Miyangar, Head of Support Enablement/Operations (UK & Global)

Additionally, the flexibility of the AI is a major advantage. The team can simply say, “I want to do this, how can you help?” and it will provide the necessary code. The AI then asks, “Do you want me to apply it for you?” They can either accept that or enter the script themselves, check if it works, and tweak it if needed. From there, they can evolve the solution as they move forward.

“The bidirectional sync is lightning-fast, seconds, not minutes.”

  • Ellesh Miyangar, Head of Support Enablement/Operations (UK & Global)

Qoria’s Onboarding with Exalate

Exalate intrigued Qoria because of its flexibility with coding. It was particularly unique because Qoria had a specific way of using Zendesk for support operations, and everything needed to integrate smoothly into their development process, which was based on Jira.

Ellesh, with his engineering background, found this to be very beneficial. It wasn’t just about working on a global enterprise level and structuring processes, but also about understanding the technical side of things. 

He wasn’t working alone either. He collaborated with a colleague, Gavin, Escalations Manager of Engineering, who was based in Australia. They worked together because they shared a similar mindset when it came to coding.

“Our Jira Zendesk integration has driven global cohesion. The ticket holds the entire story, from support to engineering and back, which gives us a clean audit trail and protects customers from impact.” 

  • Ellesh Miyangar, Head of Support Enablement/Operations (UK & Global)

At first, the process was a bit daunting due to the new kind of scripting and coding. However, after going through the documentation and collaborating with Dhiren, they began to understand the system much better and could get everything implemented the way they wanted to.

Measurable Improvements After Using Exalate

Since Ellesh also manages Zendesk administration, he can now track reports easily and share them with relevant stakeholders. He reports directly to the COO, enabling him to demonstrate how case loads have decreased and how capacity planning is improving.

With Exalate, the escalation process has become much more automated and efficient.

When a ticket is logged, it is tagged correctly and placed in the right system, making it easier for the team to handle. The bidirectional sync between Zendesk and Jira has proven to be very helpful. It allows support teams to see the full journey of a ticket without needing to log into both platforms.

“When I showed leadership the before/after, manual escalations taking 20–30 minutes plus another 20 to create dev tickets versus a couple of clicks, they saw the time and cost savings immediately.”

  • Ellesh Miyangar, Head of Support Enablement/Operations (UK & Global)

Plus, when a ticket is logged, it goes into the correct tagging system and flows through the proper processes.

The escalation process has been cut down significantly.

Future

“We treat vendors as partners. When things go well, we promote them to other businesses. Exalate is one of those.” 

  • Ellesh Miyangar, Head of Support Enablement/Operations (UK & Global)

This mindset reflects a long-term perspective, where successful solutions are not only adopted internally but are also promoted to other businesses.

Ellesh recognizes the potential for Exalate to expand its reach through word-of-mouth referrals and recommendations, particularly as the product continues to perform well.

Exalate Connector for Asana: Bridge the Business and Engineering Gap Without Breaking Flow

Asana launch featured image

The Exalate connector for Asana is now live! 

This new connector bridges the collaboration gap between business teams working in Asana and technical teams using Jira, ServiceNow, Azure DevOps, and other platforms, eliminating manual updates and keeping everyone aligned without forcing them to switch tools.

Exalate supports all Asana plans (including Enterprise and Enterprise+) with full synchronization capabilities, regardless of your organization’s size or security requirements

The Problem: The “Coordination Tax”

If you’re a Product Manager, Project Lead, or IT Director, this scenario probably sounds familiar: your business and client-facing teams love Asana for project management, while your engineering teams are deeply embedded in Jira. The result? 

Someone becomes the “human API”, spending hours manually copying updates between platforms, chasing status updates, and dealing with the inevitable miscommunication that comes from maintaining two sources of truth.

This tool fragmentation creates what we call the “coordination tax”, valuable time spent manually copying updates between platforms, creating bottlenecks, and forcing high-value team members into low-value copy-paste work.

Why Exalate for Asana? 

Exalate for Asana eliminates this friction by automatically synchronizing tasks between Asana and your technical platforms, ensuring everyone works from the same reality without leaving their preferred tool.

Who Benefits from Exalate for Asana?

Product Managers and Project Leads

Stop chasing status updates and acting as a human API between teams. Get real-time visibility into development progress without making engineers context-switch into Asana. Focus on strategic work instead of manual coordination.

IT Directors and CTOs

Enable department autonomy without fragmenting your organization. Let business teams stay in Asana while engineering stays in Jira; no forced migrations, no productivity loss from tool-switching, and no vendor lock-in concerns.

IT Operations and Integration Managers

Replace brittle automation chains and homegrown scripts with a purpose-built integration that handles complex workflows, custom fields, and bidirectional sync reliably. Deploy once and forget about constant maintenance.

VP Operations & COOs

Align customer-facing and engineering teams without forcing them to adopt each other’s tools. Reduce project delays caused by miscommunication and outdated information.

Exalate for Asana Integration Use Cases

Cross-Department Synchronization: Marketing and product teams using Asana gain visibility into engineering work without having to understand the other team’s Jira environment.

Agency-Client Collaboration: Professional services firms track client-facing work in Asana while development teams work seamlessly in Jira.

Post-Merger Integration: When acquired companies use Asana and parent companies standardize on Jira, Exalate creates a temporary bridge during consolidation, or a permanent solution if tool autonomy makes sense.

IT Service Management Integration: Your business teams use Asana to manage projects and initiatives, but when they encounter IT issues or need infrastructure changes, those requests need to flow into ServiceNow for proper IT service management tracking.

Sales and Delivery Alignment: Your sales team tracks opportunities in Salesforce, but once deals close, implementation work needs to be managed in Asana, where your customer success and professional services teams operate. When a deal reaches “Closed Won” in Salesforce, Exalate automatically creates a corresponding project in Asana.

Exalate for Asana: Key Features

Comprehensive Entity and Field Support

Synchronize Tasks and Projects with extensive field coverage, including summaries, descriptions, assignees, reporters, statuses, due dates, custom fields (text, number, date, enum, multi_enum, people), attachments, comments, and labels. 

Rich text formatting is fully preserved, and parent-child task relationships sync correctly.

Advanced Flexibility with Granular Control

Unlike other integration solutions limited by rigid templates, Exalate’s scripting engine and AI-assisted integration enable you to customize synchronization at the most detailed level. Control exactly which fields sync, when they sync, and how they’re transformed, down to individual task-level details. 

This fine-grained control ensures security, relevance, and perfect alignment with your workflows.

Real-time Sync

  • Real-time one-way or two-way synchronization with full comment support, including edits
  • Bidirectional updates that maintain context
  • AI-powered mapping assistance

Cross-Organization and Multi-Instance Support

Exalate’s independent sync setup makes collaboration with external parties simple and secure. Each side controls its own configuration, making it perfect for agency-client relationships or post-merger scenarios. 

Plus, Exalate uniquely supports multi-instance sync and unlimited multi-project synchronization. 

Visit our Asana documentation to explore configuration guides and learn how to sync rich text, parent-child tasks, and complex custom field mappings. 

Getting Started

Stop treating integration as an afterthought! 

Exalate for Asana bridges the collaboration gap while respecting how your teams actually work. It’s synchronization that scales with your organization, adapts to your workflows, and just works, so your teams can focus on what they do best.

Start your free trial and experience truly flexible, reliable synchronization between Asana and your technical platforms.

Have questions about how Exalate for Asana fits your specific use case? Our team is ready to help you design the integration for your organization.

Introducing Aida Plan: Your Smart Guide to Perfecting Integration Requirements

Aida Plan Featured image

We bring to you Aida Plan, the next step for Exalate’s evolving AI assistance, which helps you define your integration requirements. 

You no longer need to struggle with unclear specifications and lengthy back-and-forths. Aida Plan will guide you through creating crystal-clear, implementation-ready integration requirements in minutes.

The Challenge We’re Solving

Setting up integrations between systems like Jira, Azure DevOps, ServiceNow, or Zendesk can be complex. Often, the biggest hurdle isn’t the technical configuration itself, but it’s knowing exactly what you need to sync and how it should behave. 

Vague requirements lead to:

  • Extended implementation timelines
  • Multiple revision cycles
  • Misaligned expectations
  • Frustration for both technical and business teams

Aida Plan changes this.

What is Aida Plan?

Aida Plan is an intelligent requirements generation wizard built specifically for Exalate integrations. Think of it as your personal integration consultant, asking the right questions at the right time, validating your answers, and ensuring nothing gets missed.

Supported Systems

Aida Plan works with all your favorite tools:

  • Jira (Cloud & On-Premises)
  • Azure DevOps
  • ServiceNow
  • Salesforce
  • Zendesk
  • Freshdesk
  • Freshservice
  • GitHub

How It Works: Your Journey with Aida Plan

1. Quick Setup

Start by telling Aida Plan the basics:

  • Which two systems are you connecting
  • One project from each system
  • Whether you need unidirectional (A → B) or bidirectional (A ↔ B) sync
  • What should trigger synchronization

2. Guided Conversation

After this, Aida Plan walks you through focused subjects relevant to your integration:

  • Sync items – What should be synchronized? (Issues, tickets, work items, incidents, cases)
  • Fields – Which specific data points need to flow between systems?
  • Comments – How should conversations be shared?
  • Attachments – Should files sync across platforms?
  • Statuses & Priorities – How do they map between systems?
  • Custom triggers – What specific events should initiate sync?

You can skip subjects if you’re not ready, add multiple requirements per topic, and revisit or edit anything at any time. 

For bidirectional integrations, you can switch between A→B and B→A directions during the conversation.

3. Smart Validation

Before finalizing, Aida Plan validates that every requirement is:

  • Implementation-specific (no vague statements)
  • Exalate-compatible
  • Conflict-free with other requirements

This ensures your requirements are ready for immediate action, whether that’s technical configuration or AI-assisted setup.

4. Actionable Output

Once complete, you receive your requirements in two formats:

  • An interactive overview screen for quick review
  • A downloadable report (PDF or structured document) for sharing

For bidirectional integrations, you’ll get separate, clear requirements for each direction (A→B and B→A).

Three Powerful Ways to Use Your Aida Plan Output

Your Aida Plan output isn’t just some document, it’s your integration blueprint:

  1. Internal Alignment – Review and refine requirements with your team using a structured, comprehensive document everyone can understand
  2. Accelerated Support – Share your requirements with Exalate support to jumpstart configuration calls. No more time wasted explaining context. Everyone starts on the same page
  3. AI Assisted Integration– Feed your requirements directly into Exalate’s AI-assisted script generator to kickstart automated configuration for your specific use case

Built for Everyone

Aida Plan can be used by solutions architects, IT admins, business analysts, or anyone who is interested in developing integration requirements. The wizard is designed to be simple enough for non-technical users while sophisticated enough to capture complex integration scenarios.

Security & Privacy

Your data matters. All conversations are logged for quality purposes, with personally identifiable information automatically anonymized after 30 days. You only have access to your ongoing conversations, no one else’s.

Get Started Today

Transform the way you define integrations with Aida Plan, now available in Exalate docs. Launch the wizard, answer a few questions, and watch as your integration vision becomes a clear, actionable plan.

Questions? Discuss your Aida plan with our team to get started.


Aida Plan is part of our commitment to making enterprise integrations simpler, faster, AI-assisted, and more reliable for everyone.

Exalate Launches Azure DevOps Server Connector: Real-Time Work Item Sync for Enterprise Teams

ADO Server launch featured image

Exalate now supports Azure DevOps Server with bidirectional synchronization, enabling enterprise teams to connect on-premise Azure DevOps environments with Jira, ServiceNow, and other platforms while maintaining full data control and compliance requirements.

About Exalate: Exalate provides powerful, flexible integration solutions for development, support, project management, CRM, IT operations, and other teams. Our connectors enable real-time synchronization across platforms while preserving context and giving you complete control over what data syncs and how.

What’s New: Azure DevOps Server Integration

We’re expanding our integration capabilities with the launch of the Exalate for Azure DevOps Server connector. This new connector brings the same powerful synchronization capabilities you know from our Azure DevOps cloud offerings to organizations running Azure DevOps Server in their own infrastructure.

What is Azure DevOps Server?

Azure DevOps Server (formerly Team Foundation Server – TFS) is Microsoft’s on-premises DevOps platform. Organizations in government, financial services, healthcare, defense, and manufacturing rely on it to maintain complete control over their development infrastructure, meet strict compliance requirements, and integrate with existing on-premises systems.

Unlike its cloud counterpart, Azure DevOps Server gives enterprises full control over where data lives, how security is configured, and when updates happen, which is essential for organizations operating under HIPAA or other industry-specific compliance frameworks.

Why Exalate for Azure DevOps Server?

Your development teams work in Azure DevOps Server. But the rest of your organization might be spread across different platforms.

Product managers live in Jira for sprint planning. Support teams handle escalations in ServiceNow. QA teams track bugs elsewhere. As the number of tools grows, so does the friction.

Teams resort to manual copy-pasting between systems. Critical ticket details get lost in handoffs. Developers waste time hunting down missing information. Project managers spend hours updating status across multiple tools instead of driving strategy.

By integrating Azure DevOps Server with other tools in your stack, like Jira, ServiceNow, Salesforce, Zendesk, and more, you can create a unified workflow that keeps complete context while respecting your on-premises setup.

The connector supports two-way synchronization of Azure DevOps Server work items, including bugs, user stories, tasks, and features.

With this in place, your teams benefit from:

  • Bidirectional sync between Azure DevOps Server and other platforms
  • Send the required information across platforms. Every comment, attachment, and status update flows automatically without errors
  • No more manual “sync tax”. Give developers back their coding time and managers their strategic focus
  • Complete data residency control for compliance requirements
  • Hybrid connectivity between on-premises and cloud tools
  • Full context preservation during work item transfers
  • Partner collaboration, where each side controls its own sync configuration, makes relationships and integrations with vendors simple

Key Azure DevOps Server Integration Use Cases

Let’s explore real-world scenarios where Exalate for Azure DevOps Server makes the biggest impact.

Project Management Collabs: Jira to Azure DevOps Server Sync

This is the most urgent integration need we hear about. Development teams work in Azure DevOps Server because it integrates tightly with the Microsoft stack. Product and project management teams prefer Jira for agile planning and its ecosystem.

Without synchronization, this creates a visibility gap.

With Exalate for Azure DevOps Server:

  • Product managers plan sprints and manage backlogs in Jira with full visibility into development progress in Azure DevOps Server
  • Developers work in their familiar Azure DevOps Server environment without switching tools
  • Status updates, comments, attachments, and priority changes sync both ways in real-time
  • Parent-child relationships and hierarchies stay intact across both systems
  • Custom fields map according to your exact workflows. No rigid, pre-set mappings

IT Support Teams: Automate ITSM-to-Development Escalations

An incident gets logged in ServiceNow. It needs engineering investigation. The current process? Manual ticket creation in Azure DevOps Server, constant status checks, and frequent follow-ups.

Exalate for Azure DevOps Server solves this by:

  • Automatically escalating ServiceNow incidents to Azure DevOps Server as fully-contextualized work items
  • Syncing complete ticket history, including comments, attachments, and custom fields
  • Reflecting resolution updates from Azure DevOps Server back to ServiceNow instantly
  • Maintaining SLAs without manual status updates or email check-ins
  • Keeping full audit trails for compliance and reporting

Cross-Functional Teams: Create One Workflow Across Multiple Platforms

Large enterprises often run complex, multi-platform environments. Infrastructure teams use ServiceNow. Security teams operate in Jira. QA teams have their own tools. Development happens in Azure DevOps Server.

Without integration, work that spans these teams requires constant coordination overhead.

With Exalate for Azure DevOps Server, you can:

  • Set up smart routing to direct work items to the right teams automatically
  • Keep muti-way sync across three, four, or more platforms at once
  • Apply conditional logic based on priority, tags, custom fields, or any other criteria
  • Keep everyone aligned without forcing everyone to use the same tool
  • Generate unified reports across your entire toolchain

SAFe and Scaled Agile Environments: Maintain Visibility Across the Organization

In SAFe implementations, program management typically happens in Jira while execution occurs across multiple Azure DevOps Server instances.

Portfolio managers need real-time visibility without accessing every individual system. Development teams need to work independently within their tools.

Exalate for Azure DevOps Server enables:

  • Portfolio-level planning in Jira with real-time rollup from Azure DevOps Server teams
  • Automated dependency tracking across teams
  • Synchronization of epics, features, and user stories while letting teams work independently
  • Conflict resolution for concurrent updates
  • Comprehensive reporting across the entire value stream

What Makes Exalate Different for Azure DevOps Server Deployments: Key Features

On-Premises Expertise

We understand the unique challenges of on-premise deployments: controlled update schedules, strict security requirements, hybrid connectivity needs, complex authentication scenarios, and custom network configurations. Exalate for Azure DevOps Server is built with these realities in mind.

Flexibility to Decide What Syncs and When

No rigid field mappings. Everything is configurable via an AI-assisted scripting engine. Map work item fields exactly the way you need them. Set complex conditions for when syncs should trigger. Route items to different projects based on type, priority, or custom criteria.

It’s also common that workflows change. Tools get added. Requirements shift. Exalate adapts without requiring you to rebuild integrations from scratch. Update mapping logic, add new fields, or change routing rules, all without disrupting existing synchronization.

Independent Sync Control at Each End

Each side of the integration has its own separate sync configuration. This means your team controls what data gets sent from Azure DevOps Server and how incoming data is processed. Your partners or external teams control their side independently. No shared configuration means easier cross-company integrations and better security.

Designed for Complex Use Cases

Use advanced logic to define exactly when and how syncs should fire. Create conditional routing based on status changes, tags, custom fields, or any combination of criteria. Handle exceptions smoothly. The scripting engine gives you complete flexibility.

AI-Assisted Configuration

Don’t want to write scripts from scratch? Use AI to generate synchronization logic based on natural language descriptions. Configure complex mappings in minutes instead of hours.

Trusted in Regulated Industries

Organizations in government, financial services, healthcare, and defense contractors trust Exalate to handle their most sensitive workflows while maintaining compliance with HIPAA and other stringent security or privacy requirements. Visit the trust center here.

Free Trial to Get Started

Request an Exalate for Azure DevOps Server Connector at no cost. Try the connector in your environment before committing to a full deployment.

Key Capabilities of Exalate for Azure DevOps Server

Exalate syncs multiple Azure DevOps Server fields, including Title, Description, State, Priority, Comments, Attachments, Tags, Custom Fields, Area Path, Iteration Path, Assigned To, Created By, Work Item Type, and more.

Text formatting (bold, italic, underline, lists, links) is preserved across systems. Parent-child hierarchies stay intact. Your team’s workflow stays smooth.

Work Item Synchronization

The connector supports comprehensive work item sync with these fields:

  • Core fields: ID, Title, Description, Status, Priority
  • Metadata: Created By, Assigned To, Tags, Area Path, Iteration Path
  • Rich content: Comments, Attachments, Acceptance Criteria
  • Technical details: Repro Steps, Severity, System Info

Text Formatting Support

All formatting is preserved during sync, including:

  • Bold, italic, and underlined text
  • Ordered and unordered lists
  • External and internal links
  • Horizontal rules

Check the whole list of supported entities here

Who’s it For

This connector is built for:

DevOps and Engineering Managers who need reliable automation between development tools without adding infrastructure overhead.

IT Operations Leaders in organizations with strict data residency or compliance requirements (HIPAA, FedRAMP, industry-specific regulations).

Support Managers who need to escalate issues to development teams while maintaining full context and traceability.Product and Project Managers working in scaled agile environments who need real-time visibility across multiple teams and tools.

Get Started with Exalate for Azure DevOps Server

If Azure DevOps Server is your development backbone, connecting it to the rest of your tooling ecosystem will transform how your organization operates.

Your teams will gain real-time visibility across platforms. Developers will stop wasting time on administrative tasks. Project managers will have accurate, unified reporting. Support teams will deliver faster resolutions.

Exalate for Azure DevOps Server offers real-time, two-way synchronization between Azure DevOps Server and systems like Jira, ServiceNow, Salesforce, Zendesk, and more, all while respecting your on-premises infrastructure requirements and security controls.

Interested in seeing how Exalate for Azure DevOps Server can transform your workflows? Book a demo with us. 

We’ll discuss your current challenges, walk through your specific use cases, and show you exactly what’s possible with your Azure DevOps Server environment.

Exalate 2025 Field Report: What Customers Say, Want, and Fear About Their Integrations

CI_Field-Report

Between January 2024 and July 2025, we analyzed 173 detailed conversations with our customers about their success with Exalate. They span every subscription tier and integration mix, giving a rare, ground-level view of how companies really move data between support desks, ITSM tools, and engineering backlogs. 

Below is a synthesis of the hard numbers and recurring story lines that surfaced. To protect confidentiality, all identifying details have been removed. 

The findings highlight both the drivers that push organizations toward integration and the pain points they struggle with once there: from eliminating manual “copy-paste” workflows, to coping with post-merger tool chaos, to balancing external visibility with strict security boundaries.

This report discusses where the pressure points lie, what makes integrations mission-critical, and which trends are shaping the next stage of cross-company collaboration.

Note on Methodology and Confidentiality

Key Takeaways At a Glance

  • 82% of customers integrate chiefly to eliminate copy-paste ticket escalation, saving up to 15 hours per team each week.
  • 66% need real-time visibility for customers, external partners, or vendors. 
  • Seven in ten organizations now run at least one cross-company connection, up from two-thirds a year ago.
  • More than 70% label Exalate “mission-critical”. 
  • Five recurring integration patterns dominate: support-to-engineering escalation, incident/change hand-offs, JSM (Jira Service Management) service-desk routing, multi-vendor project sync, and migration/co-existence bridges.

The Main Integration Drivers

Manual Copy-Paste Hell

Escaping manual effort remains the headline motive.

We just can’t keep exporting bugs and sending screenshots every time the vendor asks for an update, one support manager told us. 

This manual escalation process from front-office tools to engineering backlogs isn’t just inefficient; it’s error-prone, time-consuming, and demoralizing for teams.

The most common scenarios we see:

82 % cite “kill the copy-paste” ticket escalation as the primary integration driver.

Data Scattered Everywhere (Post-Merger Chaos)

Post-merger chaos is real. We regularly hear from customers dealing with multiple Jira instances that need consolidation, or complex Jira ↔ ServiceNow scenarios where nobody knows which system holds the truth.

After our acquisition, we had three different tracking systems and no way to see the complete picture, shared a DevOps lead from a manufacturing company. Projects were falling through the cracks because information lived in silos.

External Partner Visibility Without the Security Risk

Cross-company collaboration has exploded, but IT teams won’t give external partners direct system access. 

Real-time visibility for outside collaborators appears in two-thirds of the conversations, after mergers or new partner deals, but nobody wants to hand out extra tool licences or VPN access just so people can watch an issue move along.

  • Cross-company Jira synchronization is very common
  • Jira ↔ ServiceNow for vendor management
  • Jira ↔ Azure DevOps for sync across organizational boundaries
​​66 % need real-time visibility for external partners or vendors.

Migration Or Complexity

Migration and coexistence scenarios (keeping systems in sync) require reliable synchronization. 

Example: moving data between Jira Cloud ↔ Jira Data Center, or ServiceNow sandbox vs. production environments.

We thought the hardest part of moving to Jira Cloud was the migration itself. Turns out, keeping both systems in sync without an integration was the real challenge, explained an enterprise architect.

Exalate Industry Spread

Our customer base spans manufacturing, automotive, technology, SaaS, telecommunications, energy and utilities, public sector, defense, and consumer goods. 

Integration challenges are truly universal.

Business Criticality: When Exalate Becomes Mission-Critical

We asked our customers how critical Exalate integration is for their business. “What would it mean for your processes if the syncs were unavailable?” 

If the integration stalls for a day, teams estimate an extra three to four hours of manual work per agent, including messaging partners, copying comments, and exporting attachments. 

Some deliberately allow minor failures to demonstrate risk to stakeholders and justify migration budgets. 

Several accounts now link sync gaps directly to potential SLA penalties with their own clients.

As one operations director put it, a day of integration outage would have forced manual CSV exports, screenshots, and lost SLA time. We’re talking several hours per user per day of manual work.

70+ percent of respondents label their integration as “mission-critical.” 

Which Exalate Connectors Are Most Popular?

Based on our customer data, here are the most popular Exalate integrations:

The Big Players:

  • Jira ↔ Jira (cloud or data center) – still the most common connector
  • Jira ↔ ServiceNow – the classic ITSM bridge
  • Jira ↔ Salesforce – sales-to-development pipeline
  • Jira ↔ Azure DevOps – support-to-engineering integrations
  • Jira ↔ Zendesk – customer support workflows
48% pair Jira with a dedicated ITSM platform (ServiceNow, Zendesk, or Salesforce).

“Early-access Exalate connectors” like TopDesk, Xurrent, ServiceDesk Plus (by ManageEngine), Ivanti, ConnectWise, and Solarwinds appear in 12% of these calls.

Real-World Use Cases Our Customers Deploy

Support-to-Engineering Escalation

The classic scenario: front-office customer case logged in Salesforce or Zendesk becomes a Jira software work item the moment a specific status or priority is reached. From that point on, status, comments, and attachments travel in both directions. “This alone saved us 15 hours per week in manual updates,” reported a support team lead.

Incident and Change Management Handoffs

ITSM tools talking to development trackers – ServiceNow ↔ Jira, ServiceNow ↔ Azure DevOps. Critical for organizations where operational incidents need development attention.

Operations teams record incidents and change requests in an ITSM platform such as ServiceNow or Jira Service Management. Exalate forwards only the relevant records to engineering backlogs in Jira Software or Azure DevOps, then mirrors the fix or rollback details back to the service desk. 

Multi-Vendor Projects

Large enterprise projects often involve several external partners, each guarding its own system.

“Each of our three development partners maintains its own Jira, but we sync all epics, stories, and bugs through Exalate. Everyone stays autonomous but aligned,” explained a product owner managing a complex multi-vendor project.

Migration and Coexistence

During a move from on-prem Jira to Jira Cloud, or while consolidating two ServiceNow instances, data needs to be consistent across both platforms, enabling live user migration and zero blackout windows. 

This approach reduces migration risk and allows gradual user adoption.

Compliance and KPI Dashboards

Audit and leadership teams increasingly rely on a central BI layer. Exalate feeds that layer with synchronized, full-history data: ticket age, response times, change approvals, regardless of where the original work item lives.

 An operations manager told us, “Before Exalate, missing updates threatened our SLA compliance; now our dashboard is always complete and defensible.

The Fields That Matter Most

Status, comments, attachments, descriptions, priority, custom picklist fields, and checkboxes dominate synchronization requirements. 

Why Sync Stalls: Platform-Level Roadblocks Beyond Exalate

Here’s what breaks things often because of the limitations inside the source or target tools themselves, not something Exalate can control:

  • Attachment size limitations of the connected tools. For instance, Zendesk rejects any single file over 50Mb.
  • Mandatory field mismatches between systems. Different tools enforce “required” fields in different ways: what’s mandatory in one platform may be optional, hidden, or even nonexistent in another. When such a mismatch occurs, the receiving system rejects the record and stalls the sync. In such cases, admins must ensure the field settings are aligned or add fallback logic.

Because these limits live or are inherited inside the source or target application, Exalate can only surface the errors; it can’t override the platform’s own constraints. These are the top triggers for failed queues and frustrated administrators.

Internal vs. External Synchronization

Our analysis shows 70% of customers now run at least one external (cross-company) connection, up from roughly two-thirds previously. 

The remaining 30% limit Exalate to internal systems.

The pattern is clear: “We start inside, expand outside once stability is proven.” Companies build confidence with internal integrations before adding partner connections.

Customers also praise Exalate’s peer-to-peer connection model, which gives complete control over their instances and the trust to connect with external partners, ensuring tight security measures are in place, and data is never compromised. 

Who’s Making These Decisions?

Jira, ServiceNow, and Azure DevOps administrators plus DevOps engineers handle setup and script maintenance. 

Support managers and help-desk managers articulate the business pain and measure the impact. They understand the cost of manual processes and broken workflows.

Product owners and project managers approve expansion and licenses once reliability is proven. Increasingly, enterprise procurement officers are involved in version-pinning negotiations and multi-year price locks.

What Our Customers Love About Exalate

The peer-to-peer model gives us complete control, explained one administrator. We’re not dependent on a central hub that becomes a single point of failure.

Top appreciated features:

  • Peer-to-peer design with selective scripting control. Ensures every integration node has complete control and is more secure and resilient. Groovy scripting lets teams adapt field mappings, workflow logic, and even complex hierarchies to almost any scenario, so they are not locked into a rigid template. Several customers highlight the freedom to start small and gradually extend rules as new use cases appear, describing this flexibility as a key differentiator.
  • Bidirectional, any-to-any synchronization. Exalate can connect Jira, ServiceNow, Zendesk, Azure DevOps, and other tools in both directions, and it scales from simple one-to-one links to complex “one-to-many” topologies. The underlying architecture also works when one side sits behind a firewall: data is queued and delivered without requiring inbound ports to be opened.
  • Stability and performance at scale. Organizations mention effortless expansion to dozens of projects or additional platforms without re-architecting, calling Exalate “business-critical” once embedded.
  • Real-time automation triggers for conditional issue creation. As soon as a case is ‘Blocked’ and the owner flips to ‘Product,’ a linked Jira ticket just appears, no human touch.
  • Helpful support, documentation, and AI Assist. Users repeatedly praise quick, knowledgeable assistance and the growing library of docs, community content, and the AI-based configuration helper.

One engineer put it plainly: The beauty is that I can decide what to send and what not to send, line by line.

What Alternatives Did They Consider?

Most customers first evaluated native connectors or custom scripts (building their own integration). 

“We tried Zendesk’s built-in Jira connector, but it couldn’t handle our field mappings, couldn’t connect multiple Jira instances to a single Zendesk instance, and didn’t keep proper history,” one team shared.

The limitations of native solutions around history retention and scripting flexibility consistently push customers toward Exalate.

The New Emerging Integration Trends

Audit and Compliance Are Getting Serious

We’re seeing a major shift. Teams don’t just need current data; they need tamper-proof historical records across systems. 

Auditors or compliance officers want to see the complete trail of every change, not just what’s in the system today. 

This isn’t just about keeping records. It’s about proving nothing was altered or hidden.

Exalate as the Integration Hub

Our customers have evolved beyond simple point-to-point connections. 

We started with Jira-to-Jira, but now we’re connecting everything through Exalate – Salesforce, ServiceNow, Azure DevOps, shared a solution architect.

People increasingly implement Exalate as their central integration hub, connecting not just Dev/ITSM tools but entire business application ecosystems like ServiceNow, Freshservice, Zendesk, Salesforce, Jira Service Management, Azure DevOps, Freshdesk, Jira, and other exotic ITSM systems like Xurrent and Ivanti (especially true for our MSP and MSSP customers).

AI-Assisted Integration: Promising and Rapidly Evolving

Several administrators tried our AI Assist to accelerate script generation. Feedback says it’s a “solid jump-start” that speeds up script creation, while warranting a quick human review, a standard practice for any AI-generated code. 

As one power user puts it, the AI Assist suggestions get me 80 % of the way there, and a quick pass finishes the job.

Some organizations block AI features entirely due to policy constraints. But for those who can use them, the experience improves with every release. Our product team is actively adding richer integration context, higher-precision prompts, and guardrails to make AI Assist an even more dependable partner.

Addressing the Top Customer Requests: Product Roadmap

Version Control & Safe Upgrades

 “Please let us pin a version; one silent update broke our checkbox mapping,” an enterprise admin told us. 

That sentiment is widespread: nearly half of the 2025 customers asked for either version-pinning or a sandbox to test releases first. 

Good news: both capabilities are already in active development and will roll out in upcoming milestones.

Permission Granularity

Teams want to manage only their own connections and scripts and not have broad system access.

Fine-grained permissions and a single console to manage your connections and scripts are already underway. 

License Usage Transparency

Demand for clear visibility into license usage across multi-instance networks is especially important for cost management and compliance. 

A consolidated licensing policy is being designed and slated for a future release.

Every pain point listed here is not just heard, but it’s already being turned into features on our product roadmap

Our Commitment Moving Forward

Integration has clearly graduated from “nice automation” to “can’t-break infrastructure.” 

Customers praise Exalate’s peer-to-peer model and scripting freedom. The winner will be the tools that combine this with reliability, observable health, and release control.

The next leg of our journey is therefore obvious. To shape and align our product roadmap even further, based on these insights and feedback, and make the platform well-positioned to remain the integration engine teams can’t live without.

Exalate doesn’t just connect our systems, one customer summarized. It connects our teams, our processes, and our ability to deliver on promises to our clients.

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What AI Can and Can’t Do in Enterprise Integrations (Yet)

Role of AI in integration - Featured image

Let’s face it: getting your systems, tools, and data to play nicely together has never been easy, especially now that SaaS sprawl has become a reality. 

Companies are trying to sync ITSM tools, CRMs, and project management platforms, or connect versatile workflows hidden behind different systems, all as part of their digital transformation journey.

But traditional ways of integrating these tools are often messy, time-consuming, rigid, or technically heavy.

Exalate has been in the trenches of integrations long enough to acknowledge these challenges. We specialize in helping businesses integrate different systems, like Jira, ServiceNow, Salesforce, Azure DevOps, etc. It’s built over an AI-powered scripting engine that allows teams to create custom, scalable integrations that meet their specific needs. 

A recent conversation with my colleagues at Exalate quickly turned into a deep dive into how AI is reshaping integration. This isn’t just theory; it’s something we’re actively building into our approach every day. 

What if AI could take some of the heavy lifting off your plate? 

That’s exactly where the world of integration is heading, and it’s changing everything, from how integrations are built to who gets to control them.

These shifts are too important to ignore, which is why we are sharing our collective take on where integration is heading and why it matters. And if you’re in the business of connecting systems, tools, or workflows, this is something you’ll want to keep a close eye on.

The Old Integration Way: Drag, Drop, and Hope

For years, integrations have been viewed as “easy” drag-and-drop interfaces or template-based solutions. 

These tools promise simplicity, but they often feel like trying to squeeze a square peg into a round hole. 

Sure, they work, but they’re not exactly flexible. As businesses grow and systems get more complex, these old-school methods start to show their age.

This is where script-based solutions like Exalate are promising. Instead of being limited by predefined templates, you get the flexibility to configure integrations that truly match your unique business workflows. You can create custom rules that handle the exact logic you need. 

But this comes with certain challenges: having the right technical knowledge and the ability to handle ongoing maintenance of scripts. 

So, how can integration vendors overcome these challenges while making sure they stay relevant for the user?  

How AI is Changing the Way Integrations Work? 

When integrations are combined with AI, they bring forth the most valuable asset for the user: context.

It’s this context, the deeper understanding of both systems at play, that’s often missing in the current integration setups. 

Just like Usman Shani (AI Engineer at Exalate) puts it across: Imagine what AI can do if it knows the whole structure on both sides of the integration. Context is key!

When AI steps in, it’s not just helping systems talk to each other; it’s learning the language they speak, the workflows they follow, and the nuances of how data flows between them.

From building quick, low-code connectors to auto-generating tailored scripts for more complex use cases, AI is actively simplifying how integrations are built and scaled. It’s reducing the grunt work by making smarter decisions, matching data fields, mapping relationships, and catching potential errors before they happen. 

The beauty of AI in integrations is that it can automatically suggest optimizations based on how your system is set up. Bruno Dauwe (Product manager at Exalate) says. It’s like having an assistant who already knows how everything is supposed to work.

For Exalate, this means using AI to automatically generate sync rules and making intelligent, context-aware synchronization. Imagine an integration that can auto-suggest mappings based on historical prompts and current configurations.

Let’s say you’re connecting two systems with different workflows, like Jira and ServiceNow

Traditionally, this would involve lots of back-and-forths: comparing data formats and fields, mapping statuses and setting up detailed integration requirements, scripting the integration logic, and ensuring everything lines up. 

But with AI, the system can learn your setup, ask more contextual questions, and suggest integration scripts and mappings based on language, not just rigid fields.

So, if Jira has a “Ready for Development” status while ServiceNow calls it “In Progress.” The AI will recognize that these are essentially the same statuses but use different terminology. It can then map those for you, without you having to figure it out manually. 

But this is just the tip of the iceberg. Progressing in this journey for us means using AI to build integrations end-to-end, starting from the integration plan to troubleshooting, maintenance, and much more. 

I see AI learning my system’s quirks and suggesting improvements. Bruno explains. Instead of asking me to input data, it takes a look at my workflow and knows exactly what to do.

How do Different Integration Tools Leverage AI?

Different integration tools use AI in unique ways to address specific business needs. 

Here’s how AI is being used in modern integration tools: 

AI as a Co-Pilot for Building Integrations

In this approach, AI works towards generating integrations by understanding plain language. Instead of writing sync scripts or code, you just describe what you want in simple terms, and the AI builds the workflows or scripts for you. 

It can suggest the next steps, map data automatically, or even generate your integration plan. This makes creating complex integrations much faster and less dependent on technical skills.

AI as Part of a Workflow

Here, AI is used as part of the actual integration steps. 

For example, a message could be translated automatically, customer feedback could be analyzed for sentiment, or meeting notes could be summarized. In other cases, AI generates social media posts, answers questions, or checks grammar as part of the process. Essentially, AI becomes one of the building blocks inside the flow, not just a helper for building it.

AI for Clean and Connected Data

Some tools focus less on “flashy” AI features and more on making sure the data flowing between systems is ready for AI, calling it data normalization for AI. They ensure that the information is clean, standardized, and synchronized in real time across tools. This way, when businesses feed the data into their AI models or agents, the results are more reliable. 

AI Orchestrator For Multiple AI Models

Some tools have an AI orchestrator that manages the interaction between various AI models and business systems. 

It acts as a coordination layer, using APIs and standard data formats to enable Natural Language Processing (NLP) models and predictive algorithms to collaborate. 

Over time, the orchestrator learns which AI combinations yield the best results, continuously optimizing integration patterns. 

Exalate’s AI Assist works as a copilot for generating sync scripts. It’s still early days, but our direction is clear: AI isn’t just a backend enhancement but will work as your assistant in designing, implementing, managing, and scaling integrations. 

AI’s Impact on IT Teams: From Overworked to Overseeing

As AI tools get better at handling integrations, the role of the IT team is also shifting. Traditional integration methods often required IT teams or admins to be deeply involved in the day-to-day management of integrations, monitoring for errors, and tweaking workflows. 

Now, AI is taking over most of that, leaving IT leaders with more strategic oversight responsibilities.

IT leaders will move from being implementers to strategists, says Francis Martens (CEO and CTO at Exalate). Instead of worrying about every little detail, they’ll be focused on making sure AI integrations stay aligned with business needs.

But, AI isn’t here to replace IT professionals entirely. It’s more about complementing their expertise. 

Yes, AI can handle a lot of the grunt work, Gill Van de Water (IT Manager at Exalate), but someone still needs to make sure the system is secure and that the integration follows company policies. AI can automate, but we still need human oversight.

The Skills IT Leaders Need for AI-assisted Integration

Adapting to the AI-powered future is not just about being able to build an integration anymore; it’s about understanding AI, how it works, and how to validate its outputs.

One thing that came up a lot in our discussions? AI literacy. IT leaders don’t need to be AI experts, but they do need to know enough to keep things running smoothly. 

Bruno sums it up perfectly: It’s like knowing how to Google something. You don’t need to be a computer scientist; you just need to know how to phrase the question.

In short, knowing how to prompt AI effectively and critically evaluate its answers will be key skills for future IT leaders.

Should IT Leaders “Give Up” Traditional Ways of Integration? 

As AI becomes more advanced, many are asking: Should we ditch the traditional ways of integration in favor of AI-powered integrations? Some say yes, because AI is faster, smarter, and more efficient. But not everyone is ready to abandon traditional methods completely.

There are still areas where traditional integration tools make sense, Francis says. For highly regulated industries or complex setups, you still want that human touch. AI’s not ready to handle everything just yet.

Why Traditional Integration Still Matters

  • Control and Predictability: Critical business processes still need strict rules, guaranteed delivery, and reliable results. Traditional ESB/iPaaS patterns make this predictable and easy to test.
  • Compliance: Regulated industries (finance, healthcare, public sector) need full traceability, logs, and audit trails. AI’s “black box” decisions can make this complicated.
  • Legacy systems: Many core systems (mainframes, old ERPs) still rely on connectors that AI can’t easily replace.
  • Security: Sensitive data often requires on-prem setups with strict access rules.
  • Cost control: AI costs can spike as usage grows. Traditional tools have more predictable pricing.
  • Organizational maturity: Organizations already have skills, rules, and systems built around traditional methods. Switching too fast adds risk.

Why AI-Powered Integration is Attractive

  • Speed to value: AI can auto-map fields, infer schemas, and build connectors in hours instead of weeks.
  • Handling messy, unstructured integration needs: Emails, PDFs, images, and free text are easier for AI to handle.
  • Self-healing: AI can detect issues, suggest fixes, and auto-recover from common errors.
  • Accessibility: Natural-language prompts make integration easier for non-experts.

That said, hybrid approaches, where AI is used alongside traditional tools, are emerging as a middle ground. This way, businesses can get the best of both worlds: the flexibility and ease of AI, combined with the reliability and control of traditional methods.

The Future of AI in Integration

So, what does the future hold for AI-powered integrations? For many, it’s about business agility and innovation. 

As AI simplifies integration tasks, more people, especially business users, will be able to take charge of the process. The result? Faster, more innovative business functions. 

But this shift also means changes in company culture. IT teams will no longer be the gatekeepers of integration; business users, also called citizen integrators, will have a much bigger role in setting up integrations with better control, and AI guiding the way. 

It’s an exciting, yet challenging transition, one that requires training and upskilling to ensure smooth adoption.

Looking Ahead

AI is changing the way we think about integration, giving business users more control over the process.

But as with any major shift, there are challenges. IT leaders will need to balance the power of AI with the need for oversight and security. And as AI continues to evolve, new skills will be needed to keep up. Still, one thing is clear: the future of integration is AI-driven, and it’s happening faster than we think.

Acknowledgments
This article was shaped by insights from:

  • Francis Martens, our CEO and CTO, who leads the strategic shift at Exalate as AI reshapes integrations.
  • Bruno Dauwe, our Product Manager, who leads Exalate towards an AI-powered future. 
  • Gill Van de Water, our IT Manager, who emphasizes the changing role of IT admins in the current context of AI-powered integrations.
  • Usman Shani, our AI Engineer, who has brought to life all AI efforts at Exalate. 

How to Sync Jira and Azure DevOps: 6 Integration Use Cases That Work

Jira-to-Ado-1910x1074 (1)

This post was originally posted on the Atlassian community.

In our previous Atlassian post, we talked about optimizing Jira-to-Jira integrations to improve workflows and team collaboration. In this second post, we’re focusing on Jira Azure DevOps integration.

Many teams use both Jira for project management and Azure DevOps for development, and connecting these tools can make work smoother and more efficient. We’ve collected some common use cases from our conversations with users, highlighting the typical challenges they face when syncing Jira with Azure DevOps.

So, here it goes! 

1. Syncing User Stories and Bugs Between Jira and Azure DevOps

A key challenge for many teams is ensuring that user stories and bugs stay in sync between Jira and Azure DevOps. 

Sync user stories between Jira and Azure DevOps

Use Case:

  • Current Setup: Teams use Jira to manage incoming user requests, while Azure DevOps (ADO) is used for development tasks.
  • Problem: Updating Jira issues and Azure DevOps work items manually is time-consuming, and keeping both systems aligned (e.g., updates, comments) can lead to inefficiencies.
  • Solution: Implementing two-way synchronization between Jira and Azure DevOps allows both systems to update automatically, ensuring bugs and user stories are always in sync. This integration saves time and reduces human error, enabling development teams to focus on the actual work.

2. One-Way Sync for Specific Use Cases (Jira to Azure DevOps)

In some cases, businesses only need a one-way sync from Jira to Azure DevOps. This is particularly useful when Jira serves as the main project management tool, and Azure DevOps is primarily used for development.

One-way sync (Jira to Azure DevOps)

Use Case:

  • Current Setup: Jira is used for planning and tracking, while Azure DevOps manages the development work.
  • Problem: The team needs to ensure that certain fields, such as start/end dates, sprints, titles, and status, are automatically copied over to Azure DevOps from Jira without needing to manually enter them into both systems.
  • Solution: A one-way sync can automate the transfer of key metadata, such as user story status or due dates, from Jira to Azure DevOps. This ensures that the development team in Azure DevOps can easily see updates while preventing the need to constantly update two separate platforms.
“Our project managers use Jira to track overall progress, but the developers prefer Azure DevOps for managing work items. A one-way sync has helped us keep everything organized without extra manual work.”

Jira User, Product Owner

3. Syncing Work Item Status and Updates Between Jira and Azure DevOps

Another common use case is synchronizing status updates between Jira and Azure DevOps, ensuring that work items in one system reflect the correct status based on actions taken in the other system.

Sync work items between Jira and Azure DevOps

Use Case:

  • Current Setup: The development team in Azure DevOps works on code and creates pull requests (PRs) linked to Jira issues.
  • Problem: Manually updating Jira status based on PR progress or approval in Azure DevOps is prone to errors and slows down the development lifecycle.
  • Solution: Integrating PR status with Jira allows updates to be triggered automatically. For example, when a PR is created or approved in Azure DevOps, Jira can automatically update the user story or task status to reflect its progress (e.g., “In Progress” to “Code Review” to “Ready for QA”).

4. Automating the Creation of Jira Tickets Based on Azure DevOps Tasks

For teams with external partners, it’s common to create Jira tickets automatically based on specific actions taken in Azure DevOps.

Jira ticket creation from Azure DevOps work items

Use Case:

  • Current Setup: A development team uses Azure DevOps to manage work items, while an external partner uses Jira for managing tasks.
  • Problem: Manually creating corresponding Jira issues for tasks in Azure DevOps can be time-consuming.
  • Solution: Using automation, Azure DevOps tasks can be tagged in a way that triggers the automatic creation of corresponding Jira tickets, ensuring seamless task tracking across both systems. The integration also ensures that both teams can easily collaborate and track progress without switching tools.

5. Syncing Epics, Features, and Work Items Across Jira and Azure DevOps

Syncing high-level features, epics, and related work items across Jira and Azure DevOps is critical for ensuring that development teams can track the overall progress of a project while staying connected to specific work items.

Epics and features sync between Jira and Azure DevOps

Use Case:

  • Current Setup: Epics are tracked in Jira, while Azure DevOps is used to manage features and work items.
  • Problem: It can be difficult to link work items in Azure DevOps to corresponding epics or features in Jira, leading to visibility gaps.
  • Solution: The integration can synchronize epics and features across both platforms, ensuring that progress on a high-level project in Jira is reflected at the work item level in Azure DevOps. This helps project managers and development teams stay aligned on overall project goals and timelines.
“Before the integration, we had to manually update the status of tasks in both systems. With the sync in place, work items update automatically in both Jira and Azure DevOps, saving us a lot of time.”

Product Manager, Enterprise Software Company

6. Managing Multiple Projects in Jira and Azure DevOps Simultaneously

For teams with complex project structures, integrating multiple Jira projects with a single Azure DevOps project can help ensure data consistency and visibility.

Manage mulitple projects in Jira and Azure DevOps

Use Case:

  • Current Setup: A single Azure DevOps project is used for development, while multiple Jira projects are used for different teams or business units.
  • Problem: Syncing data between multiple Jira projects and a single Azure DevOps project can be tricky, especially when dealing with different workflows and priorities.
  • Solution: The integration can be set up to sync key data (e.g., titles, statuses, start dates, and sprint information) from multiple Jira projects to Azure DevOps, making it easier to manage work across teams without losing track of project-specific details.
“We use custom fields in Jira to track additional details, but keeping them in sync with Azure DevOps was always a challenge. Now, the integration ensures that our metadata is consistent between both systems.”

Business Analyst, Agile Software Team

Have you integrated Jira with Azure DevOps? We’d love to hear about your experience! Share your challenges, solutions, or insights in the comments below and join the conversation, or simply get on a call with me. 

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