A ticket changes status on its own. An action you counted on never fires, and something you never configured happens instead. You open your automation rules to find the culprit, and two hundred of them stare back across a dozen projects, with nobody on the team able to say which one did it. That was the moment Faith Nyamande from Appfire described at the Work Evolution Summit, and if it made you wince, you already know the problem she came to talk about.
She gave that mess a name: automation debt. Her session showed how to govern it inside Jira Service Management, so your automation keeps supporting your ITSM processes instead of quietly working against them. You start with a handful of SLA rules and a few incident workflows, you add a few more, and a year later hundreds of automations run across your service desks with no clear owner. If your Jira instance has grown faster than your control over it, this one is for you.
What Automation Debt Actually Is
Plenty of teams live with this problem for years without knowing it has a name, so Faith started with a definition.
“automation debt is the accumulation of poorly designed, duplicated or unmanaged automation rules that make your system harder to manage over time”
It works like technical debt, except it lives in your automation layer. Every rule you add feels helpful in the moment. Stack enough of them without a plan and the maintenance load starts to eat the payoff. Faith gave you a clean way to know when you have crossed the line.
“you know that you are in debt when the cost of maintaining outweighs the benefits that you’re receiving”
The numbers behind this get your attention. Faith cited a McKinsey study with leading CIOs, and one of them shared what changed when the team stopped patching symptoms and went after the underlying problem. That organization had been spending 75% of its engineering time paying down tech debt. After the shift, it dropped to 25%. Read that again. Three quarters of engineering hours went to maintenance, and a change in approach freed most of it back for real work. Her takeaway applies directly to your automations: fix the root cause, not the symptom that surfaced this week.
The Signs Your Jira Instance Is Already in Debt
So how do you know if this describes you? Faith walked through the patterns she sees inside Jira, and they read like a diagnostic checklist.
You lose time hunting for misaligned rules, because hundreds of automations spread across different projects with no central place to see them. You run duplicate or conflicting automations that trigger the same action, which adds complexity and buys you nothing. You get the mystery behaviour from the top of this article, issues shifting for reasons no one can trace. You get fragile workflows that break the moment something upstream changes. And the big one for anyone who answers to auditors: you struggle to audit or update rules at scale. Naming conventions drift. Nobody agreed on who can build a rule or what belongs under central control. Documentation falls behind. When compliance season arrives, that gap turns into real exposure.
Notice that every item on this list is a governance failure, not a tooling failure. The automations are doing exactly what someone told them to do. The problem is that no one is governing what gets told to whom.
What Jira Gives You, and Where It Stops
Faith was fair about the native tooling, and you should be too. Jira ships with genuinely strong automation. You get Jira Automation built in, bulk change across Jira Service Management and Jira Software, and Rovo, which Atlassian keeps investing in heavily. When you start out, these tools carry your team. They cut manual work and help you plan and save time.
The trouble shows up with scale. As Faith put it, the more advanced your instance becomes, the more users you add, and the more you grow, the harder the whole thing gets to manage. The tools that felt effortless at 20 rules start to strain at 200. That is the moment governance stops being optional.
Where a Purpose-Built Layer Comes In
This is the gap Appfire aims at. Faith noted that Appfire is the largest app vendor on the Atlassian Marketplace, which means it ships more apps there than anyone else. For automation specifically, the company extends Jira with a flexible layer built for advanced logic, programmability, and cross-team workflows, so you can scale rules in a way that stays consistent, stays controlled, and matches how your teams actually operate.
She framed the automation apps as a pick-and-mix you choose from based on your team’s maturity. JSU handles structured automation enhancements. JMWE supports advanced workflow logic. Power Scripts covers scripted automation with deep programmability and integrations. Faith spent her time on JMWE, short for Jira Misc Workflow Extensions, one of the more popular workflow apps on the Marketplace. Its appeal is that it works no-code or low-code and grows with you. You can start fully no-code, then reach for the low-code capabilities as your team gets more confident. Which of those three you need says a lot about where your team sits on that curve today.
Two Teams That Turned Debt Into Control
Faith prefers real customers over polished demos, and she shared two, both with names redacted for privacy.
Manufacturing: From Reactive to Predictive Maintenance
The first customer ran a manufacturing operation where the shop floor and management barely talked to each other. That fragmented communication led to equipment downtime and wasted resources. They wanted operational data to flow automatically so maintenance and production could react in real time and keep overall equipment effectiveness high.
With JMWE, they replaced manual logs with automated triggers. Equipment alerts now come in through API and QR codes and instantly generate prioritized tickets. Technicians get dispatched based on who is actually available at that moment. The system also watches spare part levels and kicks off procurement before a critical shortage hits, which keeps the asset and inventory lifecycle moving. The result moved them from reacting to failures to predicting them. The numbers Faith showed: a 30% reduction in mean time to repair through instant routing, optimized stock levels from that automated procurement loop, and a complete digital history of every asset that made safety and ISO audits far simpler.
Regulated Operations: Audit Readiness Without Losing Speed
The second customer operated in a heavily regulated environment where manual oversight had become the bottleneck. Every manual check added operational risk and slowed time to market. They swapped reactive manual checks for proactive automated governance, and the goal was audit readiness that did not cost them their agility.
With JMWE, they replaced manual handoffs with workflows that enforce regulatory requirements such as KNF, EBA, and GDPR at every stage of the lifecycle. Manual report preparation gave way to automated, timestamped documentation exports, so compliance reports sit ready to pull at any moment with zero-touch auditing. The payoff: a 40% reduction in administrative overhead on compliance reviews, the elimination of human error in mandatory safety and security checks, and faster time to market once automated triggers removed the approval silos.
Look at what both stories share. Neither team set out to write more automations. They set out to make their automations governable, auditable, and aligned to a real process. The efficiency followed from the control, not the other way around.
Automation Is One Piece of a Bigger Picture
Faith was clear that Appfire’s ITSM and ESM footprint reaches past automation into the planning, delivery, learning, and optimization phases of service management. She called out two apps worth knowing. Time to SLA tracks service level agreements across both Jira Service Management and Jira Software, so teams collaborate across platforms and stop missing deadlines. Dashboard Hub Pro builds real-time dashboards that integrate with almost any platform through REST API, from Salesforce to whatever you run, and it lets you share password-protected views with people who do not hold a Jira license. If you report to your C-suite or to external customers, that last detail solves a headache you have probably felt.
She also pointed to enterprise strategic planning through Big Picture, and to platform administration apps that support the work many of you are staring down right now, including migrations from Data Center to Cloud, consolidation, change management, and knowledge management.
What This Means for Your Service Desk
Faith’s session handed us a mindset before it handed us a product. Automation debt grows quietly, and the cost stays invisible until maintenance starts crowding out the work you actually care about. The way out is governance you apply on purpose.
Start with the questions Faith’s challenges raise:
- Can you see every automation running across your projects from one place?
- Do you know which rules duplicate each other?
- Have you agreed on naming conventions, on who is allowed to build a rule, and on what belongs under central control?
- Is your documentation current enough to survive an audit?
If you hesitated on any of those, you have automation debt, whether or not you had a word for it before today.
The customers Faith described did not win by automating more. They won by bringing structure to the automation they already had, tying each rule to a real ITSM process, and treating audit readiness as a design goal rather than a scramble before a deadline. Whether you handle that with native Jira tooling, a purpose-built layer like JMWE, or a combination, the principle holds. Govern the growth on purpose, or pay for it later in engineering hours you will never get back.
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About Life in Codes
Life in Codes is on a mission: to support organizations of all kinds to work in a more productive way. That means smart tools, healthy practices, and training the people. As an Atlassian Solutions Partner active in Romania, Estonia, Belgium, UK and the UAE, with our team spread across Europe.
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