A laptop request clears approval in under a minute. The employee gets a confirmation email and moves on with their day. Three days later, they follow up and find the ticket sitting in a shared queue that nobody actually owns. The catalog worked. The approval workflow worked. What broke was the part that comes right after, the part where a person or a system was actually supposed to fulfill the request.
A new hire needs Adobe Acrobat installed before her first day. There's no catalog item for it, so the request goes out as an email. The help desk forwards it to software licensing. Licensing asks for a cost center nobody mentioned. By the time an answer comes back, she's three days into the job and working around a PDF she can't edit. None of that delay came from a hard problem. It came from a request with nowhere defined to land.
A user submits a ticket that says their VPN (Virtual Private Network) won't connect. Another submits one asking for VPN access for a new contractor starting Monday. The subject lines look almost identical, but the two tickets need completely different handling. Route the first one like a routine request and an actual outage sits in the wrong queue. Route the second one like an emergency and you've added urgency to something that was never broken in the first place.
A service request gets submitted at 9 AM. By noon it hasn't moved. Someone follows up, gets bounced to the wrong team, and resubmits. Three days later, the request finally reaches the person who can fulfill it, and the user has already found a workaround. IT didn't fail because they lacked capability. They failed because nobody had defined who owned that request, what information was needed upfront, or how long it should take.
An IT technician closes a support ticket and, before moving on to the next one, an AI has already drafted a knowledge article from the resolution notes and queued it for review. That workflow is real, and it's spreading across ITSM platforms fast. But it's also where teams run into trouble.
An IT team spends six months evaluating IT Service Management (ITSM) platforms, builds the business case, gets budget approved, and completes the migration. Six months after go-live, tickets are still bouncing between tiers, agents are still re-solving the same problems from scratch, and end-users are logging the same complaints they were before the project started. The tool changed. The dysfunction didn't.
Picture a new IT help desk analyst, three days in, on solo tickets because the team is short-staffed. They can't find the escalation path for Active Directory issues. The VPN troubleshooting guide isn't where they thought it was in the knowledge base. IT help desk tickets close incorrectly and get reopened by frustrated end users, and circle back to a senior analyst's queue. The new hire didn't fail because they weren't capable. They failed because no one built a program to prepare them.
The IT team finished the quarter with a 99.7% uptime record, resolved 847 service requests, and completed a system migration that had been on the finance department's wish list for three years. The CTO summarized all of it at the leadership meeting.
If you've spent the last couple of years working around your IT Service Management (ITSM) software rather than with it, you already know the system isn't keeping up. Tickets pile up, reports require hours of manual effort to produce, and integrations that were supposed to work together keep needing attention. The harder part isn't diagnosing the problem. It's building a document that convinces a CFO or CIO to release the budget to fix it.
Every IT team knows the feeling. The outage is over, the system is back up, and everyone is exhausted. The instinct is to move on. But moving on is exactly how the same incident happens again six months later.
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