Home / Agentic AI / Use case: IT service desk agent
Illustrative scenario

An IT service desk agent, introduced in three phases

How we would introduce an agent to a 15-person IT service desk handling about 1,200 tickets a month, starting read-only and earning the right to act.

This is a composite example built from common enterprise requirements. It is not a specific client engagement, and the figures are design targets for the scenario, not measured results.

Tickets~1,200 a month
Routine shareAbout 40%
Tools5 MCP servers
Rollout3 phases
The situation

Routine tickets crowd out real work

About 40% of tickets were routine: VPN problems, account unlocks, certificate renewals and access requests. Each took a few minutes of work but often hours of waiting, because engineers were busy with harder problems.

The design

Tools and limits

MCP serverToolsLimit
DirectoryLook up user, team, managerRead only
MonitoringRead VPN and device logsRead only
VPN serviceRenew device certificateAllowed automatically, logged
Access managementRequest and grant accessManager approval required
TicketingCreate, update and close ticketsAllowed, logged

MFA settings, admin rights and deletions are not available to the agent at all. You can watch this design in the interactive demo.

Rollout

Three phases

  1. Month 1, shadow: the agent diagnoses each routine ticket and suggests the fix. Engineers act and mark whether it was right.
  2. Months 2-3, low-risk actions: certificate renewals and unlocks run automatically. Everything else is drafted for an engineer.
  3. Month 4 onward, approvals: access requests are prepared and sent to the manager for one-click approval.
What changes

Targets and how they are checked

MeasureTargetChecked by
Routine tickets resolved without an engineerMost low-risk onesTicket data by category
Time to resolve routine ticketsMinutes instead of hoursTicket timestamps
Harmful or wrong actionsNoneWeekly review of the audit log
Trade-offs

What we would flag

  • Engineers must review in month one. Without their feedback, there is no evidence to move to phase two.
  • Managers must answer approvals quickly, or access requests simply wait somewhere new.
  • Tools will need tuning. Expect to adjust tool descriptions and limits after the first weeks.

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