AI agent blueprints for IT.
Service-management blueprints that prepare bounded resolutions while keeping access and device changes human-approved. Each pattern defines the evidence it reads, the artifacts it produces, the authority it may exercise, and the human who makes the consequential decision.
IT operations, service desk, identity, and workplace technology teams
IT service owner
private · read/propose · human-gated
Nine jobs with a crisp acceptance test.
These are implementation patterns, not generic “AI for IT” pages. Open one to see its exact trigger, topology, grants, approval boundary, failure modes, and KPI.
Help desk ticket triage
Classify a ticket, gather relevant approved knowledge, and prepare a routed resolution packet for the service desk.
time to correct assignment
Employee onboarding access plan
Translate an approved role and start-date packet into a least-privilege access and equipment checklist.
day-one IT readiness
Offboarding revocation plan
Build a time-bounded account, device, token, and ownership-transfer checklist from approved departure data.
access revocation completion
Software access request review
Check a software entitlement request against role need, licensing, conflicts, and owner policy before approval.
access request cycle time
SaaS license reclamation
Identify reclaim candidates from approved utilization exports and prepare an owner-reviewed license action list.
unused licensed seats
Device compliance follow-up
Turn a device compliance finding into a user-safe explanation, remediation checklist, and escalation packet.
device noncompliance age
IT change request review
Check a proposed infrastructure change for scope, dependencies, validation, rollback, and scheduling readiness.
failed approved changes
IT knowledge base answer draft
Draft a support answer from current approved articles and highlight where the knowledge base does not support a claim.
first-contact resolution
Major incident communications
Convert approved incident facts into audience-specific updates while clearly separating known impact from investigation.
communication correction rate
The workflow is autonomous. The authority is not.
- 01
Attach evidence
Put only this case’s approved inputs in a scoped workspace.
- 02
Run specialists
Each bounded node produces an artifact the next node can challenge.
- 03
Stop at proposal
External writes stay outside the agent’s default authority.
- 04
Record the decision
Keep the human approval as a decision record beside the signed evidence from the agent run.
Pick one expensive, inspectable job.
Start with real evidence, a named decision owner, and a measurable result. Expand the agent only after the receipt and acceptance test prove the workflow holds.