AI workflow use case
AI service desk triage for faster first response and cleaner escalation.
A service desk receives inconsistent requests across email, portal, chat, or manual notes. The AI agent helps classify, summarize, prioritize, request missing information, and route work without pretending to replace the support team.
Governed Agent Pattern
TriggerRequest, document, ticket, event
ContextApproved knowledge and systems
ReasonClassify, summarize, decide
ActDraft, route, update, notify
ApproveHuman gate where needed
AuditLogs, metrics, exceptions
Workflow story
1
Request arrives
The agent reads the ticket or email, identifies user, system, symptom, urgency indicators, and missing details.
2
Classify and enrich
It proposes category, impact, priority, related service, similar knowledge articles, and likely resolver group.
3
Draft response
It drafts a first response or information request, then routes the ticket according to approved rules.
4
Escalate exceptions
Security, VIP, outage, unclear, or high-risk cases are flagged for human review.
Controls that make it production-safe
- No autonomous closure without confidence and approval rules.
- Restricted access to approved ITSM and knowledge sources.
- Ticket updates are logged with agent/human attribution.
- Human escalation for security, outage, and ambiguous cases.
Expected outcomes
- Reduced first-response time.
- Cleaner categorization and routing.
- Less repetitive manual triage.
- Better support metrics and backlog visibility.