AI workflow use case
AI knowledge agent that answers from approved documents instead of guesswork.
Teams waste time searching policies, runbooks, project notes, contracts, or technical records. The AI agent retrieves approved sources, summarizes answers, and shows where the answer came from.
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
User asks a question
The agent receives a business or technical question and determines which approved knowledge set is relevant.
2
Retrieve evidence
It searches documents, runbooks, policies, tickets, or project records through approved connectors.
3
Answer with sources
It drafts a concise answer with source references, uncertainty, and suggested next action.
4
Capture gaps
Missing or conflicting knowledge is logged as a documentation improvement item.
Controls that make it production-safe
- Approved content repositories only.
- Source traceability required for operational answers.
- No confidential repository access without role permission.
- Low-confidence answers must say what is missing.
Expected outcomes
- Reduced search time.
- Better use of existing documentation.
- Improved onboarding and handover.
- Visible documentation gaps.