Evidence and hypothesis stay separate
Possible causes are labelled as analysis until current evidence supports them.
AI agent use case
Incident investigation
Assemble signals, changes, ownership, and response evidence around an operational incident.
Business challenge
Operational incidents unfold across telemetry, deployments, configuration, tickets, runbooks, conversations, and owner knowledge. Teams lose time rebuilding the same timeline while the evidence and working state continue to change.
Workflow blueprint
From a valid trigger to accepted work.
Capability: Find, analyze, coordinate, and govern. Trigger: An alert or reported service condition meets the defined threshold for incident investigation. Control boundary: Human authority for production changes.
- 01
Confirm the incident state
Validate affected services, severity, customer impact, current owners, response policy, and the active communication channel.
- 02
Assemble the timeline
Connect alerts, changes, deployments, tickets, prior incidents, and operator actions with source and timestamp intact.
- 03
Frame evidence-backed hypotheses
Separate observed facts from possible causes and identify the next approved diagnostic actions.
- 04
Coordinate the response
Route tasks, approvals, status updates, and unresolved decisions to the correct technical and business owners.
- 05
Preserve the investigation record
Return the timeline, evidence, decisions, actions, current state, and follow-up work for review and learning.
Context & systems
The agent needs more than a prompt.
Context is matched to the task and decision, with source authority, recency, identity, and workflow purpose visible.
- 01
Current alerts, telemetry, and service health
- 02
Recent deployments, configuration, and infrastructure changes
- 03
Incident history, runbooks, and service ownership
- 04
Customer impact and communication obligations
- 05
Production authority and escalation policy
Control points
Autonomy expands inside proven boundaries.
Each boundary describes where policy can continue the work and where accountable authority must remain visible.
Production authority is preserved
Diagnostics and changes follow service-specific permissions, approvals, and rollback policy.
Communication follows severity policy
Internal and external updates use the approved owners, cadence, and disclosure boundaries.
Success measures
Measure whether the work was accepted.
Targets are established against the customer's baseline. These are measurement categories, not performance claims.
- 01
Time to a current investigation brief
- 02
Completeness of the incident timeline
- 03
Accepted diagnostic and response actions
- 04
Rework caused by missing or contradictory evidence
Evaluate the operating reality
Assess this use case in your environment.
Define the outcome, context, systems, authority, exceptions, and production measures with Coryntas.