DevOps
DevOps with AI in the loop
Investigate, remediate, and document — without losing the human override that production requires.
Problems
- Alert → SSH → log maze
- Duplicate runbooks that drift
- Rollback panic without evidence
- Tool sprawl across hosts
Solutions
- Chat pinned to the failing server
- RCA with confidence and recommended fix
- Workflow remediations for known signatures
- Telemetry and inventory in the server control plane
ROI
- Lower MTTR for common failure classes
- Fewer context switches mid-incident
- Shared investigation memory
Example workflows
Deploy failure
- 01 Failure signal
- 02 AI investigation
- 03 Confidence
- 04 Approve fix
- 05 Verify
Runtime health
- 01 Metrics sample
- 02 Inventory probe
- 03 Chat diagnosis
- 04 Remediate