AI Root Cause Analysis
Find the change that caused the incident
Intellira correlates your delivery and runtime signals into one timeline and ranks the most likely root cause — backed by an auditable evidence chain, not a guess.
Causality, not correlation
Walks the chain from the failing pod back to the ArgoCD sync, the Jenkins build and the Bitbucket commit that introduced the change.
Evidence on every claim
Each finding cites the log line, event or diff it rests on — the same structure your post-mortem needs.
Confidence you can audit
Ranked candidates with a confidence signal and the reasoning, so you can trust it or challenge it.
Read-only by design
Intellira never scales, deletes or applies. It reads your stack and explains it; you decide what to do.
How it works
- 1
Ingest
Pull commits, builds, sync state, pod events and metrics over read-only MCP.
- 2
Correlate
Link the deploy to the build to the commit to the failing workload.
- 3
Rank
Score candidate causes against the evidence and surface the most likely one.
- 4
Recommend
Output a specific fix — the file, the line, the revert.
Common questions
How is this different from observability dashboards?
Does it modify anything?
See Root Cause Analysis on your stack
Connect read-only and get an evidence-backed root cause on your next incident.