AI Root Cause Analysis
Causality correlation across your delivery pipeline
Observability tools see runtime. CI tools see delivery. Intellira is the only layer that reads both — so when a pod dies, it can tell you which commit killed it.
- 13:44:26Bitbucket — the changeCommit a1f9c2e raises the in-process cache to 2 GB. The memory limit is not touched.
- 13:51:03Jenkins — the buildBuild #4821 succeeds and pushes image 2.14.0. Nothing looks wrong yet.
- 13:58:47ArgoCD — the deployAuto-sync rolls the image out. Health flips Synced → Degraded within a minute.
- 14:02:11Kubernetes — the symptompayments-gateway OOMKilled ×7. This is where every other tool starts — and stops.
Agent run · auto-triggered by Alertmanager
AI-scanned misconfigurations across your integrations — caught before they page anyone.
Investigation memory
“Similar to checkout OOMKill (May 12) — same cache-vs-limit pattern. Your postmortem recommended limit alerts on cache-heavy services; 2 services still lack them.”
demo environment · fictional data
Built for a security review
READ-ONLY
No write scopes requested, ever. Intellira cannot scale, delete or apply — enforced at the connector layer, not by policy.
EVIDENCE CHAIN
Every conclusion cites the log line, event or commit it came from. Auditable end to end, exportable to your post-mortem.
BRING YOUR OWN MODEL
Run analysis on your own Claude, OpenAI or Gemini model — or one you host. Your data path stays under your control.
SECRET REDACTION
Tokens, keys and credentials are stripped from every model input and every rendered output.
TENANT ISOLATION
Isolation enforced at the data layer, not the UI. Per-tenant encryption keys on Business and above.
OUTBOUND-ONLY CONNECTOR
One read-only connector agent in your network, outbound connections only — no inbound firewall holes, nothing else deployed. Speaks the open Model Context Protocol, so new tools are additive.
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.