AI Incident Triage Acceleration
Reduced MTTR via automated enrichment & intelligent routing.
- INDUSTRY
- SaaS
- SERVICES
- AI Governance · Observability · Platform Engineering
- PUBLISHED
- August 20, 2025
- HEADLINE
- 38% · MTTR Reduction
- STATUS
- Outcomes verified · client signed
What changed, by the numbers.
Each metric below has an attributed measurement window and a documented baseline. No vanity statistics. No projections.
94 → 58 minutes median over rolling 30 days
Ownership accuracy uplift through enriched context packet
Lower cognitive load & faster classification
Portion of incidents resolved using standardized snippets
Where things started.
Mean Time To Recovery (MTTR) averaged 94 minutes with inconsistent incident enrichment and manual routing decisions.
What we did, in order.
Constrained set of changes, sequenced for early observability and minimal risk to baseline operations.
- 01
Implemented retrieval-augmented enrichment (topology, ownership, recent deploy context)
- 02
Added severity prediction & probabilistic service impact tagging
- 03
Introduced incident command prompt templates & resolution snippet catalog
- 04
Established weekly drift & false positive triage review
What we'd carry forward.
Patterns that compound across engagements. Documented here so the next program does not relearn them.
- LESSON 01
Context packet consistency more valuable than marginal model quality gains
- LESSON 02
Human override logging critical for prompt iteration feedback
- LESSON 03
Early false positive pruning avoids stakeholder fatigue