Investigation summaries
Condense alerts, logs, deploys, support tickets, and chat context into a readable incident brief.
Stitch AI
AI that helps responders understand, decide, and communicate faster.
Stitch AI turns operational context into concise investigation briefs, communication drafts, next-step recommendations, and post-incident learning.
AI response assistant
Draft
Incident brief
Payment authorization failures correlate with deploy `pay-2841`. Impact appears isolated to EU card payments. No database saturation detected.
Recommended next step
Rollback card-auth worker and monitor authorization success for 15 minutes.
Draft update
We are investigating elevated payment failures for some EU card transactions and will share the next update in 20 minutes.
AI capabilities
Useful AI for the messy middle of incident response.
Stitch AI is built around operational evidence: alerts, telemetry, deploy history, chat, support context, ownership, and runbooks.
Communication drafts
Generate status page posts, customer notices, executive summaries, and internal updates from verified facts.
Change correlation
Connect incidents to recent deployments, configuration changes, feature flags, and service ownership.
Governed automation
Keep AI recommendations reviewable, approval-based, and constrained by your escalation and runbook policies.
Where AI helps
Assist the response without taking control away from responders.
Every recommendation is designed to be visible, editable, and grounded in the context your team already trusts.
Triage
What is happening?
AI clusters related signals and separates real impact from duplicate alert noise.
Investigate
What changed?
Stitch highlights likely causes, recent deploys, owners, logs, and useful links.
Communicate
Who needs to know?
Draft updates for responders, support, executives, customers, and status pages.
Improve
What should we learn?
Post-incident notes become searchable recommendations for future incidents.
Guardrails
Built for review, approval, and operational trust.
AI is most useful when teams can see how it reached a recommendation and decide when automation should act.
- Recommendations remain editable before updates are sent.
- Automation follows runbooks, approval rules, and escalation policies.
- Post-incident learning feeds future incident context.
Human-in-the-loop by default
Stitch AI drafts, summarizes, recommends, and prepares actions. Your responders stay in control of approvals, communication, and remediation.
Review
before publishing
Approve
before automating
Learn
after resolution
Ready for AI-native reliability?
Give responders faster context without sacrificing control.
See how Stitch AI helps teams investigate, coordinate, communicate, and learn from every incident.
See Stitch AI in action