Draft incident postmortems from chat history
Turn each outage into an AI incident report by pulling incident context and chat history into a structured post incident review with timelines, action items, and owners in a shared document.
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When an incident is marked resolved in [incident management tool], an AI agent reviews the incident record, pulls the related chat threads from [chat platform, e.g. Slack, Microsoft Teams], and decides which logs and messages matter for the timeline. It drafts a structured postmortem in [shared document platform, e.g. Google Docs, Confluence] covering the timeline, root cause, action items, and owners, then posts the document link in the incident channel in [chat platform] for the team to review.
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Problem
After a technical incident, engineering and DevOps teams are left piecing together what happened from scattered tickets, system logs, and chat threads. Writing a postmortem is a manual, time consuming process that produces inconsistent reports, causing follow up actions to slip through the cracks, ownership to go unassigned, and technical timelines to be poorly documented or lost entirely.
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Solution
When an incident is marked resolved in the incident management tool, an AI agent reviews the incident record, pulls the related chat threads, and decides which logs and messages matter for the timeline. It drafts a structured postmortem in a shared document covering the timeline, root cause, action items, and owners, then posts the document link in the incident channel for the team to review.
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Impact
Every outage leaves behind a dependable written record, so remediation work gets done and the same failures stop recurring.
Benefits
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Faster postmortem completion
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Consistent incident documentation
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Captured action item ownership
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Accelerated team learning
Who is this for?
Success stories
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
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