AI across the complete
incident lifecycle.
Briefs, Slack /inc ask help, postmortems, transcripts, and agent workflows connected to the same incident timeline your team already uses.
Where AI fits in Runframe
Not a separate chatbot. AI works from incident context, timeline events, transcripts, Slack questions, and platform data.
Incident briefs
Generate editable summaries from incident context so responders and stakeholders can catch up without reading every event.
Postmortem drafts
Start from the real incident timeline, status changes, linked work, and notes instead of a blank document.
Incident call transcripts
Use Zoom and Google Meet transcript context for briefs and postmortems without exposing raw call noise.
AI agents and MCP
Ask Runframe AI inside Slack with /inc ask, or let external agents inspect on-call state, create incidents, page responders, and draft follow-up work.
How teams use it
The same source of truth powers live response, post-incident learning, and agent workflows.
Summarize what is happening
Generate an incident brief from status, severity, assignments, timeline updates, and transcript context.
Turn response into learning
Use the final timeline and linked context to draft the postmortem while the details are still fresh.
Ask questions without leaving Slack
Use /inc ask in Slack to ask what changed, who is on call, what is blocking resolution, or what summary should go to stakeholders.
Expose incident context to agents
Use MCP and API-backed access so approved agents can act on Runframe context without scraping chat.
Frequently asked questions
Give AI the incident context it needs.
Use Runframe's incident record as the source for Slack /inc ask answers, briefs, postmortems, and agent workflows.