How do you get a postmortem drafted the moment an incident resolves?
A postmortem AI Employee that reads the incident channel the moment an incident resolves, correlates the deploys and log spikes against the timeline, and opens a structured first draft as a doc PR, then leaves the root cause and action items for the team to review, edit, and merge.
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The facts of an incident are scattered across places that don't line up on their own: the back and forth in the incident channel, the deploy history, and the log spikes. Turning them into a timeline means reading the channel top to bottom, matching each moment against what shipped and what the logs did, and inferring where the root cause sits. It's an hour of careful work at exactly the moment everyone most wants to move on, so the postmortem often gets a thin summary or nothing at all. The common workarounds are thin. A blank template gets filled in from memory, so the timeline drifts and details get rounded off. A resolved incident with no writeup means the same failure mode can recur with nothing to point back to. The information to do it properly exists; assembling it by hand is exactly the work no one wants right after an incident.
The postmortem AI Employee runs the moment an incident resolves. It reads the incident channel for the timeline, pulls the deploy history and log spikes for the same window, correlates them, and drafts a structured postmortem (timeline, root cause, impact, and action items) as a doc PR against the Codebase. The team reviews and edits the draft the way it would review any change. The AI Employee drafts; it never publishes a final postmortem on its own.
See exactly how the work gets done.
Triggers on the resolved incident
Marking an incident resolved is the trigger. Each resolution starts a fresh run seeded with that incident (one incident maps to one run), so the draft begins while the details are still fresh.
Carries the postmortem format as a skill
What a good postmortem contains and how it's structured travels with the AI Employee as a skill and memory: the section layout (timeline, root cause, impact, action items), the house style, and patterns from past incidents worth checking against. Change how postmortems are written and the next draft follows the new format.
Connects to your systems, with permissions you set
It reads the incident channel for the message timeline and who did what, reads Logs for the error rate and latency spikes over the incident window, and reads GitHub for the deploys and merges that shipped in the same window. It connects with permissions you set; credentials stay in memory, never written to disk, never exposed to the model.
Correlates, then stops at a draft
It reconstructs the sequence by lining the timeline up against the deploys and log spikes, and its one write is the doc PR. Root cause and action items are proposed, never finalized. It doesn't publish a postmortem or assign owners on its own.
Opens the draft for review
A resolved incident now produces a first draft on its own: a timeline built from the channel and lined up against the deploys and log spikes, a proposed root cause with the evidence behind it, and a list of candidate action items. The team opens the PR, corrects what the AI Employee inferred, adds the context only it has, and merges the version it stands behind.
Runs in your environment
Every incident runs in your own infrastructure. The AI Employee reads the timeline and correlates the deploys and logs, and your data never leaves it. Only the drafted doc PR does.
Read only on your systems
Its access to the incident channel, the Logs, and GitHub is read only. Its single write is the doc PR it opens; it changes nothing else.
PR gated
The postmortem lands as a doc PR, not a published document. A named human reviews the timeline, edits the root cause and action items, and owns the merge.
Credentials stay protected
The channel, Logs, and GitHub credentials connect with permissions you set; they stay in memory, never written to disk, never exposed to the model.
You own every rule
The postmortem format, the correlation logic, and the per system permissions are yours, versioned and changed on your terms, not in a vendor dashboard.
Resolved incidents now come with a drafted postmortem waiting as a doc PR, its timeline already correlated against the deploys and log spikes. The team spends its time judging the root cause and deciding the action items rather than reconstructing what happened, and fewer incidents close with no writeup at all.
Every incident
A first draft opens the moment it resolves
PR gated
The AI Employee drafts; the team reviews and finalizes
3 systems
Incident channel, Logs, and GitHub correlated in one run
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
How do AI Employees keep your docs in sync with the code?
Sweeps the code merged each day, rewrites the docs those changes touched, and opens one reviewable pull request. Publishing waits for a human merge.
×How do AI Employees test every pull request before a human reviews it?
Checks out every pull request, runs the suite, exercises the change through the edge on a test deploy, and posts the result. It stays off production, leaving the merge to a person.
×How do you ship release notes without writing them from scratch?
On each release, reads the merged PRs since the last one, groups them by area, writes plain language notes, and opens a changelog PR. It never publishes, tags, or announces; a named human reviews and merges.
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