Incident summary drafts
Ceven reconstructs the incident timeline from your alerting, monitoring, and chat tools, drafts a clear summary, and shares it once a human approves.
Why the write-up is the worst part of an incident
When an incident is over, the hardest work is often reconstructing what happened, because the story is scattered across the tools that fought the fire. The page fired in PagerDuty or Opsgenie, the signals lived in Datadog, the humans argued through it in a Slack channel, and the fix was tracked in a Jira ticket, and none of those tools hold the whole narrative. Someone has to scroll back through hundreds of messages, line up timestamps, and translate raw alerts into a sentence a non-engineer can read. This usually falls to a responder who is already tired from the incident itself, and it is easy to leave it half-done or skip it entirely. The result is that the postmortem is late, thin, or missing, and the same failure mode gets rediscovered the next time it happens.
How Ceven assembles the timeline
You describe the outcome in plain language, and Ceven builds a workflow that gathers the incident from the tools that recorded it. It reads the page and escalation history from PagerDuty or Opsgenie, pulls the relevant alerts and metrics from Datadog, walks the Slack channel to capture the human decisions, and picks up the tracking ticket from Jira. AI steps line up the timestamps, separate signal from chatter, and write a plain-language narrative that covers what broke, when, who responded, and how it was resolved. Because Ceven runs around the tools you already use, each system keeps owning its own data and Ceven simply reads across them to compose the story. What comes back is a draft summary and a proposed Statuspage note, structured the way your team writes postmortems rather than as a raw dump.
A person approves before anything is published
Nothing leaves the workflow until a human has read it. The drafted summary and any proposed customer-facing note land in front of the incident owner, who can correct the timeline, adjust the tone, add root-cause detail, and then approve, edit, or reject. Only after that approval does the workflow post the update, whether that is a Statuspage entry, a message back to the Slack channel, or a comment on the Jira ticket. This matters because incident write-ups are read by customers and leadership, and a wrong or premature detail causes real damage. Every run is written to an exportable audit trail, so there is a durable record of what was drafted, what was changed, and who signed off before it went out.
Getting started and where it fits
You can start free with no credit card and connect the alerting, monitoring, and chat tools your responders already live in. Describe how your team writes postmortems, and Ceven builds the workflow across its library of more than a thousand tools so it can read from whatever else you rely on during an incident. The same draft can feed a weekly reliability digest or a running record of escalations, so the summary you approve once is reused rather than rewritten. Ceven never becomes the system of record for your incidents; PagerDuty, Datadog, and Jira keep owning their data while Ceven runs the write-up around them. When your process changes, you adjust the workflow in plain language instead of rebuilding a brittle set of integrations.
Frequently asked
Does it post updates automatically?
No. Ceven drafts the summary and any status note and holds them at an approval gate, so nothing reaches customers or teammates until a person reviews and approves it.
Which tools does it read from?
It pulls from alerting and monitoring tools like PagerDuty, Datadog, Opsgenie, and Statuspage, plus Jira and Slack, and connects to more than a thousand tools in all.
Where does the incident data live?
It stays in the tools that recorded it. Ceven runs the workflow around them rather than becoming the system of record, and each run is written to an exportable audit trail.
Can it match how we write postmortems?
Yes. You describe your postmortem format in plain language and Ceven drafts to that structure, so the write-up reads like your team wrote it rather than a generic template.
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