org.run runs the on-call work your engineers dread
It opens the incident, finds the deploy that caused it, prepares the rollback or the fix with tests, and writes the postmortem. Every production deploy and rollback waits for an engineer's approval.
peak error rate
12.1%
checkouts affected
1,240
time to recover
4 min
Rollback ready. Your call.
Revert payments-service to the 13:40 build. Held at 14:11
See it run
From alert to recovered, with a human on every deploy
▍
Opened the incident → traced it to the deploy → your call → rolled back and recovered → postmortem drafted. Minutes, not a war room.
Plugs into the stack you have
Two-way connections. It reads from your tools and does the work back in them.
Where you work
Give it work from Slack, the app or email
No new place to check. Ask, approve and review from the tools you already have open.
Slack and Teams
Message it like a teammate. Approvals arrive in the thread with the context attached, and one reply moves the work on.
The org.run app
See every job in flight, what it did, what is waiting on you, and the rules it has learned about how you work.
Forward a thread to org.run and it picks up the work from there.
Minutes, not a war room
Without org.run
- An alert fires at night and the on-call engineer starts from a blank screen.
- Finding the bad deploy means digging through logs and recent merges by hand.
- The postmortem gets written a week later, if at all.
With org.run
- The incident is opened, the channel is up and the status page has a note within a minute.
- The likely cause is matched to the deploy, with the rollback ready to approve.
- The postmortem is drafted from the timeline, with follow-ups already opened.
Off your plate
The engineering work it takes over
The interrupts that pull your team off the roadmap.
- Open incidents and page the on-call engineer
- Correlate alerts with recent deploys
- Prepare rollbacks for approval
- Reproduce customer bugs and find the cause
- Write fixes with tests and open pull requests
- Keep the status page current
- Draft postmortems from the timeline
- Turn customer reports into clear tickets
Questions, answered
No. Production deploys, rollbacks and anything that deletes data stop for an engineer to approve. It prepares the change, the tests and the reasoning, then waits.
Yes. It opens pull requests in your repos, runs your test suite and ships through the pipeline you already have. It does not need a separate path to production.
Yes. It can open the change in the backend and the matching change in the app, add tests to both, and link them as one release for you to review.
It reads your on-call schedule and your service ownership. When ownership is unclear, it asks once and remembers for next time.
Across the company
The same operator runs the rest
Every function runs on the same system, so a churn risk in success can become a fix in engineering and a credit in finance.
People and onboarding
Gets every new hire set up across every tool before their first day.
See how it worksOperations and procurement
Runs sourcing and supply problems end to end, and stops before any spend.
See how it worksCompliance
Reads new rules, maps the gaps against how you work, and drafts every fix.
See how it worksFinance and reporting
Closes the reporting loop every week, from raw numbers to a finished pack.
See how it worksSales
Turns every call into the next step, while the prospect is still warm.
See how it worksCustomer success
Spots the accounts going quiet and gets the save in motion before renewal.
See how it worksEarly access
Let org.run run your engineering
org.run is in early access. Tell us where the work piles up and we will start there.
Scoped, auditable and reversible from day one. Your data stays yours.
