Solution · AI Operations
AI agent incident management: the function that responds when something breaks in production — triage, on-call, rollback and postmortem — not when the customer complains
Monitoring detects that something is wrong; someone has to respond. Without an incident-management function, every agent failure in production is an improvised scramble: nobody knows who responds, what severity it is, whether to roll back or ride it out, or why it happened again the next week. This isn't putting out a fire one night; it's the function that runs — severities, on-call, runbooks, rollback, root cause and corrective actions — so an AI incident gets resolved fast and doesn't repeat.
The problem
When an agent fails in production, nobody knows who responds, at what priority, or how it gets closed so it won't come back
- The incident gets handled by whoever was watching, by hand and from memory: no severities, no on-call, no runbook, so the same failure gets a different response depending on who catches it.
- The decision to roll back or ride it out gets made in the heat of the moment with no criteria: sometimes a broken agent gives bad answers for hours, sometimes all of production gets torn down over a minor fault.
- There's no root cause and no postmortem: you put out the fire, catch your breath and move on — until the same incident comes back next week because nobody closed the corrective action.
- The cost of the incident is invisible until it's huge: bad answers to customers, an agent loop that runs up the bill, or a wrong action on a real system, with nobody measuring how long it takes to detect and to resolve.
Cost of staying the same
An agent in production with no incident management isn't one that doesn't fail — it's one where, when it fails, the damage runs free while someone improvises the response. The difference between a ten-minute incident and a two-day one isn't luck: it's having or not having the function that responds. And an incident that isn't closed with a root cause isn't one incident, it's all the ones coming: what you don't learn, you repeat, and every repeat is the same bill again — in customer trust, in cost and in the team's time putting out the same fire.
The solution
An incident-response function for your agents: severities, on-call, runbook, rollback and postmortem — built and running
- 1We define severities and classification: what counts as a critical incident (an agent acting wrongly on a real system or running up the cost) versus a minor one, so the response is proportional and doesn't depend on who catches it.
- 2We set up the on-call and escalation: who responds, in what order and with which runbook per incident type — including the safe rollback of the agent, prompt or model to the last good version — with the context already gathered from monitoring.
- 3We close every incident with a root cause and postmortem: what happened, why, which corrective action stops it coming back, and who owns it. The action is tracked until it's done, not until it's forgotten.
- 4We leave it with a dashboard: time to detect, time to resolve (MTTR), incidents by severity and % recurrence. A function that runs, not an on-call hero burning out.
What changes
What you stop losing
The incident gets resolved by process, not by whoever was watching: severity, runbook and on-call give the same failure the same fast response every time.
Mechanism
The failure stops repeating because every incident is closed with a root cause and a corrective action with an owner and follow-up, not a "done, moving on."
Mechanism
What we measure: time to detect, time to resolve (MTTR), incidents by severity and % of recurring incidents.
What we measure
Spec sheet
- Work it removes
- responding to agent failures in production ad hoc, with no severity, no runbook and no root cause closed out
- Typical setup
- 2–4 weeks
- Input
- an alert from monitoring or an agent failure in production
- Output
- incident triaged, handled by runbook (with rollback if needed) and closed with a root cause and a corrective action with an owner
- Works with
- PagerDutyOpsgenieJira
- Can connect to
- Your agents and their production recordsYour AI monitoring / observabilityYour incident manager or ticketingYour alerting channel and your on-call
- What we measure
- time to detect an incidenttime to resolve (MTTR)incidents by severity% of recurring incidents
- Good fit for
- companies with AI agents in production that already monitor but respond to incidents ad hoc, with no severities, on-call or postmortem
- Not a fit for
- the live detection of the problem (that's monitoring, upstream) and the business decision of what the agent does, which stays with your team
Frequently asked questions
They're complementary and consecutive, not the same. Monitoring is upstream: it watches latency, cost, failures and drift live, and fires the alert when something drifts. Incident management is what happens after that alert: who responds, at what severity, which runbook is followed, whether a rollback happens and how it's closed with a root cause so it won't come back. Monitoring without incident management is alarms nobody knows how to answer; incident management without monitoring is responding blind. They're built together, which is why both point to the AI Operations umbrella.
Keeping an eye on it isn't a function; it's a person burning out and a process that breaks the day they're on holiday. A real incident function gives what goodwill can't: severities so the response is proportional, on-call so there's always someone to respond, runbooks so the failure gets resolved the same no matter who catches it, and postmortems so it's learned from. The difference between a ten-minute incident and a two-day one isn't attention; it's having the process built before it happens.
It runs. We don't hand you an "incident policy" PDF and leave: we set up the severities, on-call and escalation in your incident manager, the response runbooks and the safe rollback wired to your agents, and the postmortem cycle with corrective actions tracked to close. And we leave it with a dashboard — MTTR, incidents by severity, recurrence — so you see the function operating, not existing in a document. A function with an owner, not a manual in a drawer.
Want it running in your business?
You’ve pinned the problem. We ship the fix and leave it measured.