Move incident response agents from pilot to production
Bring a priority incident-response workflow and leave with a plan for deploying agents across your systems, runbooks and production controls.
You leave with
FacilitatorBalaji Nagaraj Kumar · VP, AI Engineering, moringGet started
Tell us the workflow and the constraint. We reply within one business day.
Three to five people from the teams the workflow touches.
Operations, security and platform engineering. One session, everyone in the room at the same time, and a willingness to talk about how the response really runs, including the parts that go wrong.
Five AI Ops agents to explore
Alert triage agent
Correlates signals across tools and identifies the affected service, its owner and the priority before the incident reaches the responder.
Root cause agent
Pulls logs, metrics, traces, recent changes and prior incidents into one timeline so the responder starts with a hypothesis.
Runbook agent
Selects the approved runbook for the incident, checks its prerequisites and gives the engineer a ready-to-use sequence of steps.
Remediation agent
Runs approved actions after authorization, verifies the result and rolls back if needed.
Post-incident agent
Reconstructs the timeline, decisions and approvals behind an incident so the review begins with a complete incident record.
Six working sessions, one workflow.
Outcome and ownership
What problem, which service, who is accountable, what it costs you today, and what better looks like.
How it runs now
The signal, the evidence, the systems, the triage, the approvals and the rollback.
Agent and human split
What the agent does, what an engineer approves, and what stops it.
Controls for production
Identity, access, approvals, monitoring, cost limits, rollback and a kill switch.
Testing and measurement
The incidents you would test it on, what happens when an action fails, and the baseline you judge it against.
First scope
The smallest version worth proving, what counts as success, and what happens after.