Run incident response with AI agents
Moring engineers build and deploy agents for incident triage, investigation and approved remediation. The AI Control Plane governs every run.
Deploy rca-triage-agent
Agents for the work behind incident response
Incident triage agent
Groups related signals, identifies the affected service and prepares the incident for the correct owner.
Root-cause evidence agent
Brings together logs, metrics, traces, recent changes, dependencies and similar incidents.
Runbook recommendation agent
Finds the approved response for the current service, environment and level of risk.
Remediation agent
Carries out an approved action and verifies whether the expected state was restored.
Incident record agent
Captures the timeline, evidence, decisions, actions and follow-up while the incident is active.
You bring the workflow. Moring engineers deploy each agent, and the AI Control Plane governs every run
The agent gathers evidence and proposes the next step.
The agent pauses until an authorized operator approves the action.
The agent performs a narrow, approved action and verifies the result.
The agent stops when the context, risk or expected state falls outside policy.
Restarting a development service is not governed like changing a production database. Authority can vary by environment, service criticality, incident severity and action.
Connect, test and deploy
- Connect the required operations systems
- Define the investigation and action path
- Add approval, verification and rollback points
- Evaluate the agent against representative incidents
Governs every run
- Controls agent identity and access
- Applies action and approval policies
- Records evidence, decisions and actions
- Enforces verification, rollback and stop controls
The agents work across the operations systems already in place. Those systems remain the sources and systems of record.
Capabilities
Access
Recent traces
Illustrative access policy
Move incident workflows from pilot to production
Book an AI Ops workshopObservability for agents that act, not just agents that answer
An APM dashboard tells you a service is slow. It does not tell you which agent restarted what, under whose authority, or whether the check that should have stopped it actually ran.
What to record
Who triggered the run, the agent's own identity, the model and prompt version, every tool call with its result, the policy version in force, any approval, and the outcome. If it cannot be rebuilt months later without the engineer who built it, the record is incomplete.
What to correlate
One session identifier that ties the alert to the agent's investigation, its proposed fix, the approver and the verification. Blended latency across agent types tells nobody anything; report per agent and per action.
What to check
Guardrail verdicts of passed, flagged or blocked on every call. Stop conditions that hold when a required control is unavailable. A pause that a person has to clear, not one the agent can reason its way past.
Guides for governed AI Ops and incident response agents
Who owns an ops agent, how far its authority reaches, and what evidence it leaves behind after a remediation.
Agentic AIOps: Who Governs the Ops Agents Now Acting on Their Own
When an ops agent restarts a service or opens a change, ownership and authority have to be decided before the run.
Read the governance guide →Graduated Authority for AIOps Agents
How to widen an ops agent's permitted actions as its track record earns it, without a flag day.
Read the authority model →Remediation Agent Stop Conditions
Step budgets, blast-radius limits and the rollback points that stop a remediation agent making an incident worse.
Read stop conditions →AI Agents for Incident Updates
Keeping status pages, stakeholders and audit records aligned while an incident is still moving.
Read incident guide →AI Agent Observability: Metrics, Traces and Guardrails That Matter
What to trace for an agent that acts, not just answers — prompts, tool calls, policy decisions and evidence.
Read the observability guide →Enterprise AI Agent Governance Framework
Identity scoping, runtime policy, approval gates and run records for production agents.
Explore AI Governance Hub →Frequently asked questions
AI Ops agents support operational workflows such as incident triage, investigation, runbook selection, remediation and incident reporting.
No. Moring connects the approved tools required for the workflow. Existing platforms remain the sources and systems of record.
Moring engineers work with the incident, platform and operations teams that own the workflow. They connect the required systems, test the agents against representative incidents and deploy them with the controls required for production.
The agent can complete actions covered by its assigned permissions and approved policy. Other actions pause for an authorized person.
The agent verifies the expected state after every action. If verification fails, it follows the approved rollback or escalation path and records what happened.
It means being able to reconstruct a single run from the record: which alert triggered it, who or what asked for it, the agent identity and permissions used, each tool call and its result, the policy version in force, any approval, and the verified outcome. Metrics on latency and success rate are useful, but for an agent that changes production systems the per-action record is the part that answers an incident review.