Start with evidence, not a guess
The agent queries only the monitoring, ITSM and operational tools your team has connected. Its root-cause analysis cites the evidence it used and separates facts from hypotheses.
FixCaptain investigates incidents against your real operational systems, explains what happened with cited evidence, and proposes a safe next action. You decide when the system can act—and it proves the result before it calls an incident resolved.
Start safely: observe first, require approval by default, expand autonomy only when ready.
Incident workflow
Payment API latency spike
Evidence collected
Metrics and logs from the enabled monitoring connection
Root-cause analysis
Claims are labeled as fact, inference, or hypothesis—and cite their evidence.
Proposed action
APPROVALA single action waits for the policy and approval your team configured.
FixCaptain is designed for production operations, where a plausible answer is not enough and an unreviewed change can make an incident worse.
The agent queries only the monitoring, ITSM and operational tools your team has connected. Its root-cause analysis cites the evidence it used and separates facts from hypotheses.
Every possible change is matched to a policy you set. Begin in observe-only mode, require approval for each action, or explicitly allow a low-risk action to run on its own.
A successful API response is not treated as a resolved incident. FixCaptain verifies the expected state in the connected system before it closes the loop.
Bring incidents in from the tools you use. Give the agent only the approved capabilities it needs. Keep a clear, auditable record of what it found, proposed, and changed.
A Datadog alert, Jira issue, ServiceNow ticket, or webhook opens an incident.
The agent gathers permitted telemetry and records each useful result as evidence.
It produces a cited RCA and proposes at most one appropriate remediation.
Policy or a human authorizes the action, then FixCaptain checks the live outcome.