Situation
A tier-one financial services operator ran autonomous reconciliation agents across overnight batches. The workflows were business-critical: missed runs meant reporting gaps regulators would notice.
What was at stake
Upstream package pins drifted without anyone watching. Failures were silent. Logs looked green until finance opened incomplete ledgers at 07:00. Internal audit had no narrative for who changed what, or when restore was justified.
What Threesixty did
Structured AI Health Audit mapped drift vectors, dependency rot, and blast radius before production changes.
Deployed golden-image baselines with automated snapshot cadence and skill-based health reporting per agent.
Implemented governed recovery runbook: SecOps sign-off gate before restore, operator actions anchored in Command Center audit log.
Assigned follow-the-sun coverage with watchdog detection and human takeover for covered workloads.
Technical approach
Hybrid runtime on customer VPC: Tailscale hub-and-spoke ACLs, gateway on :8000 routing to reconciliation agents, multi-agent backups with restore orchestration via Command Center. ClawGuard policies block privileged package installs outside approved windows. Netdata alerts feed operator escalation; post-incident summaries export for internal audit.
Results
- Mean-time-to-recovery dropped from multi-hour fire drills to under fifteen minutes for covered agents.
- Ninety consecutive days with zero customer-visible critical incidents on reconciled workflows.
- Second-line audit received operator narratives tied to immutable action history, not Slack threads.
- Leadership gained a single continuity owner instead of ad-hoc pager roulette between DevOps and the business.