AI Workforce Overview
See engineers · tool access · approval rules · activity · audit.
What every engineer is allowed to do + what they've actually done.
data flow
scenario architecture
engineer registry ──tool access──▶ approval rules
│ │
activity ─────▶ audit fabric (full closed-union)Engineer registry
List of all available engineers (Cloud, DevOps, Security, Monitoring, Incident, Database, etc.).
incident timeline · corr_ck98zxa9
- T-0Alert fired · cpu_p95 > 92% for 5m
- T+12sPromoted to incident · severity=high
- T+22sRecent deploys queried · 3 in last 30m
- T+34sDeploy correlation hit · sha 4a2b8c (12m ago)
- T+58sTrace surge identified · /orders @ 4.1s p95
- T+1mRoot-cause hypothesis · missing index on user_id
- T+2mMitigation proposed · awaiting approval
Timelines are stitched, not narrated
The incident timeline is built from real platform events — deploys, audit rows, config changes, alert ingestions — joined on correlationId. The AI proposes a root cause hypothesis with citations to the underlying rows.
expected result
Per-engineer status + scope.
engineering principle
The five panels (registry, tool access, approval rules, activity, audit) ALL read from the same canonical state. There's no separate 'agent dashboard' or hidden ops view — what you see here is what compliance auditors see in the audit logs.