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AI Workforce Overview

See engineers · tool access · approval rules · activity · audit.

What every engineer is allowed to do + what they've actually done.

Steps
5
Est. time
~5 min
Audience
client
Reviewed
2026-05-23

data flow

scenario architecture


   engineer registry ──tool access──▶ approval rules
                              │              │
                          activity ─────▶ audit fabric (full closed-union)
step 1/5·No approval needed

Engineer registry

List of all available engineers (Cloud, DevOps, Security, Monitoring, Incident, Database, etc.).

visionxixlabs.com/dashboard/workforce
AAxiom
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incident timeline · corr_ck98zxa9

Severity
high
Duration
2m 14s
Hypothesis
83% conf
  1. T-0Alert fired · cpu_p95 > 92% for 5m
  2. T+12sPromoted to incident · severity=high
  3. T+22sRecent deploys queried · 3 in last 30m
  4. T+34sDeploy correlation hit · sha 4a2b8c (12m ago)
  5. T+58sTrace surge identified · /orders @ 4.1s p95
  6. T+1mRoot-cause hypothesis · missing index on user_id
  7. T+2mMitigation proposed · awaiting approval
stitchedTimelines are built from real platform rows — alert ingestion, deploys, configs, traces — joined on correlationId. The hypothesis cites the specific rows it's built from, not a hand-wavy summary.

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.