Wave 20 · Workforce, Internal Comms, And Growth Ops Employee AI policy proof Synthetic policy + packet exports

Employee AI policy that stays rollout-safe.

This control plane turns employee AI policy and review data into one buyer-readable surface: missing acceptable-use evidence, training-readiness drift, exception blockers, and the exact packet sequence needed before a workforce AI policy or elevated-access exception program goes broad.

Overview Policy Lane Exception Gaps Rollout Posture Verification Docs

Commercial Front Door

Employee AI policy evidence for security, HR technology, enablement, and governance teams.
Audit-safe visibility into missing acceptable-use proof, stale approvals, training gaps, and exception posture without exposing live employee records.

Proof Layer

Offline analyzer + CLI + dashboard surface.
This repo reads policy and review snapshots and turns them into lane, gap, and rollout packets operators can actually use.

Why it matters

Recruiters looking for AI governance / acceptable use / security awareness / employee enablement / exception operations should see real operator work: policy evidence, training posture, approval debt, and owner-safe escalation.

Docs

routes · cli · api

routes

Public control surface

/, /policy-lane, /exception-gaps, /rollout-posture, /verification, /docs

api

Structured payloads

/api/dashboard/summary, /api/policy-lane, /api/exception-gaps, /api/rollout-posture, /api/verification, /api/sample

cli

Offline policy analysis

npx employee-ai-policy-board fixtures/employee-ai-acceptable-use-clean.json --format summary renders the same rollout posture the dashboard exposes.