Engagement Process
AI Workforce Engagement Process
A staged, decision-driven path with explicit go or no-go points.
- Assessment before any deployment
- Evidence-based expansion
- No forced progression
- Aligned to procurement review cycles
Process Characteristics
- Staged, decision-driven progression
- Responsibility expands only with evidence
- Clear exit criteria per stage
Process Summary
Staged, decision-driven engagement.
- Assessment before deployment
- Evidence-based expansion
- No forced progression
- Aligned to procurement review
Process Evidence Pack
Stage outputs.
- Assessment report
- Pilot evidence summary
- Governance boundary updates
- Production readiness decision
Stage 1
Deployment Assessment
- Evaluate operational domains and workflow suitability
- Analyze responsibility, authority, and escalation structures
- Identify legal, regulatory, and jurisdictional constraints
- Define technical and organizational boundaries
Decision Output: written assessment with proceed, defer, or redesign recommendation.
Stage 2
Controlled Pilot Deployment
- Deploy within a narrowly defined operational domain
- Operate under explicit permission and escalation rules
- Validate execution logs, traceability, and auditability
- Observe organizational impact and risk exposure
Decision Output: evidence supporting expansion, modification, or termination.
Stage 3
Production Deployment
- Ongoing operation across approved domains
- Continuous governance, audit, and system support
- Defined responsibility and escalation obligations
- Enterprise SLA and evidence delivery cadence
Decision Output: department-level operational capability.
No Forced Progression
- Each stage is self-contained
- Proceeding is always an explicit decision
Procurement Alignment
- Matches legal, security, and risk review cycles
- Delivers decision-ready evidence per stage
Start with a Deployment Assessment
Establish feasibility before deployment.