Six phases.
Each phase has a defined deliverable. Skipping or compressing them past the point in the roadmap below is the most common cause of failed enterprise AI deployments.
Phase 5 — Deployment (weeks 6–12)
Successful AI deployment follows a crawl-walk-run sequence. Speed without governance creates incidents — not momentum.
1 to 2 departments, limited scope
Select departments with clear, low-risk use cases and motivated champions. Every pilot user must complete training and sign policy acknowledgment before receiving access. Owner: Department leads + IT. Deliverable: pilot cohort onboarded.
Weekly pulse check with pilot users
Track time saved, output quality, policy questions, and unexpected edge cases. Committee adjusts policy before broader rollout. Owner: Committee + dept leads. Deliverable: pilot evaluation report.
Full training before access is granted
All-employee training completed before access is granted. IT deploys access tiers and activates monitoring and audit logging. Helpdesk prepared to support questions from day one. Owner: HR + IT. Deliverable: 100% of employees trained and acknowledged.
Required contractual protections for every AI vendor
Data isolation · Zero training on your inputs · Breach notification within 72 hours · Right to audit · Data deletion on termination · Defined data residency.
Phase 6 — Continuous governance
AI governance is not a one-time project. The technology changes every quarter. Your policy must evolve with it.
Technical safeguards — always on
- Enterprise AI tools with contractual data isolation
- Audit logging on all AI sessions
- SSO and identity management for all AI tool access
- DLP tools configured to detect sensitive data patterns
Policy refresh cycle
- Annual full policy review at minimum
- Quarterly Committee review of new AI capabilities
- Immediate review triggered by major vendor policy change
- Immediate review triggered by any internal AI incident
Ongoing training
- Semi-annual refresher for all employees
- Advanced training for Tier 2/3 access holders
- AI policy module built into new-hire onboarding
Monitoring & metrics
- Quarterly: tool utilization
- Quarterly: policy acknowledgment rates
- Quarterly: incident reports
- Quarterly: time-to-value estimates
The most important protection — culture, not just policy
The most effective governance programs build a culture where employees feel safe asking questions and reporting issues — rather than quietly misusing tools. The AI Committee's most important function is being approachable, not punitive.
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