AI CENTER OF EXCELLENCE CHARTER

MISSION
Accelerate responsible AI adoption across the enterprise while ensuring governance, quality, and value delivery.

STRUCTURE
Executive Sponsor: CEO or CDO
– Accountable for AI strategy alignment with business goals
– Secures resources and removes blockers
– Reports to Board quarterly

AI COE Director
– Manages day-to-day COE operations
– Coordinates across three pillars
– Reports to Executive Sponsor

Three Pillars:

1. GOVERNANCE PILLAR
Lead: Chief Risk Officer or Legal Counsel
Responsibilities:
– AI ethics framework
– Risk assessment and mitigation
– Regulatory compliance
– Data privacy and security
– Vendor assessment
– Model governance

2. DELIVERY PILLAR
Lead: VP of Innovation or Transformation
Responsibilities:
– Use case identification and prioritization
– Pilot execution
– Scaling successful initiatives
– ROI measurement
– Business partnership
– Change management

3. ENABLEMENT PILLAR
Lead: Chief Data Officer or CTO
Responsibilities:
– Technology platform
– Data infrastructure
– AI tools and standards
– Training and certification
– Best practices documentation
– Technical support

OPERATING MODEL
– Weekly: Pillar team meetings
– Bi-weekly: Full COE sync
– Monthly: Steering Committee review
– Quarterly: Board updates

DECISION RIGHTS (RACI)
Use Case Selection: Delivery (R), Governance (C), Business (A), Enablement (I)
Tool Approval: Enablement (R), Governance (A), Delivery (C), Business (I)
Risk Assessment: Governance (R), Delivery (C), Sponsor (A), Enablement (I)
Budget Allocation: Sponsor (A), COE Director (R), Pillars (C), Finance (I)

SUCCESS METRICS
– Number of AI initiatives launched
– ROI from AI implementations
– User adoption rates
– Risk incidents avoided
– Time to deployment
– Employee AI literacy rate

BUDGET
– Personnel: Define FTEs needed
– Technology: Platform and tools budget
– Training: Upskilling investment
– Innovation: Experimentation fund