A Framework for Managing a Company Wide AI Program

Executive Summary

This framework provides executives, VPs, AI practitioners, and stakeholders with a comprehensive approach to managing corporate AI programs. The visual framework integrates three key layers: stakeholders (C-suite, VPs, department heads, customers, partners), AI leadership (Head of AI, research, ethics, risk management, compliance), and the AI portfolio spanning from use case exploration to company-wide rollouts.

The document emphasizes the critical need for structured AI program management due to the unprecedented pace of AI evolution and its transformative potential. Drawing parallels to the internet's disruptive impact, it argues that companies must establish AI leadership and frameworks now to avoid obsolescence.

The four-phase portfolio approach ensures systematic risk mitigation while maximizing learning opportunities. Each phase builds upon the previous one, from initial use case validation through pilot testing to limited deployments and finally enterprise rollouts, with clear decision points and success criteria throughout the process.