Establishing an AI Center of Excellence (CoE)

Chief AI Officer (CAIO): Strategy, Roadmap & KPIs

Sharing some observations from a recent engagement establishing an AI Center-of-Excellence (CoE) for a large Fortune 500 Enterprise.

The goal was to setup an AI CoE that would drive AI thought leadership and an AI first mindset across the enterprise.

Building Blocks

Given this, we started with an AI CoE mandate to set the AI strategy and roadmap for the enterprise, maturing the CoE services and offerings across its core building blocks:

Fig: Building blocks on an AI CoE

1. Innovation: Establish strong AI foundation with a culture of AI innovation and thought leadership.

2. Talent: Acquire and retain top AI talent. Foster collaboration with key business stakeholders and global teams on AI use-cases and applications.

3. Governance: Develop AI strategy aligned with organizational goals, integrating Responsible AI principles into the AI lifecycle to manage risk.

4. Data as an Asset: Improve enterprise data quality and focus on unstructured data to maximize the potential of AI.

5. Enablement: Drive AI-first mindset by AI literacy, trainings, knowledge-sharing and change management.

AI CoE Maturity