Strategy & Adoption
AI CoE Roles and Responsibilities: Who Does What
This interactive worksheet helps enterprise AI teams define clear roles and responsibilities within their AI Center of Excellence (CoE). Use structured RACI templates to assign accountability, responsibility, consultation, and information channels across typical CoE functions.
Effective AI Center of Excellence (CoE) operation requires clarity on who handles critical roles in AI strategy, architecture, development, and governance. This interactive worksheet facilitates that by combining detailed role definitions with a standard RACI framework.
Defining who is Responsible, Accountable, Consulted, and Informed (RACI) for key AI CoE activities reduces overlap, gaps, and delays. The templates cover core CoE roles including AI leadership, data science teams, MLOps, ethics review, and business integration.
Inputs
Enter comma-separated roles in your AI CoE, e.g., AI Strategy Lead, Data Scientist, MLOps Engineer, Ethics Officer, Business Analyst.
Choose the AI CoE activities to assign responsibilities. Multiple selections allowed.
Enter any external or cross-functional stakeholders relevant to your AI CoE roles, e.g., Legal, IT Security, Product Management.
Result
Generate RACI matrix table from role assignments and activities selected. Highlight any activities missing an Accountable or Responsible role.AI CoE Role Clarity Assessment
Some activities lack clear accountabilities or multiple roles overlap as Responsible. Consider refining assignments to reduce confusion.
Best practice
Gartner recommends that AI CoEs explicitly assign a single Accountable individual per key activity to ensure decision ownership and timely escalation.
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