AI is outpacing traditional control environments. Without proactive governance, organizations risk fragmented visibility, inconsistent controls, and increased exposure across the enterprise.
Designed for audit, risk, finance, and data leaders, his framework helps operationalize AI governance through a structured five-step readiness assessment:
Assess current-state AI governance, risks, and controls
Score maturity using a consistent model
Calculate a weighted AI readiness score
Identify gaps across key domains like data, access, and monitoring
Prioritize improvements based on risk and impact
Upon completion, you’ll receive a readiness score, contextual interpretation, and clear guidance on how to advance to the next level so you can scale AI adoption confidently across the enterprise.
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