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Governance Guide

AI Maturity Benchmark for Enterprise AI Programs

Maturity benchmarking requires pillar scoring and gap prioritization. This framework defines a benchmark workflow with improvement roadmaps.

Direct answer

Maturity benchmarking requires pillar scoring and gap prioritization. This framework defines a benchmark workflow with improvement roadmaps.

Fast path

  1. Score current maturity across 8 pillars: strategy, data, technology, talent, governance, operations, risk, value.
  2. Calculate maturity gap against target stage for each pillar.
  3. Prioritize improvement actions by gap severity and business impact.

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Implementation Steps

  1. Score current maturity across 8 pillars: strategy, data, technology, talent, governance, operations, risk, value.
  2. Calculate maturity gap against target stage for each pillar.
  3. Prioritize improvement actions by gap severity and business impact.
  4. Set quarterly maturity improvement targets with owner assignment.

Related Guides

Use these adjacent playbooks to keep the same workflow connected across discovery, conversion, and execution.

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