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AI has moved beyond experimentation. Organizations are investing in AI and embedding it into everyday operations, yet true AI maturity remains rare.

As AI moves into production, organizations need more than models and use cases. They need the trusted data, governance, context, and operational readiness required to scale AI with confidence.

The Enterprise AI Data Maturity Model helps organizations assess the data capabilities required to scale AI. It outlines how organizations progress from trusted data to trusted AI and agents, helping leaders identify their current maturity stage, recognize operational gaps, and prioritize what to build next.

This guide explores the five stages of that progression and provides a practical framework for evaluating AI readiness.