EnterAIM
EnterAIM Guide

AI Readiness Assessment

AI readiness means knowing whether strategy, data, architecture, governance, people, and change capacity are in place before major investment.

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Strategic readiness

The business problem, executive ownership, decision rights, and value-realization measures should be explicit.

Data and technical readiness

Data quality and ownership, architecture, infrastructure, model evaluation, MLOps, and LLMOps should be proportionate to the use-case risk.

Governance and people readiness

Security, privacy, responsible AI, skills, and process design determine whether a pilot can become an organizational outcome.

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