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The AI Adoption Gap Diagnostic

Four questions that determine whether your AI investments are changing decisions.

Most organizations asking why the business isn't using AI are asking the wrong question. The right question is which structural gap is blocking adoption, and whether your organization has the measurement depth to identify it.

IIA's AI Adoption Gap Diagnostic gives data and analytics leaders a scored self-assessment across the four structural gaps that most commonly derail enterprise AI adoption: supply-side readiness, demand-side behavioral readiness, operating model accountability, and maturity sequencing. Each fails independently. Treating them as interchangeable is where AI programs accumulate debt rather than value.

Four sections. A scored profile that tells you which pillar is your primary constraint, and where to direct attention first.