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ARTICLE · 12 DECEMBER 2025

Evaluating AI Through The Outcome Index (OI): Turning Clarity Into Measurable Impact

Alvarez & Marsal
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Despite unprecedented investments in artificial intelligence, enterprise adoption remains limited. A recent MIT study found that less than 5% of AI deployments achieve sustained usage or measurable productivity gains.

United StatesTechnology
Alberto Corvo
Alberto Corvo
Ralph Debbas
Ralph Debbas
Tania Misquitta
Tania Misquitta

Despite unprecedented investments in artificial intelligence, enterprise adoption remains limited. A recent MIT study found that less than 5% of AI deployments achieve sustained usage or measurable productivity gains. The reasons are consistent across industries: integration challenges, ambiguous ROI measurement, and user experience barriers.1

At Alvarez & Marsal, we've developed a battle-tested framework that enables enterprises to evaluate, compare, and optimize their AI initiatives in a structured, evidence-based way: the Outcome Index (OI). This approach helps organizations balance innovation with governance, ensuring that AI programs deliver real value, aligned to business priorities, risk appetite, and organizational maturity.

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