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AI ROI Elusive: Experts Urge Process Redesign Over Vanity Metrics · 2 sources tracked

Many organizations are struggling to demonstrate a clear return on investment (ROI) for their generative artificial intelligence (GenAI) initiatives, with a significant majority reporting no measurable gains. This lack of ROI is often attributed not to technological limitations, but to a failure in process redesign and accountability, leading to the tracking of vanity metrics like adoption rates and task-level time savings. Experts suggest that focusing on whole-process metrics such as straight-through processing rate, end-to-end cycle time, and rework rate, alongside establishing clear baselines and ownership, is crucial for accurately measuring AI's true business impact. AI

IMPACT Highlights the critical need for organizations to shift focus from simple productivity gains to comprehensive process redesign and accountability for successful AI integration and ROI.

RANK_REASON The articles discuss the challenges and misconceptions surrounding AI ROI measurement, offering expert opinions and analysis rather than reporting on a specific event.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI ROI Elusive: Experts Urge Process Redesign Over Vanity Metrics · 2 sources tracked

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Commentary
The articles discuss the challenges and misconceptions surrounding AI ROI measurement, offering expert opinions and analysis rather than reporting on a specific event.
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2 independent sources
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product, opinion
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High
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50 days old
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COVERAGE [2]

  1. Forbes — Innovation TIER_1 English(EN) · Mark Tauschek, Forbes Councils Member ·

    Stop Blaming Math For Your AI ROI Problem

    What most organizations are missing is one person with the authority and the incentive to say what the AI's returning, and that's an organizational failure.

  2. Forbes — Innovation TIER_1 English(EN) · Alessio Alionco, Forbes Councils Member ·

    The Biggest Misconception About The ROI Of AI

    If executives judge AI only by productivity gains, they miss where the risk concentrates and where value truly compounds.