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AI initiatives fail by automating broken processes, not fixing operations first

A Forbes contributor argues that many companies are failing to achieve measurable returns from AI initiatives because they are attempting to automate broken processes rather than fixing their underlying operational issues first. The author, Russ Reeder, highlights that AI amplifies existing inefficiencies, turning minor problems into major failures when not properly integrated with sound business practices. He emphasizes the need for pragmatic product management, clear communication between business stakeholders and engineers, and a focus on defining specific outcomes before automating workflows. AI

IMPACT Highlights the critical need for operational improvements before AI adoption to ensure successful implementation and avoid compounding existing business problems.

RANK_REASON Opinion piece from a Forbes contributor discussing AI implementation challenges.

Read on Forbes — Innovation →

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AI initiatives fail by automating broken processes, not fixing operations first

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Russell P. Reeder, Forbes Councils Member ·

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