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AI business cases need 'stop doing' lists for true productivity

By PulseAugur Editorial · [1 sources] ·

Many AI business cases fail to account for the work that will be retired once AI systems are implemented. A "stop doing list" is crucial for identifying which meetings, reports, or processes can be eliminated to realize true productivity gains. Without this discipline, companies risk funding both old and new systems, leading to parallel processing rather than genuine cost reduction or efficiency improvements. Ultimately, AI adoption should be viewed as a management decision to retire processes, not just a technological investment. AI

IMPACT Highlights the need for strategic management decisions alongside AI adoption to ensure genuine efficiency gains and cost savings.

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

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI business cases need 'stop doing' lists for true productivity

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Opinion piece from a Forbes contributor discussing AI implementation strategy.
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COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Rishi Katdare, Forbes Councils Member ·

    ​Your AI Business Case Needs A Stop Doing List

    Does the role of CAIO mean the CTO is no longer the AI authority in the room? That depends on whether the organization has resolved its AI governance structure.

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