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The AI Adoption Gap: Why Enterprise AI Stalls and How to Redesign Work, Govern Shadow AI, and Scale What Works - Couverture souple

Maqsood, Aman

 
9798191745824: The AI Adoption Gap: Why Enterprise AI Stalls and How to Redesign Work, Govern Shadow AI, and Scale What Works

Synopsis

Your AI dashboard can be green while the work stays the same. Access can rise. Activity can spike. Demonstrations can impress. Yet cycle time, quality, cost, risk, and customer outcomes may not move. The AI Adoption Gap is a practical operating guide for leaders who need to turn scattered AI use and disconnected pilots into measurable, governed work. It replaces adoption theatre with a workflow-first system for deciding what to stop, redesign, test, and scale. Inside, you will learn how to:

  • replace login counts with an evidence ladder tied to outcomes;
  • map the real workflow, including handoffs, rework, controls, and exceptions;
  • assign each step to deterministic software, bounded model judgment, or accountable human authority;
  • govern shadow AI without driving useful discovery underground;
  • build evaluation sets, pilot charters, readiness checks, and weekly scorecards; and
  • run a 90-day portfolio cycle that scales only what earns the right to scale.
The book includes a workflow audit, opportunity scoring model, pilot charter, evaluation set builder, production readiness checklist, outcome scorecard, and detailed 30-day action plan. For CIOs, COOs, transformation leaders, functional executives, product owners, operations teams, and risk partners who need operating change, not another list of AI tools.

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