AI Adoption Guide

Building the Business Case for AI Adoption

How to get budget, buy-in, and organisational momentum for AI at your firm.

Why business cases fail

Nearly half of enterprise leaders say proving business value is the #1 hurdle for AI adoption. The technology works. The tools are available. But the internal conversation stalls because no one has made a clear, credible case for what AI will deliver and what it will cost.

Most AI business cases fail for one of three reasons:

  1. Too vague: "AI will make us more productive" is not a business case.
  2. Too ambitious: "AI will transform everything" scares people and sounds like hype.
  3. No baseline: Without knowing how long things take today, you cannot demonstrate improvement.

This module gives you the framework to build a business case that gets funded.

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Which of these is the most common reason AI business cases fail?