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:
- Too vague: "AI will make us more productive" is not a business case.
- Too ambitious: "AI will transform everything" scares people and sounds like hype.
- 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.