AI investment proposals fail for three recurring reasons: they lack credible baseline data, they underestimate implementation complexity, and they present benefits that are too vague to hold anyone accountable for delivery.
Start With a Problem, Not a Solution
The most successful AI business cases start with a precisely quantified business problem. Not "we want to be more data-driven" but "our compliance team spends 640 hours per month manually reviewing contracts, and we can eliminate 80% of that with AI document review."
