This guide will introduce you to:
- How to structure an AI business case across eight sections a committee can actually act on
- Why the cost of inaction is often your most persuasive number
- Prototype before platform: proving value on your own data before you commit the budget
- Staged, gated investment: how to right-size the ask so it's easy to approve
Your key takeaways
Proof, not forecast
The strongest thing you can put in front of a committee isn't a projection, it's a working application, running on your own data, that people can actually use.
Inaction has a price
Most cases add up the cost of the project; far fewer show the cost of doing nothing, which is usually the number that moves the room.
Start small, then scale
Prove one narrow use case first and ask to grow what works, rather than betting on an eighteen-month platform up front.