AI Strategy
The Wrong Way to Start With AI: Buying Tools Before Ranking Use Cases
Why executives should rank use cases before evaluating software demos or vendor promises.
The fastest way to waste money on AI is to start with tool selection. A polished demo can make almost any workflow look ready. The harder management question is whether that workflow should be a priority at all.
Why tool demos create false confidence
Vendors are good at showing what a product can do in a controlled setting. Executives need to know what the business can support in daily work. Those are different questions.
The management problem: too many ideas, no ranking system
Most teams can list possible AI use cases quickly: email drafting, reporting, document review, customer updates, knowledge search, scheduling support. Without a ranking system, the loudest idea or newest tool often wins.
A simple ranking model
- Value: What business problem would improve if this worked?
- Effort: What process, data, training, and management attention would it require?
- Risk: What happens if the output is wrong, incomplete, or ignored?
- Readiness: Does the workflow have clear ownership and reliable source material?
Example: reporting automation vs. customer email drafting
Automating weekly operations reports may save managers several hours and improve visibility across teams. Customer email drafting may also save time, but it may carry higher brand and accuracy risk. The right first pilot depends on value, readiness, and tolerance for review.
How to decide what deserves a pilot
A pilot should be narrow enough to manage and meaningful enough to teach leadership something. If your team is comparing tools before ranking use cases, book an intro call or request the audit to build the shortlist first.