technology
PushButton AI Team ·
That AI tool scored 92% accuracy. Sounds impressive. But 92% of what, exactly? This is the question nobody asked before signing the contract. If you've paid for an AI tool your team quietly stopped
That AI tool scored 92% accuracy. Sounds impressive. But 92% of what, exactly?
This is the question nobody asked before signing the contract.
If you've paid for an AI tool your team quietly stopped using, you're not alone — and you're not foolish. The vendors led with flashy numbers. The demo looked perfect. Then real life happened.
Here's the uncomfortable truth the industry doesn't advertise: benchmark scores are measured in controlled conditions, not your messy, real-world business environment. An AI that aces a standardized test can still fail completely when it meets your actual customers, your actual data, your actual workflows.
The metric that matters isn't how the tool performs on someone else's problem. It's how it performs on yours — in a small, low-stakes test you define before spending another dollar.
Before your next AI conversation, ask one question: "Can I run a 30-day pilot on a single process, with my own data, and measure the result myself?" If the answer is no, that's your answer.
That one filter alone will save you from most bad decisions — without touching anything that already works.
What's the AI purchase you regret most — the tool nobody used, or the consultant who disappeared?
#AIStrategy #BusinessOwners #SmallBusiness #AIImplementation
Which raises an uncomfortable question for every sponsor currently integrating AI into an eClinical workflow: what test did you actually run before go ...
