technology
PushButton AI Team ·
Your AI tool gave you a confident wrong answer. That's not a you problem. That's a design problem nobody warned you about. Most AI tools are built to sound right, not be right. They pull from general
Your AI tool gave you a confident wrong answer. That's not a you problem. That's a design problem nobody warned you about.
Most AI tools are built to sound right, not be right. They pull from general knowledge — not your pricing, your process, your customer history. So when your team asks it something specific to your business, it guesses. Confidently. And that's exactly why adoption dies.
There's a real fix for this. It's called grounding — connecting AI to your actual business data before it answers. Think of it like the difference between hiring a smart stranger and briefing a smart employee. One sounds helpful. The other actually is.
You don't need a new tool for this. You need your current AI pointed at the right information.
Here's where to start: identify the one question your team asks most that AI currently gets wrong. That's your test case. Fix that one thing first. Get one reliable answer. That's your proof of concept — and it costs nothing to test.
The consultants won't tell you this because it's not billable enough. But it works.
What's the most frustrating thing your AI tool keeps getting wrong about your specific business?
#AIStrategy #SmallBusiness #AIImplementation #BusinessGrowth
It is tempting to assume that the solution lies in adopting more advanced models. In reality, that only addresses part of the problem. Generative AI ...
