The 5th Insurance Investment Executives' Annual Meeting: Focused Education
PushButton AI Team ·
The 5th Insurance Investment Executives' Annual Meeting: Focused Education
You bought an AI tool. Now it sits there collecting digital dust while you're out $200/month.
You're not alone in this — and you're not tech-stupid. The tool was just built for everyone, which means
You bought an AI tool. Now it sits there collecting digital dust while you're out $200/month.
You're not alone in this — and you're not tech-stupid. The tool was just built for everyone, which means it was built for no one in your specific situation.
Here's what insurance executives figured out at a recent industry meeting: general-purpose AI reads documents just fine. But it can't produce the exact outputs your team actually needs or connect to the systems you already run. That's not an AI problem. That's a fit problem.
The difference between AI that works and AI that doesn't isn't intelligence. It's specificity. The right question isn't "should we use AI?" It's "what exact task is eating my team's time right now?"
Start there. Pick one repetitive task. One output. One measurable result. If it saves 5 hours a week in 30 days, you have your proof of concept — without blowing budget or breaking anything that already works.
One specific win beats five half-used tools every single time.
What's the one task in your business you'd automate tomorrow if you knew it would actually work?
A general-purpose AI tool may be able to read those documents, but it often isn't designed to produce the specific outputs brokers need or integrate ...
