How to Stop AI From Making Expensive Mistakes

(The "Junior Analyst" Trick)

The Chain-of-Thought (CoT) prompting strategy

We have all been on the "AI roller coaster."

First comes the excitement: “Wow, it drafted that client email in seconds!”

 Then comes the skepticism: “Wait... why did it say the client’s old policy has a guaranteed cash value when it’s clearly variable? Why did it miss the contestability period? I can’t trust this thing with my license...”

You aren't wrong to be skeptical. In our industry, a misinterpreted clause or a missed exclusion isn't just a typo—it can cost a family their financial security.

In the first article of this series, we discussed RISEN to give AI structure. (Read it here)

In the second article, we explored Zero-Shot vs. Few-Shot to show AI examples of your style. (Read it here)

Now, we need to solve the third and biggest challenge: Logic.

Many advisors are about to give up on AI for heavy-duty tasks like comparing an existing policy against a new proposal. But the problem isn't usually the AI itself. The problem is that we are rushing it.

There is a technique called Chain-of-Thought (CoT) prompting. Forget the technical name—just think of it as the "Junior Analyst" trick. It instantly makes AI smarter, more accurate, and safer to use.

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