AI Is Fallible. Systems Aren’t (If You Build Them Right)

In This Episode of Business Lunch, we unpack why the real power in AI isn’t the model itself—but the protocols wrapped around it. Even advanced AI systems still get things wrong 15–20% of the time, which makes unchecked automation a serious business risk. The winners aren’t chasing smarter models; they’re building structured decision systems that catch errors, manage leverage, and define when humans step in.

We explore how companies use tools like RAG and multi-layer “triple-check” frameworks to dramatically reduce AI error rates, why stabilizing decision-making must come before accelerating it, and how operating leverage—done right—can either amplify profits or protect downside. The big takeaway: well-designed AI protocols are becoming a new form of intellectual property, increasing predictability, transferability, and valuation by creating true founder-independent businesses.

In short, the future advantage isn’t faster AI—it’s better thinking systems.

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