⛔Stop letting LLMs decide for your customers.
AI and LLMs are incredible.
They are language machines.
✨Use them where they shine: at design time to brainstorm, draft, or analyze patterns. At run time, let them handle language-heavy tasks like sentiment analysis, text classification, or summarizing a customer’s request.
But do not confuse that with making the decision itself.
The output of the LLM should be an input to a decision model where the decision model ensures the actual choice is made consistently, fast, accurate, and with very low energy requirements.
🚩The moment you let a raw LLM decide for your customers, you trade predictability for roulette. One tiny change in prompt or context and the outcome shifts.
Outcomes of LLMs are incredibly sensitive to the versions of LLMs you use. That’s a reputation, governance, and compliance issue.
The real win comes from combining both sides: LLMs to understand and interpret, decision models to decide and act.
That is how you scale trust, compliance, and customer experience without burning cash or reputation.
No ML/LLMs should make decisions.
They should support and inform decisions by providing the insight to the decision model.
🚀 Composite AI combines the best of each world: LLM + traditional ML + rules in one cohesive and holistic decision model.
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Published September 18th, 2025 at 07:30 am
