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How AI Consultancies Should Choose the Right LLM for Client Projects (and Prove It)

· 8 min read

Introduction: The Hidden Risk in AI Consulting

Over the past year, choosing a large language model has become one of the most important decisions in building AI-powered products. Yet in many AI consultancies, that decision is still made in surprisingly informal ways — defaulting to the latest frontier model, running a few prompts, and moving quickly into production.

That approach can work in internal teams where decisions are easy to iterate on and rarely scrutinised. But consulting is different. When you are building on behalf of a client, every technical choice becomes a recommendation that must stand up to questioning, both now and in the future.

Model selection is no longer just a technical preference. It is a decision that affects cost, performance, and trust — and increasingly, one that needs to be justified with evidence.