Why LLM Model Selection Isn’t Just for Engineers: A Business Guide to Defensible AI Decisions
In many companies, LLM model selection still gets treated like a narrow technical choice.
Engineering picks a model, the team wires it into the product, and everyone else assumes the hard part is done.
That mindset is increasingly outdated.
Once an LLM touches a customer journey, an internal workflow, or a client deliverable, the decision is no longer just about technical performance. It affects cost, latency, reliability, risk, user experience, and ultimately the credibility of the business. In other words, model selection is not just an engineering decision. It is an infrastructure decision with commercial consequences.
That matters in every business. But it matters even more in client-facing models such as consultancies, agencies, and services businesses, where technical decisions do not stay internal for long. They have to be explained, defended, and often justified to clients who are paying for outcomes, not model hype.