As enterprises build more AI into business workflows, one question is becoming harder to ignore: does every intelligent step really need an LLM? In this TeqTalk episode, Jas Kaur explores Jev, a decision model designed for fast, repeatable tasks such as routing, scoring, selection, and escalation.

We covered what Jev is, how it works, and how it differs from an LLM, including its use of confidence scores to help systems decide when to automate, double-check, or bring a human into the loop. It also looks at where Jev could fit within multi-model enterprise AI architectures.

The bigger idea is a more specialized approach to enterprise AI: LLMs for language and deep reasoning, decision models for fast judgments, software for rules and execution, and people where risk and accountability matter.