Shipping RAG and AI agents without enterprise theater

There is a version of AI consulting that sounds impressive in meetings and becomes fragile the moment a real team tries to depend on it.

Start from the operator workflow

Before building a RAG or agent setup, I want a concrete answer to one question: who uses this, at what moment, and what decision gets easier if it works?

Agent design needs boundaries

An agent that can do many things vaguely is less useful than one that can do a narrow thing reliably.

Good AI implementation also makes fallback paths visible on purpose, whether that means asking for clarification, handing off to a human, or surfacing missing source quality.