AI agents can now read documents, call APIs, and complete multi-step tasks on their own. Yet many organisations get stuck after a promising demo. The gap is rarely the model — it is everything around it.
Production agents need clear boundaries: well-defined tools, guardrails on what they may change, and a human-in-the-loop for high-impact actions. They also need evaluation suites, so every prompt or model change is tested against real cases before release.
Start with one high-volume workflow, such as support triage or document processing, measure the baseline, and ship an agent that handles the routine cases end to end. Expand only once the numbers prove it.