Agentic AI & LLM Engineering

An agent is production software that happens to reason. We start from the task you want done end to end — a refund resolved, an invoice matched, a ticket closed — and design backwards from the tools, permissions and data that task needs. Scoping the task tightly is most of the work; agents fail more often from a vague remit than from a weak model.

The build is the application around the model: tool-use orchestration, retries and fallbacks, structured output the rest of your stack can consume, and traces you can read when something goes wrong. Human oversight is designed in rather than added afterwards. We agree with you which actions an agent may take alone, which need a person to approve, and what that person sees when they are asked.

Handover includes the evaluation set, the prompts and tool definitions under version control, and a runbook for the team who will own it. You should be able to change how an agent behaves without calling us.