Service
AI Agents
An agent that reads your data and acts on it is a different thing from a chat window that describes it. We build the first one — with the guardrails, evaluations and traces that make it safe to leave running when nobody is watching.
What you get
- An agent deployed to your infrastructure, not a demo in a notebook
- Tools scoped to exactly what it may touch, and nothing beyond that
- An evaluation suite that runs on every change, so a prompt edit cannot quietly alter behaviour
- A trace for every run: what it decided, what it called, what came back
- A written escalation path for the cases it is supposed to refuse
What is not included
- Training or fine-tuning a model
- Labelling data and building datasets
- Rebuilding the systems the agent reads from
Each of these is real work and is quoted separately. A fixed scope without a written boundary is an open-ended project with a capped invoice.
Is this you?
- A person on your team runs a process by hand, on data your systems already hold.
- You tried a chatbot and found it could describe the work but never do it.
- You need to explain to someone else what the agent did, and why it did it.
Every engagement runs the same five phases, whichever discipline it starts in. See the process
Make the shift.
Or book a call directly
Thirty minutes with an engineer. No deck, no discovery call about a discovery call.
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