AI Agents & Automation
Agents that do, not just answer.
We build software agents that carry out work inside your existing systems. A process that reads your data, decides what to do, and does it, with a defined limit on what it’s allowed to touch.
What it is
An agent is a language model connected to your tools and given permission to use them. Where an assistant returns an answer, an agent changes state: it writes to the database, calls the API, moves the record. Most useful systems do both, and the two are often the same build.
Typical work we’re asked for looks like this. Support tickets read, categorised, routed and enriched with account history before a human sees them. Invoices matched against purchase orders, with exceptions flagged and the rest posted. Data kept in sync between two systems that were never designed to talk. Documents pulled apart, checked against a policy, and filed. Reports that used to be somebody’s Thursday morning.
What you get is a running agent integrated with your systems, a written definition of every action it can take, an audit log of everything it has done, and a handover so your team can extend it without us.
How we build it
We work inside whatever you already run. If there’s n8n, Vapi or Retell in place, the agent goes there. If there’s nothing, we build direct against the APIs rather than introduce a platform that then has to be maintained and paid for.
Each capability is a separate tool with a narrow, typed input contract. Function calling on Claude or OpenAI, MCP where the tooling supports it. We don’t write broad tools that hand an agent open access to a database, because the blast radius of a mistake is then unbounded.
Every run is logged with the full call sequence and its result, so a failure can be traced rather than guessed at. Session state persists, so an agent that stops halfway resumes instead of repeating work that already succeeded.
Where the boundary sits
Every operation is classified before it’s built: reversible, or not. Reversible operations run unattended. Irreversible ones — sending, paying, deleting, publishing — stop and wait for a person.
An agent acts only through the tools it has been given. No general shell access, no arbitrary API calls. Wider access is possible and sometimes correct, but it’s an explicit decision you make, not a default we ship.
Where the next step needs judgement rather than execution, the agent stops and hands the case over with its reasoning attached.
Proof
Agents that take actions, running entirely on local hardware
Desktop agents that run shell commands, manage files and drive coding sessions, with speech handled on-device. Built to work out where an agent should be allowed to act.