We build the
AI agents
that do the work.

An AI agent completes a task; a chatbot answers a question. A chatbot might tell you which invoices look overdue. An agent reads the invoices from your files, checks which are past terms, drafts the chase emails, sends them, and logs what it did. The difference is whether the work is finished at the end or handed back to you as a suggestion.

A working pilot on your own data costs $2,400 to $4,500 and takes one to two weeks. A production build across two or three systems is typically $8,000 to $22,500 over three to six weeks, and running costs after launch are usually $50 to $450 a month. What moves the price is how many systems the agent touches and what a mistake would cost.

You see one workflow running on your own data before you commit to a full build. The prototype stage exists precisely so you are not asked to trust a description — you watch it do the real job first, and stop there if it is not right.

Yes, when it uses your existing accounts and permissions rather than a copy of your data. Agents built here connect through the Model Context Protocol using credentials your business already controls, so the agent can only reach what the account it runs as could already reach. Every read and write is logged as it happens, and you can revoke access the same way you would for an employee.

No. The agent works inside the tools you already pay for — email, file storage, calendars, chat, the browser. Replacing working software to accommodate AI is usually a sign the AI has been sold to you the wrong way round.

You see it, because nothing runs in a black box. Every action is logged as it happens, agents are built with explicit approval steps for anything consequential, and work can be stopped mid-flight. The right question is not whether an agent will ever be wrong, but whether you will find out before it matters.

Those tools follow rules you write in advance; an agent decides what to do at the time. If your process is genuinely fixed — this trigger, always that action — a no-code automation tool is cheaper and you should use one. Agents earn their cost when the work needs judgement: reading an unstructured email, deciding which of six things it is, and handling it accordingly.

Whichever suits the job, and you are never locked to one. The open-source tooling behind this agency already supports Anthropic, OpenAI-compatible endpoints, OpenRouter, Z.AI, Kimi K2 and Novita, and switching provider is a configuration change rather than a rebuild. That matters when prices and model quality move as fast as they currently do.

You do. Engagements end with handover: the code, the documentation and training for your team, so you are not renting access to something you paid to have built.

Because you can read the code instead of taking a reference call. ClaudeGate and Cowork are public on GitHub with their full commit history, so the engineering behind this agency can be inspected before you spend anything — which is more evidence than most agencies will give you from a logo wall.