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AI Agent Development

Most companies have already tried a generic AI assistant and hit the same limit: it knows nothing about their business and can't do anything beyond responding with text. A custom AI agent is different because it's connected to your real systems — your database, your CRM, your internal tools — and can execute concrete tasks within your operation, not just have a conversation.

What's included

Who it's for

For businesses that have repetitive, well-defined tasks or workflows that today consume hours of people's time who could be doing higher-value work — and that are willing to have a system execute those tasks with the right oversight.

How we work

We start by identifying concrete, well-scoped tasks, not "automate everything" at once. We design the agent with clear limits: what it can do on its own and what needs approval from a person. We test with real cases before giving it production access, and we leave verification mechanisms in place to catch when the agent gets something wrong or goes outside its scope.

Frequently asked questions

What's the difference between this and just using ChatGPT?

A custom agent is connected to your real systems (your database, your CRM, your internal tools) and executes concrete actions, not just answers questions in an isolated chat window.

How autonomous is the agent?

It depends on the case. We design the level of autonomy based on the risk of the task: for sensitive decisions, we leave a human approval step before the agent acts.

What AI provider do you use?

Whichever fits the case best — OpenAI, Anthropic, Google, among others. This is explicitly defined in the project scope, and the client always knows which provider their agent is using.

Have a repetitive task an agent could handle? Tell us which one.