From pilot to production. Take AI live with us.

AI is good at work that repeats and follows rules: processing invoices and documents, checking and cleaning data, reporting, prioritising requests, answering the common support questions, pulling materials together. The harder calls, the exceptions, and anything that needs judgement or accountability stay with people. The point is to take the routine off them, not to replace them, so they're free for the work that needs a person. For every process, we work out together at the workshop whether an agent fits.

Licences give you access to a tool. On their own they won’t wire it into your processes. ChatGPT or Copilot serve an individual at a chat window, helping them draft an email or summarise a document. Etnetera Agentic does something different: it runs processes that work on their own and under control. Agents approve invoices, write to systems, reply to clients, and every step leaves a record.

It also handles what blanket licences leave untouched. Today every team uses AI its own way, with its own keys and its own prompts. There’s no view of costs or of what data goes out to the models. Gateway is the single point every AI call passes through, where budgets and outgoing data are checked. Platform is then the environment where agents actually carry those processes out.

It depends on how complex a first use case you pick. A simpler agent (for reporting or data checks, say) is in operation within weeks. The first quarter tends to be slower, because we start by deploying Gateway and setting up the control layer: budgets, access, approvals and an audit trail. On that foundation every further agent is added much faster, because the limits and checks are already running.

For each agent you also see what its operation costs, so you can tell where it pays off and where it doesn’t. The goal is to raise the company’s capacity and speed up operations without a matching rise in headcount costs.

We handle security at the data and at the agents themselves. Every model call goes through Gateway, a single point where what leaves is checked. Sensitive details such as a personal identification number, IBAN or phone number are recognised by Gateway and replaced with a token before the request goes out to the model.

Your data stays in a closed environment under your control. Each agent has access only to what it needs for its work, and keys and connectors are set by an administrator, so the agent’s author can’t bypass them. Irreversible and sensitive actions require approval, which the platform enforces independently of the model. Every action is logged and you can trace it back.

Risk never disappears entirely, with any system. The more independent an agent is, the more it handles and the more room there is for error or attack. So we don’t trust an agent automatically. We keep it within clear limits that we monitor and adjust by how it behaves. The whole system is designed to meet enterprise standards and legislation (NIS2, the EU AI Act).

A pilot most often stalls on what a demo doesn’t account for: what an agent may do on its own, who answers for it, what it costs and whether it survives real operation. That’s where we start. Gateway gives you control over costs and over what data goes out to the models from day one. Platform makes sure an agent finishes even through an outage and waits for a person at a risky step. We then add autonomy gradually, by risk, so the move into production doesn’t seize up. We don’t just deliver an assessment and a roadmap. We build and operate as well, and it runs in your infrastructure.