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 a tool. On their own they won't plug it into your processes. Without architecture and a plan, people either use AI at the surface or feed sensitive data into it with no control. An AI transformation connects the models to your databases and systems, sets the security rules, and builds agents that run whole processes, rather than just writing emails.

It depends how complex a first use case you choose. A simpler agent, say for reporting or data checks, is live in a matter of weeks. The first quarter is usually slower, because we build the platform and control layer first and everything else rests on them. That early investment pays back over the following months, when each new agent goes in far faster. You'll get a concrete estimate for your situation after the workshop, once we know what we're starting with.

We handle security on two fronts: the data and the agents themselves. Your data stays in a closed, encrypted environment under your control. Each agent can only reach what it needs for the job. Irreversible or sensitive actions need approval, and the tool enforces that itself, independently of the language model, so a spoofed prompt can't get around it. Every action is logged and you can trace it back.

Risk never disappears completely, with any system. The more autonomous an agent is, the more it can do, and the more room there is for a mistake or an attack. So we don't trust an agent by default. We keep it inside clear guardrails, and we watch and adjust them as we see how it behaves. The whole system is designed to meet enterprise standards and the law (NIS2, EU AI Act).

Pilots usually stall on what the demo never covers: what the agent is allowed to do alone, who's on the hook for it, and whether the business can carry that risk. That's where we start. The platform lets us build the control layer first (permissions, approvals, audit trail, budget), then add autonomy step by step, by risk, so the move to production doesn't jam. And we don't stop at an assessment and a roadmap. We build it and we run it.