AI that actually works in your company.

Adopting AI is a process of changing how you work, not buying a tool. It combines building the team's awareness (what AI is, where it shows up - chat, agents, automations - and its limits) with mapping everyday tasks and choosing solutions that genuinely speed them up. Then come training people, embedding habits, and measuring the effects. It's an ongoing process - because about 70% of the value comes from people and processes, not the technology itself.

First we check where AI will genuinely save time and raise quality in your company. We begin with one or two areas with a quick return, train the team, and only then scale. That kind of start quickly breaks resistance and convinces the team it's worth getting behind the change.

We're fans of an iterative approach - we start with quick wins, then build on a solid foundation. The cost depends on scope, and you should know that a single training won't do it: it's a process spread over a dozen-or-so weeks, depending on what your organisation needs. On top of that come tool costs, which scale with how intensively you use them. The first 30-minute consultation is free and with no obligation.

In a small team the productivity gain shows immediately, and the rollout itself is faster and cheaper than in a large organisation. The biggest and fastest gains go to less-experienced workers - per an NBER study, up to 34% more tasks per hour. The key is pinpointing where to start.

You usually see first effects - higher quality and more tasks done - almost immediately, because we start from a narrow, concrete area. Measuring real returns as agreed KPIs, however, usually takes a few months. We build larger systems in stages, so each stage already delivers value.

On the market, simply introducing a tool - Copilot, Claude or ChatGPT - plus a one-day training is often called “AI adoption”. In reality, adopting AI in an organisation is above all a process that happens in the heads of the people who make up the company. We work on awareness and ways of working; the tools are just a means to reach the goals - not the goal itself.

In our experience, data security is the biggest blocker and the biggest objection when introducing AI-based tools - the larger the organisation, the more areas need attention. Although regulation in this area is still imperfect, we already have the tools and means to keep your data safe and your operations legal and compliant. We agree the scope of data processing with you at the start of the project.