AI chosen for the problem, not the slide deck

Simple improvements, such as sorting email, cost about as much to run as the business software a company pays for every month, plus a one-off fee to build them. A larger project with agents, several connected systems and ongoing support is on another scale. You get a written range after the first conversation, before any work starts.

Only if you knowingly agree to it. By default we design the system so that sensitive data stays inside your own systems, and anything that does leave them is written down and kept to a minimum.

For most business work, no. AI good enough to sort documents, pull figures out of them or answer customer questions runs on ordinary computers, or on capacity you rent by the hour.

Yes. Decisions are made faster in a smaller company, and processes are easier to map. We start with one process and a budget you set, and if the first version does not earn its keep, you stop there.

Within days. Project leadership stays with us, and we bring in as many data, machine learning and software engineers as the scope requires. The line-up is agreed at the start, so from day one you know who is responsible for what.

We stop at the first working version, and the code and everything we learned stay with you. Before we build anything we agree how the result gets measured, so both sides know what “it worked” means.

We build a first working version, an MVP, in days, not weeks. How long a full rollout takes depends on how many systems have to be connected and on the state of your data.

We look at three places where money leaks: what other suppliers charge for exactly the same AI, whether a smaller and cheaper one would handle the easy jobs, and how much text gets sent with every request, because you pay for all of it.