Start by diagnosing the problem, then choose the solution that serves it.

We start by defining the need. We may recommend a ready tool, an integration between tools, or a custom AI Agent if the problem requires it.

No. We explain the solution in business language and handle the technical side within the project scope.

It can, if there's a clear, repeating task that creates value when improved. Company size isn't the only factor.

We can discuss practical learning for your team. The format, scope and availability are agreed around your need.

We don't publish a fixed price, because the work itself differs from one business to the next. What sets the investment: the scope and its deliverables, how complex the process is and how many steps it has, the state of your data and systems, the integrations required, and how much training and post-launch support you need. After the diagnostic session we present a proposal stating the problem, the solution, the scope, the timeline and the investment before any commitment — and we won't propose building something that isn't worth its cost.

Yes. You can stop at the consultation, or move on later to training or building the solution.

It depends on the complexity of the process, the data and the required integrations — and it's defined after the discovery phase.

We define the data type, permissions and appropriate tools before building, and we avoid putting sensitive information into unsuitable solutions.

Public availability has not been announced on this site. You can send a general enquiry on the Contact page.