Most "AI projects" stop at a demo. We are interested in the part after that: the system that runs every day, that someone owns, and that keeps working when we leave.
Systems that work on your own data and actually carry a task end to end. Not a chat window — an agent that owns a job.
Taking repetitive work off people. Usually the fastest payback, because the hours being lost are already measurable.
Making the data you already have decision-ready. Not building dashboards — getting the right question asked of the data.
The questions to answer before writing code: what to build, what to buy, and in what order.
Uğur runs the software services and the corporate side. He builds AI systems in production rather than in slide decks, co-founded Fjordland Group in New Zealand where he serves as interim CFO and CIO, and leads technical execution at Waka Research.
Tell us what you are trying to do. The first conversation is free and it is not a sales call — if we think the problem does not need AI, we will say that too. A written proposal follows once scope is clear.