Most finance teams are stuck between IT that moves too slowly and Excel sprawl they can’t escape. We build the full data layer: pipelines, warehouse, BI, and AI agents.
Every month the same ritual: open files, refresh, manually check, forward by email. XLOOKUPs held together with prayer. When the person who built the model leaves, nobody knows where the formulas come from.
Finance can’t wait three months for an IT ticket when month-end is in two days. So they build their own. In Excel, in Power BI, sometimes in tools they bought themselves. It works until it doesn’t, and then it’s an audit finding waiting to happen.
You see what AI is doing in other functions. You don’t want a vague ‘AI strategy’. You want to know which problems are real today, which ones need foundations first, and how to avoid paying 3–5x markup for credit-based platforms that resell someone else’s model.
From source systems to AI agents. One team.
Warehouses and pipelines, built once, governed properly.
Semantic models that CFOs trust.
Agents that do the work. With deterministic checks.
Senior interim hands, with built-in AI and data expertise.
“The foundation you need for AI is the same foundation you need for reliable reporting. You don’t invest twice.”
Most of them have never read a P&L. They build technically correct warehouses that miss what finance actually needs.
They run workshops, produce slides, and hand the implementation to someone else. The ‘someone else’ is usually expensive and slow.
Tim runs finance functions. Djurre builds data infrastructure. We come from finance, so we know the urgency. We build like data engineers, so it’s scalable and documented.
2 minutes. 7 questions.
Answer 7 quick questions about your finance data setup.
No account managers. No handoffs.
Co-founder · Finance
20+ years in finance leadership. Builds the reporting and planning systems behind board-level decisions.
Tim runs finance functions. Djurre builds data infrastructure. both, on every engagement.
A 30-minute call. We’ll discuss your stage, where it typically gets stuck, and what makes sense as a next step.
