Analysis on Demand

“What are the key differences between part one and the sequel?” — a perfectly ordinary question in production finance. Yet until now, nobody could answer it without days of manual work, because budget files are authoring documents, not analyzable data.

Cleanly mapped budgets change that: the question itself becomes the interface. An assistant translates it into queries over the unified data and walks through the answer step by step, with numbers you can check.

What sets part 1 apart from the sequel?

Crew +12 % ▸ 41 rows

Equipment −4 % ▸ 18 rows

Post-production +31 % ▸ 22 rows

every figure sourced

Interface: the question itself
Foundation: uniformly mapped budgets
Answers: traceable, with verifiable numbers

Map First, Then Ask

The real groundwork is invisible: budgets only become comparable at all because every production is mapped to the same chart of accounts. On that foundation, an assistant can translate domain questions into concrete analyses — comparisons between productions, shifts across budget versions, outliers in individual departments.

The form of the answer matters to us: no oracle prose, but a narrative that follows the numbers and backs up every claim. Anyone who wants to recalculate can recalculate. Analysis on demand doesn’t mean believing the model — it means getting faster to the places where checking is worth the effort.