The engine computes, not the model
No number in an answer was written by a language model. The AI selects and parameterises the calculation; the engine runs it and returns the result.
Anyone can ask, in plain language. The AI works out which calculation answers the question; a deterministic engine runs it against your agreed definitions and your guardrails. Ask the same thing next year and you get the same number.
No number in an answer was written by a language model. The AI selects and parameterises the calculation; the engine runs it and returns the result.
Agreed definitions, guardrails and what a given person may see are applied when the calculation is built, not reviewed afterwards. No phrasing gets around them.
Which definition, which inputs, which assumptions, as of when. One click from the number, and it travels with the answer when someone forwards it.
Re-run the question and get the same figure. Every question, answer and derivation is kept, attributable to a named person. Nothing rests on trusting the AI.
A number is only useful if it survives being challenged. Every answer carries the definition it used, the inputs it read and the moment it was computed, so the challenge is answered from the answer itself.
Bring the question your teams argue about most — from any of them, in their own words — then open the working. That is the whole evaluation.