AI financial model review
Find the assumption an investor will attack — before they do.
What is AI financial model review?
AI financial model review uses multiple AI models and personas — a CFO, a data skeptic, a sceptical investor and a risk officer — to pressure-test a financial model or projections: the load-bearing assumptions, the unit economics, the sensitivities, and the questions an investor or board will ask. It returns the weak points and the numbers to defend, audited before you present. It reasons from the figures you provide and is decision support, not regulated financial or accounting advice.
Who it’s for
- Founders building a model for a raise or board meeting
- Operators sanity-checking a budget or forecast
- Anyone presenting numbers they can’t afford to get wrong
What goes wrong without a review
- One optimistic assumption quietly driving the whole model
- Unit economics that don’t survive a second look
- No sensitivity analysis — the model only works in the best case
- A single AI checking the arithmetic but missing the unrealistic assumption
How Decidi reviews it
Decidi seats a CFO, a data skeptic, a sceptical investor and a risk officer, each on a different model. They interrogate where each number comes from, argue which assumption breaks first, and the moderator returns the assumptions to defend, the questions you’ll be asked, and the holes to close — with a re-derivation pass on the key figures. Final QA flags any arithmetic or logic that doesn’t hold.
Recommended council
What the council surfaces
- The load-bearing assumptions, ranked by how much they move the outcome
- Unit economics and margin risks an investor will probe
- Missing sensitivities and the downside case
- The exact questions to prepare for — with the numbers to defend
Review checklist
Questions
Is this financial or accounting advice?
No. It is rigorous decision support that pressure-tests your model and assumptions, but it is not regulated financial, accounting or investment advice — have a qualified professional review anything binding.
Does it need my real numbers?
It reasons from whatever you provide — paste the model, assumptions or projections. It won’t invent figures; where data is missing it tells you what to add rather than guessing.
Run this review now
Hand the council your work and get a verdict you can act on — audited before you commit, saved and downloadable.
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