Atlas Financial Intelligence works where the finance function meets AI — planning and analysis, independent evaluation and governance, decision support, and process automation.
Our flagship study asks one precise question: can AI systems investigate ambiguous financial-performance problems with the judgment of an experienced FP&A professional? We publish the methodology, the tasks, and the results — so finance leaders can calibrate trust instead of guessing.
Explore the benchmark→Planning, forecasting, and performance management that stands up to board-level scrutiny.
Enquire →Independent assessment of where AI can be trusted in finance workflows — and the controls it needs.
Enquire →Models and analysis built for decisions, not dashboards.
Enquire →Automating close, reporting, and planning with auditability designed in from the start.
Enquire →Advisory for CFOs modernizing the finance function without breaking what works.
Enquire →Financial analysis, oversight support, and AI governance for government buyers.
Enquire →We publish our methods and take no vendor incentives. Our only product is a defensible answer.
Built by people who have owned forecasts, closes, and variance calls — not observed them.
Where AI helps, we show it. Where it fails, we say so — with the test cases to prove it.
Most engagements start with a short conversation about the decision in front of you — a forecast that keeps missing, an AI tool someone wants to put in the close, a board question you can’t answer cleanly yet.