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 and will publish the results when the study is complete, 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.