Why finance matters for AI safety
Financial work combines exact arithmetic with judgement about risk. A model can get one right and the other wrong, and both errors end up in somebody's decision.
As agents begin to read statements, reconcile accounts and prepare analysis, the cost of a quiet error grows. Finance professionals know where those errors hide.
What finance experts do
Finance experts write worked solutions to financial problems and rank model answers on accuracy and reasoning. They check multi-step calculations line by line.
They evaluate agents that analyse statements or build models, red-team for misleading or unsuitable financial guidance, and produce alignment data on uncertainty, disclosure and when to defer to a professional.
- Worked solutions and expert reasoning
- Line-by-line review of calculations
- Evaluation of financial analysis agents
- Red-teaming for misleading guidance
- Alignment data on risk and uncertainty
Failure modes finance experts catch
Common failures include arithmetic slips in long calculations, misread line items and mixed accounting treatments. A figure can be right while the method that produced it is wrong.
Experts also flag judgement failures: risk left unstated, speculation framed as fact, or an agent ready to act on numbers it has not verified.
How we vet finance experts
Finance candidates are interviewed by AI voice agents on how they approach analysis and risk. They then complete real-world work tests from their discipline, such as reviewing a set of figures or a model's financial reasoning.
Credentials and experience are reviewed as part of vetting. Analysts, accountants and risk specialists each sit assessments matched to their role.