Deterministic Reproducibility in Financial AI Systems: A Formal Architectural Model

The paper is a professional architectural plan of deterministic reproducibility of financial artificial intelligence systems which would be executed under regulatory solutions. According to the regulators of the financial sector, the AI-based actions must be reproduced with the same exact outcome a number of years afterwards, something that cannot be achieved with most of the current AI products that are made nondeterministic. It proposed a system-level design that achieves reproducibility, through data snapshots, which are immutable, has pipelines with versions, is deterministically modeled in execution, and has cryptographically verifiable audit evidence. The problem of reproducibility can be also suggested to be an architectural property as well as not a model characteristic by various financial task-based quantitative experiments. The results suggest that long horizon financial compliance entails deterministic decision rebuilding that is practicable.