Policy-as-Code Regulation Engine

I will demo a small policy-as-code engine I built to explore how regulatory rules can be expressed as executable logic. The system takes human-readable YAML rules (e.g., thresholds, jurisdictions, prohibited transaction types), parses them into an internal structure, and evaluates each incoming transaction through a deterministic constraint pipeline. The core of the demo is the implementation: the rule parser, the abstract syntax tree used to normalise heterogeneous conditions, and the evaluator that resolves multiple matching rules into a single “allow/block/flag” decision.

Instead of slides, I will walk through the code that loads rules, interprets conditional operators, handles conflicts, and surfaces intermediate evaluation steps. I’ll also show a tiny sandbox where modifying a rule immediately changes system behaviour, illustrating how policy logic propagates through the engine. The goal is not to pitch a product but to share the technical challenges of translating messy institutional rules into a minimal, functioning execution model.