Financial institutions repeatedly interpret the same regulatory texts, translate them into internal requirements, map them to data fields, implement validation rules, build controls, and generate audit evidence. This work is duplicated across banks, broker-dealers, exchanges, vendors, and infrastructure providers.

This session proposes an open-source Regulation-as-Code framework for turning approved obligations into executable, versioned, testable, and auditable reporting pipelines. The lifecycle includes source text ingestion, obligation extraction, human review, rule definition, standards-based mapping, deterministic validation, report generation, evidence creation, submission readiness, and change monitoring.

The talk focuses on open infrastructure, not black-box AI. AI may assist with obligation discovery and change detection, but final rules remain human-reviewed, version-controlled, deterministic, tested, and auditable.

Attendees will see how this can interoperate with FINOS CDM, ISDA DRR, XBRL, ISO 20022, data catalogs, and existing submission systems to reduce duplicated compliance work while improving transparency, auditability, and regulator confidence.