The Regulatory Gap System is a multi-agent AI platform purpose-built to automate regulation-to-policy mapping, run structured compliance projects end-to-end, and keep organisations audit-ready. It extracts clause-level requirements from regulatory documents — such as Bank Negara Malaysia (BNM) regulations — compares them against an organisation's existing internal policies, procedures and controls, and generates structured mapping tables that flag gaps with clause-level evidence.

An eight-step guided project wizard takes compliance teams from project creation and team assignment through document upload, AI-assisted comparison and analysis, to a reviewed, exportable, audit-ready report. Every mapping carries a confidence score and a full reasoning trail, with lower-confidence results automatically routed to a human review queue — so compliance officers retain full oversight of the AI's output. All processing takes place on enterprise-controlled servers, with no data sent to external AI providers, supporting data residency and regulatory expectations.

Clause-level extraction and bidirectional regulation-to-policy mapping, with a confidence score on every finding.

Eight-step guided project workflow — create project, assign team, select documents, define comparison type, run AI analysis, track progress, review and export results.

Confidence scoring on every mapping, with an automatic human review queue for low-confidence or gap findings.

Continuous monitoring and regulatory watchdog — auto-scans regulatory sources and alerts on mappings affected by new or amended requirements.

Interactive, click-through audit trail and a read-only regulator portal for external examination.

One consistent taxonomy across regulations, internal policies and mappings, with automatic conflict detection between policies.

Role-based governance — Admin, Compliance Manager, Compliance Officer, Reviewer, Regulator and Auditor roles.