RegMatcher is an AI-enabled compliance and control-mapping platform that supports regulatory interpretation, requirement management, and alignment of external obligations with internal policies, controls, and processes. The platform allows users to ingest regulatory texts and guidance alongside internal documentation such as policies, frameworks, control libraries, procedures, process maps, and evidence artifacts. RegMatcher monitors regulatory sources for updates, analyzes changes, and extracts individual requirements from source materials, which are then mapped to relevant internal documents to assess coverage and identify potential gaps.

The platform performs gap analysis by comparing extracted regulatory requirements to the organization’s existing compliance framework. Requirements are categorized as new, updated, or insufficiently addressed, and the system highlights areas where policy, control, or process changes may be required. For each identified gap, RegMatcher provides traceable references linking regulatory text to internal documentation to support review and validation. The platform can also generate draft controls aligned to newly identified requirements and support alignment with existing frameworks prior to implementation.

RegMatcher also supports assurance and audit preparation activities, including evidence review and control validation. It can compare evidence artifacts to control design, generate draft evidence narratives based on supporting documentation, and assist with validation of audit responses. Outputs typically include mapped requirements, identified gaps, draft controls and recommendations, structured review reports, and ongoing monitoring views to track regulatory changes and remediation status over time.