AI Prototype: Regulatory Control Coverage Intelligence Platform

Overview

An AI-driven prototype exploring how organizations can improve regulatory compliance through intelligent control mapping, coverage analysis and governance insights.

The platform analyzes:

• regulations

• controls

• ownership

• evidence coverage

• remediation gaps

to identify:

• missing control mappings

• governance weaknesses

• insufficient evidence coverage

• ownership gaps

• high-risk compliance domains

The AI then generates:

• control coverage insights

• remediation priorities

• governance recommendations

• operational improvement suggestions

Key Capabilities

• Regulatory-to-control mapping analysis

• Compliance gap identification

• Evidence coverage assessment

• Ownership accountability analysis

• Remediation prioritization

• AI-driven governance insights

Business Value

This prototype demonstrates how AI can support:

• regulatory transformation

• governance modernization

• compliance intelligence

• operational resilience

• enterprise control optimization

Technology Stack

• Python

• Streamlit

• OpenAI API

• Pandas

• AI governance reasoning layer

Applicable Regulatory Domains

• PRA

• FCA

• AML

• GDPR

• MAS

• RBI

• Enterprise compliance frameworks

AI Prototype Screenshots