Role-Based Programme
RB1622
AI-Powered Regulatory Compliance
Smarter Regulatory Monitoring, Obligation Mapping & Compliance Assurance
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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Apply AI across Regulatory Compliance activities including regulatory research, obligation identification, impact assessment, control mapping, monitoring, and reporting.
- Use AI-assisted techniques to analyse regulations, circulars, guidance, policies, controls, and compliance evidence more efficiently.
- Develop structured workflows for regulatory-change management, obligation tracking, compliance testing, issue remediation, and management reporting.
- Analyse regulatory and compliance information to identify gaps, overdue obligations, recurring exceptions, emerging requirements, and areas requiring deeper review.
- Apply responsible AI practices covering source verification, legal interpretation boundaries, confidentiality, data protection, evidence quality, and human oversight.
Tools covered
Generative AI AssistantsAI-Powered Regulatory ResearchDocument IntelligenceRegulatory Change AnalysisObligation MappingPolicy & Control AnalysisCompliance MonitoringSpreadsheet AnalysisReporting AssistanceWorkflow Automation
Who should attend
- Regulatory Compliance Professionals
- Compliance Managers
- Compliance Officers
- Legal & Compliance Executives
- Regulatory Affairs Professionals
- Compliance Analysts
- Governance Professionals
- Policy & Compliance Professionals
- Risk & Compliance Analysts
- Compliance Monitoring Professionals
- Control & Assurance Professionals
- Regulatory Change Professionals
- Legal Operations Professionals
- Legal & Compliance Team Leads
Prerequisites & Participant Readiness
- Working knowledge of compliance, legal, regulatory, governance, or control activities
- Familiarity with regulations, policies, procedures, monitoring, or compliance reporting is helpful
- Basic document and spreadsheet skills
- Basic awareness of Generative AI is helpful
- No programming knowledge required
TOC Modules
Concepts
- Understanding Generative AI, research assistance, document intelligence, analytics, and automation in regulatory compliance
- Identifying AI applications across regulatory research, monitoring, mapping, assessment, and reporting
- Understanding AI assistance versus qualified Legal and Compliance interpretation
- Recognising risks related to outdated information, hallucinations, jurisdictional differences, and unsupported conclusions
Practical activities
- Mapping the Regulatory Compliance lifecycle to AI-assisted activities
- Identifying repetitive research and documentation activities suitable for AI support
- Comparing traditional and AI-assisted compliance workflows
Scenarios
Regulatory Change to Compliance Implementation Plan
Regulatory Update → AI-Assisted Research → Obligation Extraction → Applicability Assessment → Policy & Control Mapping → Gap Analysis → Action Plan → Implementation Tracking
Participants analyse a simulated regulatory change, identify applicable obligations, map them to existing policies and controls, identify gaps, and prepare a structured implementation plan for authorised review.
Compliance Monitoring to Regulatory Management Report
Monitoring Results + Exceptions + Open Obligations + Regulatory Changes → AI Analysis → Risk Themes → Breaches & Gaps → Remediation Actions → Management Report
Participants consolidate sample compliance information, identify recurring issues and overdue obligations, and prepare a management-ready Regulatory Compliance report with clear actions, owners, and priorities.
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