Role-Based Programme
RB1623

AI-Powered Regulatory Compliance

Intelligent Regulatory Monitoring, Obligation Management & Compliance Automation

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across regulatory research, obligation management, compliance assessment, monitoring, remediation, and reporting.
  • Use AI to analyse regulations, regulatory notices, policies, procedures, compliance registers, control evidence, incidents, and management information.
  • Build repeatable AI-assisted workflows for regulatory-change tracking, applicability assessment, obligation mapping, compliance monitoring, and issue follow-up.
  • Apply AI to identify regulatory gaps, recurring compliance exceptions, overdue obligations, control weaknesses, and emerging regulatory themes.
  • Design responsible AI-enabled Regulatory Compliance workflows with appropriate controls for legal interpretation, confidentiality, evidence integrity, accuracy, explainability, auditability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AIRegulatory Intelligence ToolsSpreadsheet & Data AnalysisCompliance AnalyticsKnowledge Management AIReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • Regulatory Compliance Managers
  • Compliance Managers
  • Compliance Officers
  • Regulatory Compliance Analysts
  • Legal & Compliance Professionals
  • Regulatory Affairs Professionals
  • Governance Professionals
  • Risk & Compliance Analysts
  • Compliance Monitoring Professionals
  • Internal Controls Professionals
  • Policy & Compliance Professionals
  • Regulatory Change Professionals
  • Compliance Assurance Professionals
  • Legal Analysts
  • Regulatory Compliance Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of regulatory compliance, legal, governance, risk, or internal-control activities
  • Familiarity with regulations, policies, obligations, compliance monitoring, controls, or regulatory reporting
  • Basic proficiency with documents, spreadsheets, online research, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, Document AI, regulatory intelligence, analytics, and workflow automation
  • Mapping AI opportunities across the regulatory-compliance lifecycle
  • Understanding AI assistance versus qualified Legal and Compliance interpretation
  • Recognising hallucination, outdated information, jurisdictional, confidentiality, and source-quality risks
Practical activities
  • Mapping an existing Regulatory Compliance workflow and identifying AI opportunities
  • Comparing manual and AI-assisted compliance activities
  • Creating a Regulatory Compliance AI opportunity matrix

Scenarios

Regulatory Update to Compliance Implementation

Regulatory Update → Source Verification → Change Analysis → Applicability Assessment → Obligation Extraction → Policy & Control Mapping → Remediation Actions → Implementation Tracking

Participants use AI-assisted techniques to analyse a simulated regulatory change, identify affected obligations, map requirements to policies and controls, and prepare a structured implementation plan for authorised Compliance review.

Regulatory Obligations to Continuous Compliance Monitoring

Regulatory Obligations + Controls + Monitoring Results + Breaches + Reporting Deadlines + Remediation Data → AI Analysis → Compliance Gaps → Priority Actions → Automated Alerts → Dashboard → Governance Reporting

Participants design an AI-enabled Regulatory Compliance workflow that improves obligation visibility, monitoring, issue tracking, reporting readiness, and executive oversight while retaining all regulatory interpretations and compliance decisions with authorised professionals.

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