Role-Based Programme
RB1671

AI-Powered Internal Controls & GRC

Intelligent Governance, Risk, Compliance & Control Assurance

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

Programme Objectives

  • Develop advanced capability to apply AI across governance, risk, compliance, internal controls, assurance, and remediation activities.
  • Use AI to analyse policies, processes, risk registers, control libraries, compliance obligations, audit evidence, findings, and management reports.
  • Build repeatable AI-assisted workflows for control documentation, risk-control mapping, testing support, issue management, compliance monitoring, and executive reporting.
  • Apply AI to identify control gaps, overlaps, recurring exceptions, emerging risk themes, weak documentation, and areas requiring further professional review.
  • Design responsible AI-enabled GRC workflows with appropriate controls for confidentiality, evidence integrity, explainability, accountability, auditability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisGRC AnalyticsRisk & Control MappingControl Testing SupportCompliance MonitoringReporting & Dashboard ToolsKnowledge Management AIWorkflow Automation

Who should attend

  • GRC Managers
  • Internal Controls Managers
  • Internal Controls Professionals
  • Risk & Control Analysts
  • Governance Professionals
  • Compliance Professionals
  • Enterprise Risk Professionals
  • Internal Auditors
  • Control Assurance Professionals
  • Risk Managers
  • SOX / Internal Control Professionals
  • Process Risk Professionals
  • Governance & Assurance Professionals
  • GRC Analysts
  • Internal Controls & GRC Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of governance, risk, compliance, internal controls, audit, or assurance activities
  • Familiarity with risk registers, control matrices, policies, procedures, testing, findings, or remediation tracking
  • Basic proficiency with spreadsheets, documents, data interpretation, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, Document AI, and workflow automation
  • Mapping AI opportunities across governance, risk, compliance, and internal control activities
  • Understanding AI assistance versus professional judgement, control ownership, and accountability
  • Recognising confidentiality, hallucination, evidence-quality, and model-risk concerns
Practical activities
  • Mapping an existing GRC lifecycle and identifying AI opportunities
  • Comparing manual and AI-assisted GRC activities
  • Creating an AI opportunity matrix based on value, risk, complexity, and feasibility

Scenarios

Business Process to Integrated Risk & Control Assessment

Business Process → Risk Identification → Control Mapping → Control Design Review → Evidence Testing → Deficiencies → Remediation Plan → Management Report

Participants use AI-assisted techniques to analyse a simulated business process, identify risks, map and assess controls, review evidence, structure deficiencies, and prepare a management-ready control assessment.

GRC Data to Continuous Controls Monitoring Workflow

Risk Register + Control Library + Compliance Obligations + Testing Results + Audit Findings + Remediation Data → AI Analysis → Control Gaps → Emerging Risks → Automated Follow-Up → Dashboard → Committee Reporting

Participants design an AI-enabled GRC workflow that consolidates risk, compliance, controls, and assurance information, highlights recurring weaknesses and overdue actions, and improves management visibility while retaining professional judgement and authorised control decisions.

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