Role-Based Programme
RB1670

AI-Powered Internal Controls & GRC

Smarter Governance, Control Assurance & Risk Oversight

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Apply AI across Internal Controls and GRC activities including governance, risk identification, control mapping, testing, issue management, and reporting.
  • Use AI-assisted techniques to analyse policies, procedures, risk registers, control descriptions, evidence, and GRC records more efficiently.
  • Develop structured workflows for control design assessment, operating-effectiveness review, issue remediation, compliance mapping, and management oversight.
  • Analyse GRC and control information to identify control gaps, duplicate controls, recurring exceptions, overdue actions, and areas requiring deeper review.
  • Apply responsible AI practices covering confidentiality, evidence quality, policy interpretation, control ownership, auditability, and human judgement.

Tools covered

Generative AI AssistantsGRC AnalyticsDocument IntelligenceSpreadsheet AnalysisControl Testing SupportPolicy & Compliance MappingRisk & Control MatricesIssue TrackingReporting AssistanceWorkflow Automation

Who should attend

  • Internal Controls Professionals
  • GRC Professionals
  • Risk & Control Managers
  • Internal Auditors
  • Compliance Professionals
  • Governance Professionals
  • Controls & Assurance Professionals
  • Risk Management Professionals
  • Process Control Professionals
  • SOX / Internal Control Professionals
  • Policy & Governance Professionals
  • Compliance Monitoring Professionals
  • Control Testing Professionals
  • Risk & Internal Audit Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of internal controls, GRC, audit, risk, or compliance activities
  • Familiarity with risk-control matrices, policies, procedures, evidence, or issue tracking is helpful
  • Basic spreadsheet and data-analysis skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, automation, and their role in GRC and control assurance
  • Identifying AI applications across governance, risk, controls, compliance, and issue management
  • Understanding AI assistance versus control-owner, auditor, compliance, and management judgement
  • Recognising limitations related to incomplete evidence, bias, policy context, and explainability
Practical activities
  • Mapping the Internal Controls & GRC lifecycle to AI-assisted activities
  • Identifying repetitive documentation, review, and monitoring tasks suitable for AI support
  • Comparing traditional and AI-assisted GRC workflows

Scenarios

Business Process to Risk & Control Matrix

Business Process → AI-Assisted Risk Identification → Control Mapping → Design Assessment → Evidence Requirements → Risk & Control Matrix → Management Review

Participants analyse a sample business process, identify key risks, map existing controls, assess control design, and create a structured Risk & Control Matrix for authorised review.

Control Exception to GRC Remediation Dashboard

Control Testing → Exceptions → Root-Cause Review → Issue Creation → Remediation Actions → Ownership & Due Dates → Monitoring → Management Dashboard

Participants use AI to organise control-testing results, identify recurring issues, structure remediation plans, and prepare a management-ready GRC dashboard showing open issues, owners, ageing, and priorities.

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