Role-Based Programme
RB1668

AI-Powered Internal Controls & GRC

Smarter Control Assessment, Governance & Compliance Monitoring

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Internal Controls and GRC activities across control documentation, governance, compliance monitoring, issue tracking, and reporting.
  • Explore practical prompting techniques for control reviews, policy analysis, risk-control mapping, evidence summaries, and GRC documentation.
  • Apply AI to organise control information, identify potential gaps, summarise evidence, and prepare structured governance and assurance outputs.
  • Identify opportunities to improve control visibility, documentation consistency, monitoring efficiency, and management reporting.
  • Recognise confidentiality, evidence integrity, regulatory requirements, professional judgement, and human-review responsibilities when using AI.

Tools covered

Generative AI AssistantsAI-Assisted Control AnalysisDocument IntelligenceGRC Documentation SupportSpreadsheet AnalysisPolicy & Procedure ReviewIssue TrackingBasic Workflow Automation

Who should attend

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

Prerequisites & Participant Readiness

  • Basic understanding of internal controls, risk, governance, compliance, or audit
  • Familiarity with policies, procedures, controls, evidence, or issue tracking is helpful
  • Basic computer and spreadsheet skills
  • No AI or programming knowledge required
  • No previous Generative AI experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Internal Controls and GRC
  • Identifying AI applications across control documentation, governance, compliance, and assurance
  • Understanding AI assistance versus control-owner, auditor, risk, and compliance judgement
  • Recognising activities where evidence, approvals, and human validation remain mandatory
Practical activities
  • Mapping common Internal Controls and GRC activities to potential AI applications
  • Comparing a traditional control-review task with an AI-assisted approach

Scenarios

Business Process to Risk & Control Matrix

Business Process → AI-Assisted Risk Identification → Control Mapping → Ownership → Evidence → Potential Gaps → Review Summary

Participants use AI to analyse a sample business process, structure risks and controls, identify potential gaps, and prepare a concise risk-and-control matrix for professional review.

Control Testing to GRC Management Report

Control Evidence → AI-Assisted Review → Exceptions → Control Issue → Root Cause → Remediation Action → Management Summary

Participants use AI to organise sample control-testing information, structure exceptions and remediation actions, and prepare a concise GRC management update while retaining final assurance conclusions with authorised professionals.

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