Role-Based Programme
RB1669

AI-Powered Internal Controls & GRC

Smarter Control Assessment, Governance & Risk Monitoring

IMAGE REQUIRED
Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Internal Controls and GRC activities across control documentation, assessment, monitoring, governance, risk, and compliance coordination.
  • Apply AI-assisted techniques to analyse policies, process documentation, risk-control matrices, control evidence, issues, and remediation actions.
  • Use structured prompting for control identification, gap analysis, testing support, issue review, and management reporting.
  • Explore AI-supported approaches for identifying control weaknesses, recurring issues, overdue actions, and governance gaps.
  • Build responsible AI-assisted GRC workflows while maintaining confidentiality, evidence integrity, accountability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisControl Assessment AIGRC AnalysisIssue & Action TrackingWorkflow Automation

Who should attend

  • Internal Control Professionals
  • GRC Analysts
  • Risk & Control Executives
  • Internal Auditors
  • Control Assurance Professionals
  • Governance Professionals
  • Risk Management Professionals
  • Compliance Professionals
  • Process Control Professionals
  • Business Risk Professionals
  • Control Testing Professionals
  • Risk & Compliance Managers
  • Audit Managers
  • Internal Controls & GRC Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Internal Controls, Governance, Risk, Compliance, or Internal Audit
  • Familiarity with policies, procedures, risk-control matrices, control evidence, or issue trackers is helpful
  • Basic computer, spreadsheet, and document-handling skills
  • No AI or programming knowledge required
  • No previous AI training required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Internal Controls and GRC
  • Identifying AI applications across governance, risk, compliance, control assessment, and reporting
  • Understanding AI assistance versus control-owner, auditor, and management judgement
  • Recognising limitations such as hallucinations, incomplete evidence, bias, and unsupported conclusions
Practical activities
  • Mapping a typical Internal Controls & GRC workflow
  • Identifying repetitive and information-intensive activities suitable for AI assistance
  • 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 Objectives → Existing Controls → Gap Analysis → Risk-Control Matrix → Management Review

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

Control Exceptions to GRC Remediation Report

Control Testing Results → Exceptions → AI-Assisted Issue Analysis → Root-Cause Questions → Remediation Actions → Ownership → Follow-Up → Management Report

Participants use AI to organise sample control exceptions, structure issues and remediation actions, track follow-up, and prepare a concise GRC management report.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.