Role-Based Programme
RB0051

ChatGPT for Risk & Internal Audit

Practical AI for Risk Analysis, Control Review & Audit Workflows

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational proficiency in using ChatGPT across practical Risk Management and Internal Audit activities.
  • Apply structured prompting techniques for risk identification, control review, audit planning, evidence analysis, and reporting.
  • Use ChatGPT to analyse policies, process documents, audit evidence, risk registers, control matrices, and structured datasets.
  • Improve efficiency in audit documentation, exception analysis, management communication, and follow-up activities.
  • Create repeatable AI-assisted risk and audit workflows while maintaining evidence traceability, confidentiality, professional scepticism, and human judgement.

Tools covered

ChatGPTGenerative AIPrompt EngineeringChatGPT SearchFile UploadsDocument AnalysisSpreadsheet & Data AnalysisProjects

Who should attend

  • Internal Auditors
  • Risk Management Professionals
  • Enterprise Risk Professionals
  • IT Auditors
  • Operational Risk Professionals
  • Risk & Control Professionals
  • Compliance Assurance Professionals
  • Audit Executives
  • Internal Control Professionals
  • Governance, Risk & Compliance Professionals
  • Risk Analysts
  • Audit Managers
  • Process Assurance Professionals
  • Risk & Audit Team Leaders

Prerequisites & Participant Readiness

  • Basic understanding of risk, controls, governance, or internal-audit activities
  • Familiarity with policies, process documents, risk registers, controls, or audit evidence is helpful
  • Basic spreadsheet and document-handling knowledge
  • Basic computer and internet proficiency
  • No programming knowledge required
  • No previous ChatGPT experience required
  • Participants should use anonymised or organisation-approved audit and risk information during practical exercises

TOC Modules

Concepts
  • Understanding ChatGPT and Generative AI from a Risk and Internal Audit perspective
  • Identifying suitable applications across planning, control review, evidence analysis, reporting, and follow-up
  • Understanding AI assistance versus auditor judgement, professional scepticism, and accountability
  • Recognising hallucinations, unsupported conclusions, confidentiality risks, and evidence-verification requirements
Practical activities
  • Exploring ChatGPT through common Risk and Internal Audit activities
  • Comparing simple and structured prompts for the same audit requirement
  • Identifying audit tasks where AI can assist without replacing professional conclusions

Scenarios

Business Process to Risk-Control Review

Process Document → ChatGPT Analysis → Risks → Existing Controls → Risk-Control Matrix → Potential Gaps → Audit Questions → Human Validation

Participants analyse a sample business process and convert approved information into a structured risk-and-control review, improving audit preparation while retaining auditor ownership of control conclusions.

Audit Data to Management Finding

Audit Dataset → Exception Analysis → Pattern Identification → Supporting Evidence → Draft Finding → Recommendation → Management Summary

Participants analyse sample audit information to identify exceptions and recurring patterns, then convert validated observations into a structured audit finding and management-ready summary.

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