Role-Based Programme
RB1424

AI-Powered Audit & Internal Controls

Smarter Risk Review, Control Testing & Audit Reporting

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

Programme Objectives

  • Understand how AI can support Audit and Internal Controls across planning, control review, evidence analysis, exception tracking, and reporting.
  • Explore practical prompting techniques for audit scope, control descriptions, testing support, issue summaries, and management communication.
  • Apply AI to organise audit information, identify patterns, structure working papers, and prepare clear assurance outputs.
  • Identify opportunities to improve audit efficiency, control visibility, documentation consistency, and follow-up discipline.
  • Recognise evidence integrity, confidentiality, professional scepticism, governance, and human-review responsibilities when using AI.

Tools covered

Generative AI AssistantsAI-Assisted Audit PlanningControl DocumentationRisk & Exception AnalysisEvidence SummarisationAudit Working PapersManagement ReportingBasic Workflow Automation

Who should attend

  • Internal Auditors
  • Audit Executives
  • Audit Analysts
  • Internal Control Professionals
  • Finance Control Professionals
  • Risk & Control Analysts
  • Compliance Auditors
  • Financial Control Analysts
  • Process Control Professionals
  • Internal Audit Managers
  • Finance Managers
  • Governance & Assurance Professionals
  • Audit & Internal Controls Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of audit, finance, or internal-control concepts
  • Familiarity with risks, controls, testing, evidence, or audit documentation 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 audit and control environments
  • Identifying AI applications across audit planning, control review, evidence analysis, documentation, and reporting
  • Understanding AI assistance versus Auditor and Control professional judgement
  • Recognising assurance activities requiring validated evidence, professional scepticism, and authorised review
Practical activities
  • Mapping common Audit and Internal Controls activities to potential AI applications
  • Comparing a traditional audit task with an AI-assisted approach

Scenarios

Business Process to Audit & Control Review

Process Information → AI-Assisted Risk Identification → Control Mapping → Evidence Requirements → Test Questions → Audit Review Plan

Participants use AI to organise a sample business process, identify potential risk areas, map available controls, and prepare a structured audit review plan while retaining all assurance conclusions with authorised auditors.

Audit Exceptions to Management Action Tracker

Audit Evidence → Exceptions → AI-Assisted Finding Structure → Risk & Impact → Management Action → Owner → Due Date → Follow-Up Report

Participants use AI to organise sample audit exceptions into structured findings and action trackers while keeping final findings, ratings, and assurance decisions with authorised Audit and Finance professionals.

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