Role-Based Programme
RB1703

AI for Risk & Internal Audit

Advanced Risk Intelligence, Audit Analytics & Intelligent Assurance

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across enterprise risk management, internal audit, control assessment, evidence review, reporting, and assurance activities.
  • Use AI to analyse risk registers, policies, controls, audit evidence, transactional data, management reports, regulatory information, and operational documentation.
  • Build repeatable AI-assisted workflows for risk identification, audit planning, control testing support, issue analysis, corrective-action tracking, and management reporting.
  • Apply AI to identify emerging risks, anomalies, control gaps, recurring findings, and patterns requiring further professional investigation.
  • Design responsible AI-enabled Risk and Internal Audit workflows with appropriate controls for confidentiality, independence, evidence integrity, explainability, auditability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisRisk AnalyticsAudit AnalyticsData VisualisationKnowledge Management AIWorkflow AutomationReporting & Dashboard Tools

Who should attend

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

Prerequisites & Participant Readiness

  • Working knowledge of Risk Management, Internal Audit, internal controls, governance, or assurance activities
  • Familiarity with risk registers, audit programmes, controls, findings, evidence, and management reporting
  • Basic proficiency with spreadsheets, documents, data interpretation, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, Document AI, automation, and intelligent assurance
  • Mapping AI opportunities across Risk Management and Internal Audit
  • Understanding AI assistance versus professional judgement, independence, and accountability
  • Identifying high-volume, evidence-intensive, analytical, and repetitive activities suitable for AI
Practical activities
  • Mapping existing Risk and Internal Audit processes against AI use cases
  • Comparing manual and AI-assisted assurance workflows
  • Creating an AI opportunity matrix based on value, complexity, and risk

Scenarios

Business Process to AI-Assisted Risk & Audit Assessment

Business Process → Risk Identification → Risk Scoring → Control Mapping → Evidence Review → Data Analytics → Findings → Management Report

Participants use AI-assisted techniques to evaluate a simulated business process, identify and prioritise risks, assess controls, review evidence, analyse sample data, and prepare a structured management-ready audit summary.

Audit Findings to Continuous Assurance Workflow

Audit Findings + Risk Register + Control Data + Action Tracker → AI Analysis → Recurring Issues → Priority Risks → Automated Follow-Up → Dashboard → Committee Reporting

Participants design an AI-enabled continuous assurance workflow that consolidates risk and audit information, improves remediation tracking, highlights recurring concerns, and provides management visibility while retaining professional judgement and independent review.

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