Role-Based Programme
RB1660

AI-Powered Enterprise Risk Management

Smarter Risk Identification, Assessment & Strategic Monitoring

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

Programme Objectives

  • Understand how AI can support Enterprise Risk Management across risk identification, assessment, monitoring, reporting, and decision support.
  • Explore practical prompting techniques for enterprise risk analysis, risk-register development, scenario review, emerging-risk identification, and management reporting.
  • Apply AI to organise risk information, identify patterns and dependencies, and prepare structured ERM outputs.
  • Identify opportunities to improve risk visibility, assessment consistency, monitoring efficiency, and executive reporting.
  • Recognise confidentiality, data quality, model limitations, governance requirements, and human-review responsibilities when using AI for Enterprise Risk Management.

Tools covered

Generative AI AssistantsAI-Assisted Risk IdentificationRisk Register SupportDocument IntelligenceSpreadsheet AnalysisScenario AnalysisRisk ReportingBasic Workflow Automation

Who should attend

  • Enterprise Risk Management Professionals
  • Risk Analysts
  • Risk Managers
  • Chief Risk Office Professionals
  • Business Risk Professionals
  • Internal Auditors
  • Governance, Risk & Compliance Professionals
  • Operational Risk Professionals
  • Strategic Risk Professionals
  • Control Assurance Professionals
  • Business Continuity Professionals
  • Risk Reporting Professionals
  • Enterprise Risk Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of risk management, governance, or business processes
  • Familiarity with risk registers, controls, risk assessments, or management reporting 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 Enterprise Risk Management
  • Identifying AI applications across risk identification, assessment, monitoring, and reporting
  • Understanding AI assistance versus risk-owner and management judgement
  • Recognising activities where validated evidence and human review remain mandatory
Practical activities
  • Mapping common ERM activities to potential AI applications
  • Comparing a traditional enterprise-risk task with an AI-assisted approach

Scenarios

Business Strategy to Enterprise Risk Register

Business Strategy → AI-Assisted Risk Identification → Risk Categories → Causes & Impacts → Existing Controls → Assessment → Risk Register

Participants use AI to analyse a sample business strategy, identify potential enterprise risks, structure them into a risk register, and prepare the output for professional review.

Key Risks to Executive Risk Brief

Risk Register + Emerging Signals → AI Analysis → Priority Risks → Interdependencies → Scenarios → Actions → Executive Brief

Participants use AI to consolidate enterprise-risk information, identify major themes and dependencies, and prepare a concise executive risk brief while retaining final risk decisions with authorised management.

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