Role-Based Programme
RB1673

AI-Powered Operational Risk

Smarter Risk Identification, Incident Analysis & Control Monitoring

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

Programme Objectives

  • Understand how AI can support Operational Risk activities across risk identification, incident analysis, control monitoring, issue tracking, and reporting.
  • Apply AI-assisted techniques to analyse process risks, operational events, loss data, control information, and supporting documents.
  • Use structured prompting for operational-risk assessment, incident review, control-gap analysis, root-cause questioning, and management reporting.
  • Explore AI-supported methods for identifying recurring operational issues, control weaknesses, emerging risk themes, and overdue actions.
  • Build responsible AI-assisted Operational Risk workflows while maintaining confidentiality, evidence quality, professional judgement, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisOperational Risk AnalysisIncident & Loss Data AnalysisControl Monitoring AIWorkflow Automation

Who should attend

  • Operational Risk Analysts
  • Operational Risk Executives
  • Risk Analysts
  • Risk Managers
  • Enterprise Risk Management Professionals
  • Internal Auditors
  • Control Assurance Professionals
  • Business Risk Professionals
  • Governance, Risk & Compliance Professionals
  • Process Risk Professionals
  • Internal Control Professionals
  • Incident Management Professionals
  • Business Continuity Support Professionals
  • Operational Risk Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Operational Risk, Risk Management, Internal Audit, or business controls
  • Familiarity with incidents, process risks, controls, loss events, or risk registers 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 Operational Risk
  • Identifying AI applications across risk assessment, incident review, control monitoring, and reporting
  • Understanding AI assistance versus risk-professional and management judgement
  • Recognising limitations such as hallucinations, incomplete evidence, bias, and unsupported conclusions
Practical activities
  • Mapping a typical Operational Risk workflow
  • Identifying repetitive and information-intensive tasks suitable for AI assistance
  • Comparing a traditional risk activity with an AI-assisted approach

Scenarios

Business Process to Operational Risk Assessment

Business Process → AI-Assisted Risk Identification → Risk Events → Controls → KRIs → Gaps → Risk Assessment → Management Review

Participants use AI to analyse a sample process, identify operational risks, map controls, develop monitoring indicators, and prepare a structured risk assessment for authorised review.

Incident Data to Control Improvement

Operational Incidents → AI Analysis → Recurring Themes → Loss Patterns → Root-Cause Questions → Control Review → Corrective Actions → Management Report

Participants use AI to analyse sample incident and loss-event data, identify recurring operational issues, and prepare a structured control-improvement and follow-up 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.