Role-Based Programme
RB1697

AI-Powered Fraud Risk & Financial Crime

Smarter Detection, Investigation Support & Risk Monitoring

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

Programme Objectives

  • Understand how AI can support Fraud Risk and Financial Crime activities across detection, triage, investigation support, documentation, monitoring, and reporting.
  • Apply AI-assisted techniques to analyse transactions, cases, documents, alerts, and behavioural patterns using supplied information.
  • Use structured prompting for fraud-risk identification, case summarisation, red-flag analysis, investigation planning, and management reporting.
  • Explore AI-supported approaches for identifying anomalies, recurring fraud indicators, suspicious patterns, and control weaknesses.
  • Build responsible AI-assisted Fraud Risk and Financial Crime workflows while maintaining confidentiality, evidence integrity, legal requirements, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisFraud Pattern AnalysisCase Documentation AIWorkflow Automation

Who should attend

  • Fraud Risk Analysts
  • Fraud Investigators
  • Financial Crime Analysts
  • Risk Analysts
  • Internal Auditors
  • Compliance Professionals
  • AML Operations Professionals
  • Transaction Monitoring Professionals
  • Fraud Prevention Executives
  • Operational Risk Professionals
  • Investigation Support Professionals
  • Control Assurance Professionals
  • Risk Managers
  • Fraud Risk & Financial Crime Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Fraud Risk, Financial Crime, Risk Management, Audit, or Compliance activities
  • Familiarity with transaction records, alerts, cases, investigations, or control documentation 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 Fraud Risk and Financial Crime
  • Identifying AI applications across alert review, case analysis, documentation, investigation support, and reporting
  • Understanding AI assistance versus investigator, compliance, legal, and management judgement
  • Recognising limitations such as false positives, hallucinations, bias, and incomplete evidence
Practical activities
  • Mapping a typical fraud-risk and financial-crime workflow
  • Identifying repetitive and information-intensive activities suitable for AI assistance
  • Comparing a manual case-review activity with an AI-assisted approach

Scenarios

Suspicious Activity Alert to Investigation Plan

Alert → Transaction Review → AI-Assisted Pattern Analysis → Red Flags → Evidence Gaps → Investigation Questions → Escalation Recommendation

Participants use AI to analyse a sample suspicious-activity case, identify relevant indicators, organise available evidence, and prepare an investigation plan without treating preliminary signals as confirmed fraud.

Fraud Cases to Control Improvement

Case Data → AI Analysis → Recurring Fraud Patterns → Process Weaknesses → Control Review → Corrective Actions → Management Report

Participants use AI to analyse sample fraud cases, identify recurring themes and possible control weaknesses, and prepare a structured management report with follow-up actions for authorised review.

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