Insurance Fraud Detection: Practical Workshop

Course Introduction

This course focuses on one question: how do teams in underwriting, claims and risk-transfer operations apply Insurance Fraud Detection consistently and safely under real constraints? Five days of discussion, exercises and case work provide practical answers you can adapt to your own organisation.

Training Objectives

• 01Build a shared vocabulary and framework for Insurance Fraud Detection that your whole team can use
• 02Apply proven methods for Insurance Fraud Detection to realistic scenarios drawn from underwriting, claims and risk-transfer operations
• 03Anticipate the failure points and compliance issues that most often affect Insurance Fraud Detection
• 04Communicate Insurance Fraud Detection decisions clearly to colleagues, clients and management
• 05Prepare a personal action plan to apply Insurance Fraud Detection in your own organisation

What You Will Take Away

• A ready-to-use template pack for daily work
• A checklist of common pitfalls and how to avoid them
• Benchmarks and KPIs to track your own results

Who Should Attend

• Insurance Underwriters & Officers
• Claims Adjusters & Handlers
• Risk & Compliance Officers
• Bancassurance & Sales Teams

Prerequisites: Open to all levels; participants are encouraged to bring a real work challenge.

Training Methodology

This is a hands-on workshop: short briefings followed by extended exercises, simulations and group activities, with most time spent applying rather than listening. Case material and examples are drawn from underwriting, claims and risk-transfer operations.

Day-by-Day Programme (5 Days)

• Day 1
  Foundations and context

  Key terms, roles and the regulatory background behind Insurance Fraud Detection, with examples from underwriting, claims and risk-transfer operations.

• Day 2
  Methods and standards in depth

  A detailed look at frameworks, codes and decision methods used in Insurance Fraud Detection.

• Day 3
  Practical workshop day

  Group exercises and simulations that put Insurance Fraud Detection techniques to work.

• Day 4
  Case-study day

  Real-world cases, failure analysis and improvement options related to Insurance Fraud Detection.

• Day 5
  Action plan and assessment

  Review, individual action plans and a short assessment to confirm readiness to apply Insurance Fraud Detection.

Upcoming Sessions