Artificial Intelligence in Insurance

Introduction

Artificial Intelligence (AI) is reshaping the insurance industry—revolutionizing how insurers assess risk, underwrite policies, manage claims, and engage with customers. The Artificial Intelligence in Insurance training course provides a comprehensive exploration of AI’s role across the entire insurance value chain, empowering professionals to strategically leverage these technologies for innovation, efficiency, and resilience.

Participants will explore cutting-edge developments in embedded insurance, data-driven personalization, and digital ecosystems, alongside practical applications like AI-powered fraud detection, predictive analytics, and automated underwriting. The training course also integrates critical actuarial, legal, and ESG (Environmental, Social, and Governance) perspectives, ensuring responsible and ethical deployment of AI in insurance.

Through expert-led sessions, case studies, and interactive exercises, attendees will develop the knowledge and tools needed to lead digital transformation initiatives and respond proactively to the evolving market landscape.

This GLOMACS Artificial Intelligence(AI) in Insurance training course will highlight:

• The transformative role of AI across underwriting, claims, and product development
• Practical applications such as fraud detection, predictive modelling, and real-time customer engagement
• The evolution of embedded insurance and AI-driven digital distribution
• Legal, regulatory, actuarial, and ethical considerations of AI in insurance
• ESG-aligned innovation through responsible AI practices
• Real-world case studies showcasing AI’s strategic impact in insurance ecosystems

Objectives

By the end of this Artificial Intelligence in Insurance training course, participants will be able to:

• Understand how AI is reshaping the modern insurance sector
• Analyse and interpret AI-based underwriting and risk models
• Implement AI tools to enhance claims processing and fraud detection
• Evaluate the legal, actuarial, and ESG considerations of AI integration
• Design AI-enabled, customer-centric insurance products and services

Training Methodology

The training course will use a dynamic mix of interactive lectures, real-life case studies, group discussions, and practical exercises to enhance learning and engagement. Expert facilitators will guide participants through AI applications using demonstrations and scenario-based analysis. Hands-on activities will reinforce key concepts and encourage critical thinking. Participants will also benefit from peer learning and collaborative problem-solving. The approach ensures both theoretical understanding and practical skill

Organisational Impact

Organizations will gain strategic advantages by equipping their teams with the skills to:

• Enhance pricing accuracy and risk selection with AI-driven analytics
• Improve claims operations through automation and early fraud detection
• Launch innovative insurance offerings using real-time data and personalization
• Strengthen data governance and regulatory compliance with AI transparency
• Advance ESG goals through AI-supported impact measurement and inclusion
• Drive digital transformation through ecosystem integration and AI tools

Personal Impact

Participants will return with a future-ready skillset that includes:

• Deep understanding of AI technologies relevant to the insurance industry
• Enhanced analytical and strategic capabilities in insurance operations
• Practical skills in applying AI to underwriting, claims, and product design
• Confidence in navigating compliance, ethics, and ESG responsibilities
• Career growth through mastery of emerging technologies in finance and insurance