Artificial Intelligence (AI) in Insurance
Revolutionizing Risk Management and Customer Experience.
23 -27 March 2026
Sandton, Johannesburg South Africa
Cost per Delegate
R19,999.00
Introduction
The insurance industry is undergoing a profound transformation driven by Artificial Intelligence (AI). Traditional insurance models—largely dependent on manual processes, historical data, and reactive decision-making—are rapidly giving way to intelligent, data-driven systems that enhance accuracy, efficiency, and customer satisfaction.
This course provides a comprehensive introduction to how AI technologies such as machine learning, predictive analytics, natural language processing (NLP), and automation are reshaping the insurance value chain. Participants will explore how AI improves risk assessment, underwriting, fraud detection, claims management, pricing models, and customer engagement, while also addressing ethical, regulatory, and data-privacy considerations.
Through practical case studies and real-world applications, the course bridges the gap between theory and implementation, equipping participants with the knowledge to confidently engage with AI solutions and contribute to digital transformation initiatives within insurance organizations.
Objectives:
By the end of this course, participants will be able to:
• Understand AI Fundamentals in Insurance
• Enhance Risk Management and Underwriting
• Improve Claims Processing and Fraud Detection
• Transform Customer Experience
• Leverage Predictive Analytics for Decision-Making
• Address Ethical, Regulatory, and Governance Issues
• Support Digital Transformation Initiatives
Who Should Attend?
This course is designed for professionals involved in insurance operations, strategy, compliance, and technology, including:
• Insurance Executives and Senior Managers
• Underwriters and Risk Analysts
• Claims Managers and Claims Officers
• Actuaries and Pricing Analysts
• Fraud Detection and Compliance Officers
• Customer Experience and Digital Transformation Teams
• IT, Data, and Systems Analysts in Insurance
• Regulators and Supervisory Authority Personnel
• Consultants and Professionals Supporting Insurance Institutions
course Outline
1. Introduction to AI in Insurance
• Overview of AI applications in insurance
• Benefits of AI adoption: improved accuracy, efficiency, and customer experience
2. AI in Risk Assessment and Underwriting
• Predictive modelling for risk evaluation
• Machine learning for policy pricing and premium calculation
• AI-driven risk selection and portfolio optimization
3. AI-Powered Claims Processing and Fraud Detection
• Automated claims processing and adjudication
• AI-driven fraud detection and prevention
• Improved claims settlement and customer satisfaction
4. AI-Driven Customer Engagement and Personalization
• Chatbots and virtual assistants for customer support
• Personalized marketing and policy recommendations
• AI-powered customer segmentation and profiling
5. AI and Data Analytics in Insurance
• Data management and governance for AI applications
• AI-driven data analytics for business insights and decision-making
• Data privacy and security considerations
6. AI and Machine Learning for Actuarial Science
• Introduction to machine learning for actuaries
• AI applications in actuarial modelling and risk assessment
• Future of actuarial science with AI
7. Implementing AI in Insurance - Best Practices
• Change management and organizational readiness
• AI project management and implementation strategies
• Collaboration with external stakeholders (e.g., insurtechs, regulators)
8. Regulatory and Ethical Considerations
• Regulatory landscape for AI in insurance
• Ethical considerations: bias, transparency, and accountability
• Industry standards and guidelines for AI adoption
9. Case Studies and Group Exercises
• Real-world examples of AI in insurance
• Group exercises to apply AI concepts to insurance scenarios
10. Conclusion and Next Steps
• Recap of key takeaways
• Action plan for implementing AI in insurance
• Ongoing support and resources for continued learning and development.
End of the Workshop
For Training arrangements call us on the detail below
TANZANIA: +255 749 50 26 78
SOUTH AFRICA: +27 694 31 79 73
KENYA: +255 749 50 26 78
DUBAI: +27 694 31 79 73
