Audience
This course is designed for insurance executives, underwriting managers, claims directors, and digital transformation leaders seeking to modernise operations with AI. It suits non-technical professionals who want to understand how AI can streamline processes, enhance customer trust, reduce risk, and increase profitability within the insurance ecosystem.

Course Description
Artificial Intelligence is redefining how insurers assess risk, detect fraud, and deliver personalised customer experiences. This self-paced course equips business leaders with the knowledge to strategically implement AI across underwriting, claims management, and customer service.

Participants will learn how to identify AI-ready processes, use data ethically, and leverage automation to improve decision accuracy and efficiency.

Through real-world examples, the course reveals how AI tools can accelerate response times, support predictive analytics, and improve customer satisfaction while maintaining compliance and transparency.

By the end, learners will have a practical understanding of how to lead AI adoption that drives growth, strengthens trust, and positions their organisation for the future of insurance.

Benefits

• Enhance operational efficiency and reduce manual workload through intelligent automation.

• Improve underwriting accuracy and claims handling speed with AI-powered insights.

• Detect and prevent fraud more effectively using advanced analytics.

• Strengthen customer loyalty through personalised, proactive services.

• Build organisational readiness for AI integration and regulatory compliance.

Learning Outcomes
By completing this course, participants will be able to:

• Understand the key AI applications reshaping the insurance industry.

• Identify high-impact, AI-ready workflows in underwriting, claims, and customer engagement.

• Apply AI solutions to improve decision-making, risk assessment, and customer experience.

• Lead ethical and transparent AI adoption within insurance operations.

• Measure and communicate the value and ROI of AI initiatives.

Estimated Duration: 45–60 minutes
Format: Self-paced learning with interactive reflections and practical frameworks.