Generative AI in Insurance – Customer Service, Claims, and Fraud Detection
Why you should not miss this Masterclass
This Masterclass provides an in-depth exploration of the strategic use of generative AI in customer service, claims processing, and fraud detection. Participants will learn how AI-powered tools can enhance customer engagement, streamline claims handling, and mitigate fraudulent activities. Designed for managers, this session equips attendees with actionable insights to leverage AI for improving customer care, operational efficiency, and fraud prevention.
Agenda:
1. Introduction to Generative AI and LLM in Insurance
• Overview of AI’s impact on the insurance sector.
• Key concepts in generative AI and how it differs from traditional AI models.
2. Transforming Customer Service with Generative AI
• AI-Powered Chatbots: Automate routine inquiries and provide real-time assistance.
• Case Study: In China, AI-driven customer service reduced human workload by 50%.
• Personalization: Deliver tailored policy recommendations based on customer data.
• Case Study: A U.S. insurer uses AI to customize policy offerings based on customer profiles.
3. Automating Claims Processing
• AI in Claims Handling: Streamline claims approval by automating document review and flagging inconsistencies.
• Case Study: A U.S. insurer deployed AI, speeding up claim settlements by 40%.
• Document Summarization: AI to process/summarize insurance documents, simplifying case reviews for staff
4. Fraud Detection with AI
• Fraud Prevention Models: Analyze patterns and flag suspicious activities in real time.
• Case Study: An insurer in China uses AI for fraud detection, reducing fraudulent claims by 30%.
5. Rack and Stack Activity: Implementing AI in Insurance
• Evaluate different AI use cases in the insurance sector and prioritize them.
• Identify gaps in infrastructure and workforce skills needed for AI implementation.
• Design an operational model and infrastructure roadmap for integrating AI effectively.
6. Ethical Considerations and Future Trends
• Address issues such as bias, transparency, and regulatory compliance.
• Discuss future advancements in AI and their potential impact on the insurance industry.
7. Conclusion and Q&A Session
• Open discussion and question/answer session to address specific challenges and applications.
This Masterclass will also include breakout rooms and quizzes, designed to make the session more interactive, engaging and enjoyable for the audience.
Bonus: All participants will receive an official Participation Certificate from Qorus, adding value to their professional credentials.
Target Audience:
Insurance professionals, customer service officers, and technology and innovation leaders in insurance companies.
Platform:
Microsoft Teams
Pricing:
Qorus members: €1500 per participant
Non-members: €2250 per participant
(Masterclass reserved for Financial Institutions)
Note: A special discount of 25% is applied in case of registration before 15 January 2025.
For registration or more information, please send an email to:
olga@qorusglobal.com