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Coursera

GenAI in Insurance: Automating Claims & Risk Mitigation

Coursera via Coursera

Overview

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Unlock the future of insurance by diving into AI-driven claims solutions and transformative risk management strategies. In a recent IBM study, 77% of insurance executives admitted that they need to adopt GenAI quickly, but customers and insurers don’t exactly see eye-to-eye on how this technology should be utilized. Between legacy systems, siloed data, and rising customer expectations, there’s a lot to untangle. That’s where this course comes in. We’ll take you through the essentials of GenAI and how it’s revolutionizing claims processing, underwriting, and customer experience. You’ll explore real-world case studies, test-drive practical GenAI tools, and discover how to design customer-centric, GenAI-powered insurance products and services that make a difference. This course is designed for insurance professionals, data analysts, and business leaders seeking to harness the power of Generative AI to transform key industry functions. Whether you're involved in claims processing, risk management, or underwriting, you'll gain valuable insights into how GenAI can drive innovation and efficiency. The content is tailored to support forward-thinking professionals ready to enhance service delivery and develop customer-centric insurance solutions using emerging technologies. To get the most out of this course, learners should have a basic understanding of the insurance industry and its operational frameworks. Familiarity with digital tools and commonly used software in insurance processes is recommended. While a foundational knowledge of artificial intelligence concepts is helpful, the course is designed to be accessible to those who are motivated to explore new technologies and adapt to the rapidly evolving digital landscape. By the end of this course, learners will be able to define how GenAI and prompt engineering function and how they apply to the insurance sector. They will analyze how GenAI enhances risk assessment, streamlines underwriting processes, and supports strategic decision-making. Learners will also apply GenAI to create personalized insurance products and develop automated solutions for key business functions such as decision support, cost management, and claims resolution.

Syllabus

  • Lesson 1: GenAI in Insurance- Automating Claims & Risk Mitigation
    • In this course, you’ll explore how Generative AI is transforming the insurance industry by enhancing claims processing, underwriting, and risk management. Through real-world case studies and hands-on experience with GenAI tools, you’ll learn to design customer-centric insurance solutions, automate core processes, and improve decision-making. You’ll also examine the challenges of integrating AI into legacy systems and develop strategies to align technological innovation with customer expectations.
  • Lesson 2: Insurance Underwriting with GenAI
    • In this module, you’ll learn how generative AI is transforming insurance underwriting by streamlining processes, improving accuracy, and enhancing customer experiences. You’ll focus on practical applications such as creating personalized insurance profiles, tailoring policy recommendations, and automating risk assessment to boost efficiency. Through expert insights, real-world case studies, and hands-on demonstrations, you’ll gain the skills to evaluate GenAI’s impact on underwriting decision-making and business outcomes—while addressing key considerations like compliance, transparency, and ethical use.
  • Lesson 3: Decision Support and Insurance Claims Processing
    • In this module, you’ll learn how to leverage generative AI to enhance decision support and streamline insurance claims processing. You’ll focus on real-world applications such as developing personalized insurance products, automating expense tracking, and optimizing claim closure workflows. Through guided instruction, industry examples, and practical exercises, you’ll gain the skills to integrate GenAI into decision-making processes that improve efficiency, accuracy, and customer satisfaction—while ensuring compliance and operational transparency.

Taught by

Tom Themeles and Starweaver

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