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AI-Powered Insurance and Healthcare: Waterdrop Inc. Included in Harvard Business School Case Collection

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Waterdrop Inc. (NYSE: WDH), a leading Chinese insurtech and healthcare platform, has been featured in the prestigious Harvard Business School Case Collection. The case study, titled "Waterdrop: AI-Powered Insurance and Healthcare," examines the company's successful implementation of AI technology across its business ecosystem.

The company's diverse portfolio includes Waterdrop Medical Crowdfunding, which has helped 3.47 million patients through support from 475 million people, and Waterdrop Insurance Marketplace, offering over 1,000 insurance products with a 95% customer satisfaction rate. Through its "All in AI" strategy, Waterdrop achieved a 120% increase in net profit in 2024, while its AI solutions have improved operational efficiency by reducing manual review costs by 50% and increasing patient enrollment efficiency by 45%.

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BEIJING, July 18, 2025 /PRNewswire/ -- The business innovation case of Waterdrop Inc. (NYSE:WDH), Waterdrop: AI-Powered Insurance and Healthcare, was recently included in Harvard Business School (HBS)'s Case Collection, receiving recognition from this world-renowned academic institution. Developed by Professor Li Qi from the School of Management and Economics at The Chinese University of Hong Kong (Shenzhen), the case examines how Waterdrop has applied advanced AI technologies to drive systematic innovation and strategic transformation amid profound changes in the insurance and healthcare sectors. By fostering a diversified health protection ecosystem and enhancing operational efficiency, Waterdrop has achieved a balance between social and commercial value, offering a replicable "China solution" for global insurtech development.

As a gold standard in international teaching cases, the HBS Case Collection curates the world's most exemplary business practices across industries, covering key areas such as strategic management, organizational behavior, and digital transformation. Serving as an essential reference for global business education and corporate research, the Case Collection maintains rigorous selection criteria.

Waterdrop founder and CEO Shen Peng said, "The recognition validates our unwavering commitment to applying technology for public good. Since its inception, Waterdrop continues to assist families in medical distress through Waterdrop Medical Crowdfunding and raise awareness about enhanced protection with health insurance through Waterdrop Insurance Marketplace. Today, we are reshaping the insurance and healthcare service ecosystem with AI. Over the past nine years, we have been committed to bringing insurance and healthcare service to billions through technology."

"All in AI" Strategy Delivers Tangible Results, with AI Empowering Full Business Lines

The HBS case highlights Waterdrop as a leading insurtech and healthcare platform in China, dedicated to providing health protection solutions. Its ecosystem—spanning Waterdrop Medical Crowdfunding, Waterdrop Insurance Marketplace, E-Find Patient Recruitment, Waterdrop Financial, and Lugo Visa—integrates insurance coverage and health services under a diverse and innovation-driven approach. With an annual R&D investment of nearly 300 million yuan (approx. US$42 million), Waterdrop has built a comprehensive AI application framework for insurance scenarios, backed by over 100 technology patents.

On Waterdrop Medical Crowdfunding, a new medical fundraising campaign is initiated online by a family in need every 53 seconds. To date, 475 million people have supported over 3.47 million patients through the AI-driven platform. This social impact earned widespread recognition, culminating in Waterdrop Medical Crowdfunding's designation by the Ministry of Civil Affairs of the People's Republic of China as one of the government recognized online personal help-seeking service platforms in mainland China.

Waterdrop Insurance Marketplace drives product innovation through technology, offering over 1,000 inclusive and affordable insurance products tailored for pre-existing conditions, seniors, and expectant mothers. It has provided comprehensive insurance planning services to 38,000 families, with customer satisfaction exceeding 95%.

Through the use of AI, E-Find Patient Recruitment has achieved significant operational efficiency improvements, with a over 30% increase in the numbers of strategically aligned projects and partnerships established with 80% of the world's top 10 pharmaceutical companies. The platform has boosted patient enrollment efficiency by 45%, demonstrating Waterdrop's technological contributions to the healthcare sector. With a competitive insurance product and service system in Hong Kong, Waterdrop Financial is expanding rapidly through its robust sales network.

AI as a Growth Engine: Driving Efficiency and Creating Value

By applying advanced AI models, Waterdrop's net profit attributable to shareholders surged nearly 120% in 2024. In 2025, the company will double down on its "All in AI" strategy, integrating AI across all business lines to unlock new growth. Its proprietary LLM, Waterdrop Guardian AI Insurance Expert, now supports end-to-end processes, including sales assistance, customer service, underwriting, and quality control.

The Waterdrop Guardian AI Insurance Expert delivers significant efficiency gains in sales support and process optimization. The AI Agent, equipped with multimodal interaction capabilities, including voice and text, can autonomously handle consultations for insurance products like casualty and medical insurance. The AI, which engages users for up to 50 minutes per session with an average response time of just 2 seconds, outperforms entry-level human agents in service efficiency.

In terms of customer service, Waterdrop launched Baoxiaohui, an AI-powered virtual assistant covering policy inquiries, policy management, and product Q&A, among other key service scenarios. Equipped with cutting-edge LLM capabilities, it accurately detects user emotions, delivers 24/7 real-time responses, and is poised to reduce case escalation rates by 50% annually while improving service efficiency by 50%.

Additionally, Waterdrop's AI-driven quality inspection solution ensures 100% coverage across all communication channels, including voice and enterprise WeChat chat records, while slashing manual review costs by over 50%.

The inclusion in the HBS Case Collection underscores the research value of Waterdrop's pioneering "AI-powered Insurance and Healthcare" business model. Mr. Shen remarked, "The essence of technological innovation lies in leveraging technology-driven efficiency gains and growth momentum to transform socially conscious solutions into actionable, replicable, and sustainable systems that ultimately help deliver meaningful value to users."

For more information about Waterdrop Inc., please visit https://www.waterdrop-inc.com/.

 

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SOURCE Waterdrop Inc.

FAQ

What is the significance of Waterdrop (WDH) being included in Harvard Business School's Case Collection?

The inclusion validates Waterdrop's innovative AI-powered insurance and healthcare business model, recognizing it as an exemplary case study for global business education and research.

How has AI technology improved Waterdrop's (WDH) business performance?

AI implementation led to a 120% increase in net profit in 2024, 50% reduction in manual review costs, and 45% improvement in patient enrollment efficiency.

What are the key services offered by Waterdrop (WDH)?

Waterdrop offers Medical Crowdfunding (helping 3.47M patients), Insurance Marketplace (1,000+ insurance products), E-Find Patient Recruitment, Waterdrop Financial, and Lugo Visa.

How effective is Waterdrop's (WDH) AI-powered customer service?

The AI system handles consultations for up to 50 minutes per session with a 2-second response time, outperforming entry-level human agents in efficiency.

What impact has Waterdrop's (WDH) Medical Crowdfunding platform achieved?

The platform initiates a new campaign every 53 seconds and has helped 3.47 million patients through support from 475 million people.