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AI Insurance in Action: From Underwriting to Claims

8-min read

Updated on 2026-6-18

Author: AIA Content Editorial Team

Ai insurance-Ai in insurance industry-intelligent underwriting

In the era of Insurtech, AI insurance is rapidly reshaping the insurance landscape. More insurers are adopting AI-driven initiatives across the insurance industry—leveraging artificial intelligence (AI), machine learning, and big data analytics—to streamline the entire customer journey, from product design and policy application to intelligent underwriting and claims. These AI applications help improve operational efficiency, strengthen risk assessment, and enhance the overall customer experience, creating a win-win outcome for both insurers and consumers.

AI Insurance Trends: The Rise of AI in the Insurance Industry

Entering the 21st century, innovation has accelerated at an unprecedented pace. Across industries, organizations are actively integrating AI to strengthen operational efficiency and enhance service standards. According to McKinsey, the insurance industry stands on the brink of a technological revolution, and projected that insurers could improve productivity and reduce administrative costs by as much as 40% through the use of AI before 2030 ¹.

That said, AI is still only beginning to transform insurance operations. Consumer financial services company Bankrate believes that, over time, AI will gradually become a core technical foundation of the insurance industry ². In addition, a report from Insurance Nexus indicates that AI can accelerate digitalization and standardization in insurance, with the most significant impact observed across four major areas: insurance claims, intelligent underwriting, fraud detection, and customer service ³. In Hong Kong, the Insurance Authority is actively promoting local insurance technology (Insurtech) development to streamline traditional manual underwriting and claims processes, reduce administrative costs, and create more room for product innovation and the growth of online insurance—advancing AI insurance and accelerating the adoption of AI in the insurance industry ⁴.

Traditional Insurance vs. AI Insurance: What's the Difference?

In today's digital-first landscape, AI insurance (also referred to as smart insurance) is widely seen as the future direction of the market. Since 2017, Hong Kong's Insurance Authority has actively promoted the development and adoption of Insurtech through initiatives such as the "Insurtech Sandbox So how does traditional insurance differ from AI insurance? Below are two key differences:

(Sandbox)" and "Fast Track" program, bringing unprecedented change to Hong Kong's insurance market ⁵.

	Traditional Insurance	AI Insurance / Smart Insurance
Application process	Face-to-face; requires meetings with an insurance intermediary	Online, more flexible and convenient
Paperwork	Requires completing a larger volume of paper forms	No paper forms required

How AI Applications in Insurance Are Reshaping Traditional Insurance

Product Design

With AI-driven analytics and machine learning applications, insurers can simplify and accelerate data collection. This enables them to segment customers across multiple dimensions—such as protection needs, financial goals, and life stages. Beyond identifying customer interests and intent in real time, insurers can more accurately predict conversion rates across different audience groups. With these insights, product teams can continuously optimize and improve existing product design.

Sales and Marketing

Smart technologies can support more precise targeting at every stage of the sales funnel, providing more personalized policy recommendations to both prospective and existing customers. AI can also consolidate sales data gathered across multiple channels and offer clear guidance to sales professionals—for example, which content is most likely to resonate with customers and which insurance products best fit a given policyholder. This helps accelerate sales, improve conversion rates, and increase automation across the sales process.

Insurers can also deploy AI chatbots—one of the most common AI applications in insurance—to handle everyday inquiries and routine tasks. This allows sales teams to focus on deal strategy and relationship management, ultimately delivering a more customer-centric service experience.

Intelligent Underwriting and Premium Pricing

In underwriting, traditional insurers typically rely on substantial manpower to review applications. In contrast, intelligent underwriting uses AI-powered decisioning to automatically analyze applicants' health information and assess risk. This supports underwriting decisions—such as whether coverage should be offered and whether additional conditions should apply—while reducing operating costs and improving accuracy, consistency, and efficiency.

Claims

Claims processing is a critical part of insurance operations. With the use of AI technologies, AI insurance can simplify claims procedures, accelerate claims handling, and improve fraud detection. A joint study by the Coalition Against Insurance Fraud and SAS found that by 2021, as many as 80% of insurance companies had adopted predictive analytics models to detect potential fraudulent activity—an increase of 25% compared with 2018⁶ 。

As insurance fraud tactics continue to evolve, AI applications in insurance can continuously develop and refine algorithmic capabilities to identify suspicious cases and issue alerts to insurers. This makes it easier for claims professionals to identify fraud cases that may otherwise be difficult to detect.

💡Try smart claims now: Submit e-claims quickly via AIA+ mobile app

AIA customers can use the AIA+ mobile app to submit e-claims, reducing paperwork and processing time and enjoying a faster, more convenient smart claims experience.

Three Major Benefits of AI Insurance

Higher Productivity

Stronger Risk Management

As insurance fraud becomes more diverse, insurers face a growing range of risks, including duplicate claims, fabricated losses, and false personal information. To strengthen risk controls, insurers can adopt intelligent detection systems—one of the most valuable AI applications in insurance—to analyze suspicious cases, prompt deeper investigations, verify whether applications and claims are legitimate, and take appropriate actions in a timely manner.

Improved Customer Satisfaction

The key to improving customer satisfaction is developing a deeper understanding of customers. By introducing advanced technologies such as AI, insurers can collect and analyze customer data more systematically. This helps product design teams, marketing professionals, and frontline sales teams build more suitable solutions—ultimately improving customer satisfaction and reinforcing the long-term value of AI in transforming the insurance industry.

AI Insurance FAQ

AI insurance uses technologies such as AI, big data, and machine learning to optimise the insurance journey—from application to claims. Compared with traditional insurance, which often requires face-to-face meetings and extensive paper forms, AI insurance enables customers to complete processes online with a paperless, more flexible, and more efficient experience.

AI in the insurance industry is widely used in product design (e.g., analysing customer intent and needs), smart underwriting, fraud detection (such as identifying duplicated or suspicious claims), and AI-powered customer service chatbots.

Smart underwriting refers to insurers using AI algorithms to perform real-time risk assessment based on an applicant's digital health declarations and supporting data. This shifts the process from manual document review to automated data reading and streamlined workflows—improving application efficiency and helping reduce overall processing time across the policy and claims journey.

Yes. Insurers must follow strict privacy and data protection requirements when implementing AI solutions. Personal data is typically used only for purposes such as risk management and identity verification, and is protected through security measures such as encryption to help safeguard information.

Takeaway

💡By integrating technology with insurance, AI insurance can create a win-win outcome for both insurers and consumers.

💡The impact of ai applications in insurance is most significant in claims, intelligent underwriting, and fraud detection.

💡Since 2017, Hong Kong's Insurance Authority has actively promoted the development and adoption of Insurtech.

💡AI in the insurance industry is expected to become a core technical pillar, enabling more diversified insurance services.

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^1. McKinsey & Company (2021), Insurance 2030—The impact of AI on the future of insurance, https://www.mckinsey.com/industries/financial-services/our-insights/insurance-2030-the-impact-of-ai-on-the-future-of-insurance#/

^2. Bankrate (2021), How AI is bringing the insurance industry into the future, https://www.bankrate.com/insurance/car/artificial-intelligence-meets-the-insurance-industry/

^3. Emerj (2019), AI in the European Insurance Market – Predictions and Trends, https://emerj.com/ai-european-insurance-market-predictions-trends/

^4. Insurance Authority, Insurance Digital Onboarding, https://www.ia.org.hk/en/digital_onboarding/promotion_of_insurtech_development.html

^5. Insurance Authority(2022), Insurtech Corne, https://www.ia.org.hk/en/aboutus/insurtech_corner.html

^6. SAS Institute (2022), 2021 State of Insurance Fraud Technology Study, https://www.sas.com/en/whitepapers/coalition-against-insurance-fraud-the-state-of-insurance-fraud-technology-105976.html

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