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ChinaFinance and insurance2018 – ongoing

China Taiping Insurance

Xiao Zhi AI motor-claim assessment

China Taiping reported handling more than 100,000 claims with Xiao Zhi over 10 months

WorkingCompany's own claimOfficial ↗

Problem

Motor-claim assessment required usable accident images and identification of damaged vehicle parts. Poor images and difficult transmission conditions complicated remote surveys.

Approach

China Taiping launched Xiao Zhi in 20 Chinese cities in 2018. The system combined AI loss estimation with damaged-part identification and image-quality checks. Video supported remote intervention at accident sites, while digital watermarking protected collected information against tampering.

Results

more than 100,000claims handled over 10 months, according to China TaipingCompany's own claim[1]
20Chinese cities in the 2018 launch, according to China TaipingCompany's own claim[1]

Takeaway

The reported claim volume established operational use. China Taiping did not quantify the system's effect on settlement time or claim costs.

Categories

Business function
Production and quality
Innovation type
Process innovation
AI technology
Computer vision
Evidence
Company's own claim

Sources

  1. New Era New Strategy: Delivering Customer Excellence with Innovation
    China Taiping InsuranceJan 2025Company publication
  2. New Era New Strategy, China Taiping Singapore delivers customer excellence with innovation
    China Taiping Insurance (Singapore)13 Nov 2019Company publication

Source summaries

[1]China Taiping InsuranceJan 2025

China Taiping described Xiao Zhi's AI loss estimation and damaged-part recognition functions. It reported a launch across 20 Chinese cities in 2018 and more than 100,000 claims handled over 10 months.

[2]China Taiping Insurance (Singapore)13 Nov 2019

China Taiping presented Xiao Zhi among its insurance technology systems at Singapore Fintech Festival 2019. It described the system's use of real-time video for motor claims.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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