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Industry SolutionsRevamping the Claims System for Small-Scale Auto Insurance
The insurer faced several operational challenges in its small-scale auto insurance claims process:
High labor costs: Dedicated personnel were required for each role—customer service, field inspection, and damage assessment—resulting in heavy manpower reliance.
Lengthy processing time: The legacy claims workflow suffered from slow case handovers and long inspection travel times, even for minor claims.
Low customer satisfaction: Policyholders had to call emergency services, the insurer, and the field inspector separately, with long wait times contributing to dissatisfaction.
Low level of automation: The process was entirely manual, with minimal automation across the workflow.
A mobile-based intelligent claims system was developed, integrating multiple functions including self-service claim reporting, self-guided inspections, video-assisted inspections by claims adjusters, and both AI-powered and manual damage assessments. The development process was supported by customized testing solutions, covering test methodology, processes, standards, test cases, templates, and documentation.
· Eliminated approximately 80% of the resource costs associated with on-site inspections.
· Enabled OCR-based document recognition, reducing manual data entry.
· Automated the retrieval of claim and policy information, allowing for one-click data return to the system.
· Significantly reduced the operational costs of inspections and manual input.
· Enhanced claims service quality, customer experience, and overall satisfaction.
中电金信鲸Bot RPA是一款面向金融行业客户的机器人流程自动化的开发平台。
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鲸Bot设计器
鲸Bot设计器集成了浏览器自动化组件，office办公自动化组件，数据库组件，文件处理组件、邮件组件等多种类型组件，通过全栈自动识别技术，自动识别目标元素，使开发过程所见即所得，降低了RPA开发门槛，让业务人员也可以方便地进行业务流程的开发。
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鲸Bot机器人
通过手动执行、定时执行、控制台远程调用的方式运行自动化流程，配合控制台对外提供API接口，供外部程序调用。通过特有的视觉反馈技术提供统一的异常处理机制，极大降低开发和运维成本，让RPA流程运行更加稳定，而解决金融行业因技术人员产能不足难以支持其业务发展的问题。
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