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Shanghai Financial Regulatory Bureau issues measures to promote AI application in banking and insurance
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On September 24, the Shanghai Financial Regulatory Bureau issued a set of measures to promote the application of artificial intelligence in the local banking and insurance industries. The measures encourage financial institutions to use AI technology to optimize smart marketing and omnichannel services, improving service efficiency, accuracy, and customer experience. They also call for the intelligent reshaping of business processes, deepening applications in smart credit, smart claims verification, and operations to enhance efficiency and risk management. Internal management functions such as office work, investment research, R&D, and operations are to be empowered by AI. A key focus is building an intelligent risk control system with multi-dimensional models to improve early warning and prevention capabilities for risks including public opinion, illegal fundraising, fraud, and money laundering. The regulator supports institutions, under controllable risk conditions, to cautiously explore next-generation intelligent terminals and financial AI agents, evolving service models from digital enablement to intelligent driving.
Source report
September 24 (Jin Shi Data) — A new set of measures has been proposed to encourage financial institutions to leverage artificial intelligence (AI) technology in order to enhance service efficiency, accuracy, and customer experience.
Key initiatives include:
- Optimizing intelligent marketing and omnichannel services to improve service efficiency and precision, while enhancing the overall customer experience.
- Advancing intelligent business process transformation, including deepening the application of AI in smart credit, intelligent claims verification, and operational processes, to boost business efficiency and risk management.
- Strengthening internal management through AI empowerment, improving capabilities in office operations, investment research, research and development, and system maintenance.
- Building intelligent risk control systems by developing multi-dimensional risk models to enhance early warning and prevention capabilities for risks such as public sentiment monitoring, illegal fundraising, fraud, and money laundering.
The measures also support financial institutions in cautiously exploring the development of next-generation intelligent terminals and financial AI agents, provided that risks remain可控. This shift aims to evolve service models from digital enablement to intelligent-driven approaches.
Source
金十数据Eastern
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