Transforming AI Integration in Business: Insights from Ping An’s CTO Ray Wang

Transforming AI Integration in Business: Insights from Ping An’s CTO Ray Wang



Introduction


At the forefront of technological innovation, Ping An Insurance continues to set new standards in the financial and healthcare sectors. During the 2026 Apsara Conference, Chief Technology Officer Ray Wang delivered a compelling presentation titled "From Tokens to Value Creation," detailing how Ping An has mastered the art of effectively implementing artificial intelligence (AI) across its operations. This article summarizes Wang's insights on integrating AI in real-world applications, creating significant value for both the enterprise and its customers.

The Challenge of AI Deployment


Wang emphasized the importance of deploying AI in practical business scenarios while managing costs. According to him, the advancing capabilities of AI bring a pressing question to the forefront: how can enterprises harness these technologies not just for theoretical benefits, but for tangible outcomes that enhance business operations? Ping An's strategy combines their extensive experience with AI and a commitment to innovation, leading to a robust infrastructure that supports various applications.

Key Strategies for AI Integration


Ping An’s approach revolves around two major axes: an integrated finance and health strategy and an all-encompassing AI deployment. This dual focus ensures AI is embedded in core business processes, seamlessly transforming operations from simple answer-provider to active task-performer.

1. AI-Powered Express Service: At the heart of Ping An's offerings is the AI-Powered Express Service, a platform allowing customers to initiate requests via natural language prompts. With over 300 services available, the platform recorded more than 100 million user interactions in just four months, achieving a remarkable 92% resolution rate and cutting processing times by over half compared to traditional channels.

2. AI in Healthcare: The company's AI Doctor facilitates a comprehensive healthcare journey, from initial consultations to ongoing health management. By collaborating with leading medical institutions, Ping An has successfully integrated AI diagnostics, achieving a 91% consistency rate in identifying diseases such as breast and gastric cancer. This service alone anticipates handling over 100 million annual interactions.

Enhanced Infrastructure and Efficiency


To support its expansive AI utilization, Ping An has significantly boosted its computing capabilities. In a year's time, their computing power increased from 800 PF to 1,500 PF, allowing for an average daily token consumption surge from 30 billion to 300 billion. Wang pointed out that this increase in capacity allowed for better efficiency, as the company was able to enhance output per computing unit by 368% while reducing costs per token by 76%.

Operational Impact of AI


AI's role extends beyond customer service; it is revolutionizing internal operations as well. An astounding 80% of code generated within Ping An’s software development comes from AI, enabling a substantial reduction in routine tasks. The company also reported that AI representatives managed 81% of total customer service interactions during the first half of the year.

Conclusion


The insights shared by Ray Wang at the Apsara Conference underscore a vision where AI is not just an enhancement, but a cornerstone of operational strategy. By embedding AI across various facets of its business, Ping An is poised to remain at the leading edge of innovation. The group's integration of AI not only demonstrates its potential to reduce costs and improve customer experiences but also highlights the importance of measuring and maximizing value in an era driven by technological advancement. As businesses across different sectors look to integrate AI, Ping An stands as a model of success, proving that with the right strategy, the journey from tokens to true value creation is not only possible but achievable.

Topics Business Technology)

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