AIGC Reshapes the Financial Service Chain, Driving New Efficiency and Ecosystem

From August 3 to 4, 2023, the 4th China Artificial Intelligence Competition Results Release Conference, themed “Rong Xin Hui Zhi – Accelerating Development,” was successfully held in Xiamen. The event awarded the winning teams and invited experts, scholars, industry leaders, and technology teams to discuss the latest AI advances and future trends. Cao Gang, Chief Technology Architect of Ant Group’s Wealth Insurance Business Group, delivered a keynote titled “AIGC Reshapes the Entire Financial Service Chain, Leading New Industry Efficiency.”

AIGC Drives New Business Efficiency

With breakthrough generative AI technologies such as ChatGPT, Midjourney, and Microsoft Copilot, new business models and operational forms are rapidly emerging across finance, healthcare, and industry. Cao Gang illustrated how financial services involve numerous interlinked processes—sales, risk control, fund management, market analysis, claims, etc.—creating highly complex, cross‑functional workflows. Improving operational efficiency directly impacts innovation speed and competitive advantage.

Facing the surge of AIGC, Ant Financial has rapidly innovated by integrating AIGC with existing applications, adopting a Copilot‑style architecture that redefines human‑machine collaboration. Repetitive, algorithmic tasks are handed to machines, allowing business experts to focus on creative, strategic work, thereby establishing a new interaction paradigm and driving exponential gains in automation and intelligence.

Currently, Ant Financial applies AIGC, RPA, and related technologies across wealth‑advisor sales, marketing, and insurance claim scenarios, achieving significant efficiency improvements for expert roles and fostering both technical and business innovation.

In financial product operations, a key challenge is limited service supply; AIGC provides diverse marketing creatives through multimodal generation (text‑to‑image, image‑to‑image, copy generation, summarization). Fine‑tuning and reinforcement of models raise the quality of AI‑generated assets, enabling richer multimodal expression and personalized service customization.

In insurance claim processing, a single case may require dozens of documents, and manual extraction rates are low. By pre‑training on millions of medical records and employing end‑to‑end generative models with multi‑page assistance and cross‑validation, Ant has raised information‑extraction accuracy above 80%, making fully automated claim workflows feasible.

Outlook: New Efficiency, New Experience, New Ecosystem

Looking ahead, Ant Group will leverage its five core technologies to apply AIGC across the entire financial service chain. In the B2C domain, AIGC combined with customer insight will build intelligent service, marketing, and sales capabilities, enhancing service and sales power. In the professional B2B domain, AIGC plus financial engineering will strengthen market analysis, risk control, and asset allocation. Through AIGC‑enabled shared connectivity, claim, marketing, and risk‑control functions will be productized and opened to ecosystem partners.

2023 is regarded as the “AIGC year.” The company aims to seize this wave of technological explosion, rapidly apply and practice new techniques, and reshape financial services to deliver new efficiency, experiences, and ecosystems to the industry.