Against the backdrop of accelerating global AI competition, the rise of open-source large language models (LLMs) has injected new momentum into the financial industry. As a rising force in China’s AI sector, DeepSeek has become a critical technical pillar for the intelligent transformation of banking, leveraging its exceptional reasoning capabilities and innovative Mixture-of-Experts (MoE) architecture. By activating parameters through a dynamic routing mechanism, the model balances high performance with low resource consumption, demonstrating outstanding results in scenarios such as mathematical reasoning and code generation—notably scoring 90.2% on the MATH 500 test.

As the primary vehicle for financial services, the banking industry faces multiple challenges, including evolving customer demands, operational efficiency optimization, and the need for strengthened risk management. Agree Tech, a solution provider deeply rooted in FinTech, has keenly captured the integration potential of AI and banking. Upon the emergence of DeepSeek, the company grasped market dynamics and engaged in rapid development to deeply apply the model to intelligent banking scenarios, helping the industry break through traditional model bottlenecks and accelerate the digital transformation process.

Based on DeepSeek’s technical characteristics, Agree Tech has launched several innovative products covering the entire banking value chain of development, operations, and services:

1.Intelligent CodeReview Solution: Utilizing DeepSeek’s code logic analysis, the system comprehensively evaluates code quality, reducing defect density by 50%, shortening review time by 50%, and identifying 80% of issues in advance. 2.AB Application Generation System: Targeting bank teller operations, this system uses Multi-Agent Orchestration to achieve automatic requirement parsing and compliant code generation, significantly improving the efficiency of standardized transaction development. 3.AFA IDE Intelligent Development Environment: Deeply integrating DeepSeek’s code understanding capabilities, it provides semantic-level completion and error diagnosis for the Eclipse environment, accelerating the intelligent upgrade of the AFA (Agree Financial Architecture) platform. 4.ChatOps Intelligent O&M Solution: Leveraging DeepSeek’s advantages in fault diagnosis and reasoning, Agree Tech has built a next-generation ChatOps platform. Through logical reasoning, the system provides full-process intelligent support from alarm analysis to solution generation, significantly enhancing the response efficiency and problem-solving capabilities of IT operations teams.

Furthermore, by harnessing DeepSeek’s excellent natural language processing and logical reasoning, Agree Tech is conducting further research. A richer array of products and solutions in fields such as Smart Branches and Mobile Banking are being rolled out, fueling the “Data-to-Intelligence” transformation of the banking sector.

Actually, Agree Tech has been consistently positioning itself in the AI field. Long before ChatGPT sparked the LLM craze, the company had accumulated deep expertise in ASR, NLP, and TTS, laying the foundation for subsequent LLM implementation. Facing the surging LLM market, the company adheres to a “Value-Driven” strategy, focusing on three directions:

• Scenario-based Implementation: Focusing on high-frequency needs such as teller transaction assistance, intelligent operational management, and document Q&A, AI modules are embedded into existing solutions as independent products.
• Technology Fusion: Adopting a “Large Model + Small Model” synergy strategy to balance cost and performance. For instance, in risk control, deep learning is combined with rule engines to enhance decision precision.
• Ecosystem Co-construction: Partnering with companies like Tencent Cloud to integrate technologies such as real-time audio/video and distributed databases. For example, the Cloud Banking solution connects diverse scenarios via APIs, achieving a seamless match between financial services and user needs.

Guided by the national “Digital Finance” strategy and the goal of becoming a financial powerhouse, the intelligent upgrade of the banking industry has become inevitable. CCID Consulting predicts that the market size of China’s banking IT solutions will exceed 100 billion RMB by 2028, with an average annual growth rate of 11.85%, where intelligent technology will be the focal point of competition. Looking ahead, Agree Tech will continue to focus on the dual-wheel drive of “AI + Scenarios” to provide tools for banks to reduce costs and increase efficiency, supporting the transition from “product-centric” to “customer-centric” models and injecting lasting momentum into the high-quality development of China’s financial industry.