Cloopen AI Wins BPAA Global Silver Award for a Second Time: Financial Big Model Solution

Recently, the finals of the 5th Global AI Application Benchmarking Awards (BPAA) organized by the World Artificial Intelligence Conference Organizing Committee and the People's Government of Putuo District, Shanghai, concluded successfully in Shanghai. Ronglian Cloud stood out among hundreds of projects in multiple rounds of competition with its "Financial Large Model Copilot & Agent Solution", and was awarded the Global Silver Award in the Financial Algorithm Track. 

This is the second consecutive time that the company has won the global silver award of BPAA, following its first win in 2024. It fully demonstrates the company's continuous innovation capabilities and leading position in the field of fintech. 

Behind the consecutive success
Building an AI brain that "understands both business and technology" in finance

In 2024, RingCentral Cloud won the Global Silver Award of BPAA with its "Large Model + Personalized Financial Marketing Service Solution", pioneering a new technical paradigm for AI to empower financial marketing. In 2025, compared with previous award-winning solutions, RingCentral Cloud has completed a strategic upgrade from "single-point empowerment in marketing scenarios" to "a full-chain intelligent matrix". 

The new-generation solution deeply integrates financial expertise with generative AI, with a core "Copilot & Agent" six major model application matrix, comprehensively covering key scenarios in the financial industry such as marketing, sales, services, quality inspection, and internal enterprise management. 

From a technical perspective, this solution seamlessly integrates with mainstream large models such as Deepseek through advanced technologies like multi-model management, inference acceleration, and prompt engineering. It adopts LoRA fine-tuning and financial semantic enhancement to build an intelligent capability foundation tailored for financial scenarios, significantly improving flexibility and accuracy in complex financial business scenarios. At the same time, it has undergone in-depth optimization in terms of inference efficiency, cost control, and deployment security, supporting local deployment to meet the high requirements of the financial industry for stability and compliance. 

Deepen application and create industry benchmark cases
With its profound accumulation and innovative practice in the field of large models in finance, Ronglian Cloud has successfully established in-depth cooperative relationships with many leading financial institutions and created multiple industry benchmark cases. 

01
Building an AI Agent for Securities Quality Inspection
Centered on the complex and highly compliant customer follow-up scenarios in the securities industry, by integrating large model semantic quality inspection with small model rule engines, a quality inspection intelligent agent with both context understanding and precise compliance detection capabilities was constructed. After the project was implemented, it achieved 100% full intelligent quality inspection of customer service, with an accuracy rate as high as 96%, far exceeding the industry average.

02
Create a dedicated assistant agent, Copilot, for banks
Focus on three core challenges in the banking industry - customer service response efficiency, compliance and conversion rate of telemarketing collection, and the effectiveness and consistency of telemarketing scripts. Build an intelligent assistance solution centered on "real-time script guidance - intelligent process navigation - efficient quality inspection and monitoring".
After the project was implemented, on the customer service side, the overall business efficiency increased by 10%; on the telemarketing side, the business success rate increased by 22.11%; on the collection side, the amount recovery rate increased by 6.64%, the case recovery rate increased by 5%, and the recovery rate of outsourced cases increased by 3%. 

03
Build a life insurance large model conversation insight agent
The implementation of the large-scale model for conversation insight agent in the life insurance sector has significantly improved the efficiency of data processing and analysis by nearly tenfold. The utilization rate of conversation data has soared from less than 5% to 95%, and the number of knowledge base entries has increased by over 100%, covering more than 90% of high-frequency consultation scenarios. This has notably enhanced the customer experience and the capabilities of the service representatives, truly achieving a service transformation from "passive response" to "proactive insight". 

Looking ahead, we will continue to empower the new chapter of financial digitalization and intelligence.

Winning the silver award at the BPAA competition is not only a reconfirmation of Roongliang Cloud's technological strength, but also a driving force for us to keep moving forward.

In the future, Roongliang Cloud will continue to take large model technology as the core, deepen the application in the financial and multiple industries, and promote the transformation of AI from "laboratory achievements" to "industrial productivity". Relying on this award-winning opportunity, Roongliang Cloud will also actively respond to the national intelligent industry support policies, further integrate into the global AI innovation ecosystem, and contribute more to the construction of an intelligent and efficient financial technology system.