Deep Integration of Business, CLOOPEN AI: 6 Major Practice Scenarios

Background and Issues

Technologies like DeepSeek and ChatGPT, as powerful AI tools, have brought new opportunities for corporate transformation. However, as many vendors use "access to large models" as a homogeneous competitive tag, large model applications have also fallen into the bottleneck of high homogenization and difficulty in quickly generating effective results. This is mainly manifested in the fact that although the functions seem powerful, they are not user-friendly in business applications, and the algorithm accuracy has not been translated into the improvement of actual business indicators.

CLOOPEN AI's Solution

CLOOPEN AI believes that simply accessing powerful large model technologies cannot automatically translate into competitive advantages. In enterprises, the general capabilities of large models are only the starting point. The in-depth coupling of industry rules and business logic is the core battlefield of intelligence.

CLOOPEN AI breaks through homogenization through a "scene + business" dual-engine strategy, specifically as follows:

Industry Customization: Combining the characteristics of enterprises, customer needs, and scenarios, CLOOPEN AI creates a large model application optimization framework for enterprises, integrates enterprise business knowledge bases at the parameter level, and builds more than 1,000 templates for different industry business scenarios.

Scenario Verticalization: Focusing on enterprise customer service, marketing, and other scenarios, CLOOPEN AI disassembles business processes to achieve a high degree of integration between technology and business, solving complex business scenario problems.

Six Major Practice Scenarios

Intelligent Customer Service: In a complex consulting scenario of a certain bank, the first-time resolution rate (FCR) of CLOOPEN AI's Virtual Agent reached 85%, an increase of 23.5% compared to general models. The self-service handling rate was increased to 81%, the transfer-to-human rate was reduced by more than 50%, and the single post-call customer conversion rate was increased by 30%.

Knowledge Application: In an actual verification, when using a general large model application, a financial advisor caused customer complaints due to the AI's incorrect explanation of the "performance comparison benchmark" concept. After switching to CLOOPEN AI's Knowledge Copilot, the accuracy of automatically generated compliant phrases was increased to 99%, and related complaints were nearly zero.

Risk Quality Inspection: CLOOPEN AI's QM Agent, which is embedded with compliance logic from regulatory bodies such as the China Banking and Insurance Regulatory Commission (CBIRC), can deeply identify non-compliant content, especially for implicit non-compliant expressions like word games. General models, lacking a deep understanding of banking business, are unable to accurately identify hidden risk items. The accuracy of non-compliance identification reached 96%, and the manual time for compliance auditing was reduced by 72%.

Demand Mining: CLOOPEN AI's Insight Agent has a stronger ability to think and understand banking business, with a 30% increase in demand extraction accuracy compared to general large models.

Marketing Conversion: In the field of marketing, CLOOPEN AI's Agent Copilot analyzes data from inside and outside the bank to automatically generate personalized marketing plans that cover the basic situation of marketing targets, industry research, marketing strategies, marketing phrases, and recommended products, significantly improving marketing conversion efficiency and increasing the success rate of retaining high-value customers by 25%.

Customer Service Training: CLOOPEN AI's Coach Agent, based on the enterprise's private data, generates a proprietary question bank and creates customized training scripts according to the capabilities of customer service representatives. It recreates business processes through various links such as customer consultation, product recommendation, and risk assessment, providing an "immersive" simulation training experience for customer service representatives. The first-time resolution rate for new employees was increased to 89%.

Conclusion

The application of CLOOPEN AI's large models in corporate scenario-based practices has proven its value as a "programmable production factor" for business growth. In the future, CLOOPEN AI will work with more customers and ecosystem partners to explore more innovative application scenarios and promote corporate development.