Summary of Key Points
On July 20th, during the 2026 World Artificial Intelligence Conference, Ronglian Cloud hosted a forum on enterprise-level Agents, officially releasing the results of their application practices in this area. The main goal is to transform AI from something that merely demonstrates the capabilities of large models into a productive force that can directly help businesses generate revenue. This involves addressing current issues such as poor human-machine collaboration and broken business processes (where tasks cannot be completed seamlessly). Ronglian Cloud proposed that enterprise Agents should integrate with business systems, data, and intelligent capabilities to form a cohesive workflow. They also introduced specific Agent products for use in customer service and marketing scenarios (such as Voice Agents and Private Domain Operation Agents), marking a new phase in the智能化 of businesses: AI is no longer just an auxiliary tool but has become an “intelligent employee” that can connect with business operations and create value.
Detailed Explanation
1. Why Do Businesses Urgently Need Agents Now? —— The Pain Points of AI Applications in More Complex Areas
Previously, AI was often used for “single-point intelligence” within businesses, such as automated response robots in customer service that could only answer fixed questions or simple data analysis in marketing. However, to truly be useful, AI faces two major challenges:
- Disrupted Human-Machine Collaboration: When customers call with complex issues, robots may not be able to handle them, and when the call is transferred to a human operator, the information is not synchronized, requiring the customer to repeat their explanation.
- Difficulty in Closing Business Processes: AI can only perform certain steps in a process (e.g., generating marketing content) but cannot automatically send it to customers, track results, or adjust strategies. These issues prevent AI from becoming an effective productivity tool, so businesses need Agents to overcome these barriers.
2. What Makes Ronglian Cloud’s Enterprise Agents Different? —— From “Single-Point Intelligence” to “Complete Business Processes”
Ronglian Cloud’s approach to enterprise Agents is not about creating individual “small tools” but rather “business connectors.” These Agents aim to connect a company’s business systems (such as CRM and order management systems), data assets (customer history, sales data), and AI capabilities (voice recognition, strategy generation) to enable them to participate in the entire process from customer consultation to transaction and after-sales support. For example, when a customer calls to complain, an Agent can automatically retrieve order information, understand the customer’s sentiment, provide a solution, and even handle the refund process—all without human intervention, thus closing the business process and effectively driving growth.
3. What Can These Newly Released Agent Products Do? —— The “Superpowers” of Two Core Products
Ronglian Cloud has launched Agents for customer service and marketing scenarios, focusing on two particularly practical products:
- Voice Agent: This is like an “intelligent telephone customer service agent” that can understand what customers say, detect their emotions, and adjust communication strategies in real-time (e.g., soothing them first before addressing the issue). It can also complete the entire service process independently and continuously improve its performance. The biggest benefit is that it replicates the capabilities of excellent customer service representatives without the need to hire many more staff.
- Private Domain Operation Agent: This agent acts as an “intelligent operations manager” by integrating customer data from various channels (WeChat, apps, SMS, etc.) to analyze customer preferences and needs. It can generate personalized marketing strategies (e.g., sending coupons to customers who prefer discounts or trial information to those interested in new products) and continuously optimize its effectiveness. This helps businesses move from indiscriminate messaging to targeted communication, improving conversion rates.
4. What Practical Benefits Do These Agents Bring to Businesses?
- Cost Reduction: Voice Agents can replace some human customer service roles, reducing labor costs. Private Domain Agents eliminate the need for manual analysis of customer data, saving operational time.
- Efficiency Improvement: Agents can work 24/7 and handle multiple customers simultaneously (e.g., a single Voice Agent can handle up to 100 calls at once).
- Revenue Increase: The targeted operations provided by Private Domain Agents can boost customer repurchase rates, while the professional services offered by Voice Agents can increase customer satisfaction and lead to more repeat business. For instance, using a Private Domain Agent could increase a company’s conversion rate from 5% to 10%, directly generating additional revenue.
5. What Does This Release Mean for the Role of AI in Businesses?
Previously, AI was used as an auxiliary tool that required human guidance to function effectively (e.g., calculating data or writing copy). Now, Agents have evolved into intelligent productive forces that can understand business processes, make decisions, and execute them independently, even connecting entire business chains to create direct value. This marks a new phase in the integration of AI: it is no longer just a decorative element but a core asset that can genuinely help businesses generate revenue.
In summary, Ronglian Cloud’s release of enterprise Agents transforms AI from a technology in the laboratory into a practical tool within businesses, enabling them to solve real problems and improve performance. For most companies, this represents the future direction of AI utilization: no longer focusing on “high-end large models” but on whether AI can help generate revenue.