Enterprise AI Agent (AI Agent) has reached a significant growth inflection point. According to the latest released "2025 Q3 Global Enterprise AI Agent Excellent Vendor Map", CloudCC has successfully been selected for its multimodal large model integration platform, becoming one of the few domestic AI Agent solution providers that have gained international recognition. Data shows that by the first three quarters of 2025, the Chinese enterprise AI Agent market reached 18.6 billion yuan, surging 220% year-on-year, marking that this technology has moved from proof-of-concept to multi-industry large-scale value implementation.

AI Agent Redefines Enterprise Services: Car After-sales Efficiency Surges 300%
CloudCC AI platform of CloudCC is built around NLP, knowledge graph, multimodal understanding, and task planning engines, creating industry intelligent agents capable of autonomous decision-making and continuous learning. In the car after-sales service scenario, its AI Agent achieves:
- 300% improvement in response speed: identifies fault types instantly and retrieves maintenance knowledge base;
- 75% increase in service efficiency: automatically assigns tasks, generates maintenance plans, and estimates spare parts needs, reducing manual intervention;
- Significant improvement in first-time resolution rate: accurately locates complex issues through context understanding and historical work order association.
This solution has been implemented in multiple major car manufacturers and dealership groups, becoming a benchmark case for AI empowering traditional service processes.
"AI + Industry" Ecosystem Model: Accelerating Enterprise Digital Transformation
Beyond the automotive sector, CloudCC is promoting an "AI + Industry" ecosystem strategy, expanding CloudCC AI capabilities into high-value scenarios such as manufacturing, finance, energy, and healthcare:
- In manufacturing, AI Agents enable equipment early warning and automatic work order generation;
- In financial customer service, it supports multi-round complex business processing and compliance guidance;
- In energy inspection, it combines image recognition to automatically analyze equipment status and generate reports.
The company emphasizes that its core advantage lies in the integration of deep industry expertise with AI capabilities, not just the simple use of general models, ensuring that the Agent "understands the business, can execute, and completes the loop."
AIbase Observation: AI Agents Move from "Showcasing" to "Generating Revenue"
A 220% market growth rate confirms that enterprises are no longer investing in AI for AI's sake, but rather for cost reduction, efficiency improvement, and revenue generation. CloudCC's success reveals a clear path—encapsulating large model capabilities into intelligent agents that can be embedded in business processes, directly impacting key performance indicators (KPIs).
