On December 12, the 2025 AI Cloud Industry Development Conference, hosted by the China Communications Standards Association (CCSA) and organized by the China Academy of Information and Communications Technology (CAICT), was successfully held in Beijing. With the theme “Cloud-Powered Renewal, Intelligence-Led Future,” the conference released multiple research outcomes in the AI cloud domain and announced the 2025 AI Cloud Innovative Application Practices.
At the conference, Futong Technology’s practical achievements in engineering enterprise data intelligence drew broad attention. The Futong iCore Industry Voice of the Customer (VOC) case was successfully selected as an Innovative Application Practice, and Mr. Wei Xianfei, Assistant Vice President of the Group Delivery Center, was invited to deliver a keynote speech at the Enterprise AI Large Model and Intelligent Agent Application Practice Forum, sharing Futong’s systematic experience in multi-agent collaboration and enterprise data intelligence engineering.
The Futong iCore Industry VOC case selected as an Innovative Application Practice
Futong Technology invited to deliver a keynote speech at the forum
Selected Case | Enterprise Intelligent Agents Driving Data Analysis and Report Generation
The selected case focuses on the real-world challenges faced by a leading automotive brand in applying intelligence to its Voice of the Customer (VOC) data. The enterprise had already established a large-scale VOC system covering over 100 data sources and processing millions of records daily. However, in data querying and application, it continued to encounter common industry bottlenecks:
Limited natural language understanding capabilities
Insufficient coverage of “ask-the-data” scenarios
Heavy reliance on complex query syntax
Long response cycles that could not meet high-timeliness decision needs such as marketing monitoring, public sentiment response, and customer complaint handling
As a result, large volumes of accumulated data could not be effectively transformed into business value, constraining agile decision-making and operational optimization.
To address these challenges, Futong Technology built an enterprise-grade intelligent “ask-the-data” Agent engineering solution based on the Futong iCore platform. Leveraging a multi-agent collaboration mechanism, the solution integrates natural language understanding, task decomposition, data retrieval, and result generation into a unified cognitive workflow.
Based on question complexity, the system dynamically orchestrates between rule-guided processing and large-model reasoning, enabling deep understanding of multi-source, heterogeneous automotive VOC data. It automatically generates structured analytical outputs, business interpretations, and thematic analysis reports, delivering data insights in a form that is readable, understandable, and actionable, and directly supporting business decision-making.
In practice, the solution has significantly expanded the coverage of automotive data inquiry scenarios, improved analytical efficiency, and accelerated end-to-end response from data request to decision support. Customer data and insights accumulated in the system are now fully activated, driving a transformation of VOC data from “queryable” to “analyzable, summarizable, and decision-ready,” providing strong support for precision operations and customer experience optimization.
Forum Insights | Multi-Agent Collaboration Driving Enterprise Data Cognition Upgrade
At the parallel Enterprise AI Large Model and Intelligent Agent Application Practice Forum, Mr. Wei Xianfei, Assistant Vice President of Futong Technology’s Group Delivery Center, delivered a keynote presentation sharing Futong’s hands-on experience in enterprise data intelligence and decision automation.
Enterprise AI Large Model and Intelligent Agent Application Practice Forum
Mr. Wei Xianfei, Assistant Vice President, Group Delivery Center, Futong Technology
Mr. Wei noted that as enterprise data volumes and business complexity continue to grow, traditional analysis models centered on data visualization and simple Q&A retrieval can no longer support high-frequency, complex business decision-making. Enterprises urgently need intelligent agents with understanding, reasoning, and planning capabilities to enable a paradigm shift from “data presentation” to “cognitive automation.”
He further introduced Futong’s iCore Intelligent Data Hub Architecture, which forms a complete cognitive closed loop through multi-agent collaboration, covering the full chain from data perception and task understanding to reasoning, decision-making, and result expression.
In practice, Futong leverages Futong iCore DataFab for multi-source data ingestion and processing, utilizes the Futong iCore Intelligent Agent Platform for multi-agent collaborative reasoning, and employs the Agent Garden to visualize reasoning outcomes and generate actionable recommendations. This enables full-chain automation from natural language queries and data analysis to thematic report generation and action suggestions.
Overall architecture of Futong iCore
Automotive VOC practices demonstrate that this approach significantly improves data analysis efficiency, expands inquiry scenario coverage, and rapidly transforms accumulated data into executable business insights. Similar practices have also been implemented across healthcare, government, finance, legal services, and education, extending data-driven decision support to a broader range of industry scenarios.
Advancing AI Cloud Value Through Engineering Practice
The selection of this case and the forum presentation represent not only strong recognition of Futong Technology’s enterprise-grade AI engineering capabilities, but also reflect a broader industry trend: AI cloud technologies are rapidly evolving from foundational capability building toward agent-centric application innovation.
Looking ahead, Futong Technology will continue to deepen its exploration along the path of “AI × Industry × Scenario,” advancing innovation in data intelligence, intelligent agent platforms, and industry applications. Together with ecosystem partners, Futong is committed to accelerating the large-scale deployment and value realization of AI cloud technologies in real-world business scenarios.
