When artificial intelligence gradually moves from technical hot spots to industrial deep water zones, enterprises begin to re-examine a more realistic question: How exactly should AI land to truly change the way organizations run?

As a high-end smart new energy vehicle brand created by Dongfeng Motor Group, Voyah Automobile, while developing rapidly, also faces management and coordination challenges common to large manufacturing enterprises: many systems, long processes, dispersed knowledge, and high collaboration costs. How to introduce sustainable intelligent capabilities without overthrowing existing IT systems has become a key proposition in Voyah Automobile's process of advancing digital transformation.

It is against this background that Voyah Automobile and Digital China launched deep cooperation around enterprise-level AI, starting from real business scenarios, using platform capabilities as technical foundation, jointly advancing systematic construction of enterprise intelligent capabilities.

Finding "Landable" Directions from Technology Wave

By the end of 2024, with the emergence of open-source large models like DeepSeek, technical thresholds and cost structures of the AI industry changed significantly. Large models are no longer capabilities that only a few professional enterprises can master; low-cost, high-performance, privatizable deployment technical paths create realistic conditions for enterprises to independently build AI applications.

Both Voyah Automobile and Digital China clearly see that the focus of AI development is shifting from "model capability competition" to "application value creation." For enterprises, what truly matters is not model parameter scale, but whether AI can be embedded into daily processes, whether it can be used frequently by employees, and whether it can continuously achieve efficiency and experience improvements.

According to relevant surveys, medium and large enterprise employees consume about 30% of daily working time on process connection. Knowledge assets such as financial policies, personnel systems, and R&D norms precipitate in document systems with low retrieval efficiency. New employees take an average of 2-3 months to master basic business knowledge. These problems are not complex but highly repetitive and exist for a long time, making them most suitable for systematic optimization through AI.

Platform First, Building Enterprise AI Capability Base

In the early stage of cooperation, Digital China started from overall capability construction, relying on self-developed middle platform Smart Vision to build a model application development platform for Voyah Automobile aimed at enterprises, with the goal of making AI truly usable, emphasizing ease of use, compatibility, and scalability.

Through this platform, Voyah Automobile can create and manage intelligent agents based on zero code or low code, complete workflow orchestration, tool invocation, and knowledge base access, and seamlessly interface with existing databases and business systems; at the same time, this platform is compatible with domestic computing power environments, able to run stably within existing IT architecture, providing reliable support for continuous iteration of subsequent applications.

In Digital China's view, enterprise-level AI should be a capability system that can grow continuously. The "model application development platform" is the technical foundation of this capability system, reserving sufficient space for continuous expansion of upper-layer applications.

AI Capability Entering Business Deep Water Zone, Birth of Voyah AI Assistant

Based on Smart Vision, combined with business scenario understanding of Voyah Automobile, Voyah Automobile and Digital China jointly proposed a collaborative innovation model of "technology platform + scenario application," creating an AI product "Voyah One-stop Intelligent Office Assistant" combining flexibility and scenario. Unlike scattered functional plugins, "Voyah AI Assistant" is designed as a unified AI entrance for employees, unfolding around real, high-frequency office and business scenarios.

At the administrative office level, processes such as meetings and leave are redefined. Voyah employees only need natural language to complete meeting initiation, time coordination, meeting room recommendation, and cross-system schedule synchronization; leave applications, leave balance queries, and approval progress tracking are also integrated into a unified interactive experience. Processes that originally required multiple clicks and repeated confirmations are compressed into a single conversation.

At the system and process level, "Voyah AI Assistant" becomes the "intelligent navigation hub" of internal enterprise systems. Employees no longer need to remember system addresses or complex paths. Just asking questions, the intelligent agent can give clear operational guidelines and jump directly to corresponding system pages, significantly reducing learning costs and operational time for Voyah employees using enterprise systems.

More valuable changes are reflected in activation of enterprise knowledge. By building a multi-level knowledge system covering company regulations, business norms, R&D materials, financial and legal documents, "Voyah AI Assistant" can quickly locate effective information from massive documents based on retrieval-augmented generation technology and feed it back to employees in a clear, traceable manner. Knowledge assets transform from "being stored" to productivity available anytime.

Besides general office scenarios, both parties also developed a series of vertical business intelligent agents around Voyah Automobile's specific business needs. In financial and administrative scenarios, bill and PDF recognition capabilities can automatically extract key information, generating structured data, significantly reducing manual entry workload; in R&D and production scenarios, intelligent problem assistants can recall and analyze physical failure problems and Jira tickets, helping business personnel quickly locate root causes of problems and precipitate solution experience into reusable knowledge assets.

These capabilities are uniformly integrated into one-stop intelligent office entrance, allowing AI to truly participate in the discovery, analysis, and optimization of business problems.

Visible Results, Walkable Path

With continuous landing of the project, Voyah Automobile felt changes in multiple dimensions. Administrative office and business processing efficiency significantly improved, knowledge query changed from "digging materials, asking colleagues" to second-level response, and the cycle for new employees to become familiar with business was also significantly shortened.

More importantly, all capabilities are deployed within existing enterprise systems and security systems, achieving unification of data consistency and information security, avoiding new problems of "system fragmentation." When office mode fully shifts to "full-process intelligent collaboration," Voyah Automobile's overall operation is also injected with efficient and safe intelligent power.

The cooperation between Digital China and Voyah Automobile verified an AI landing path suitable for manufacturing enterprises: lowering AI usage threshold with platform capabilities, drawing application design with real business scenarios, replacing one-time delivery with continuous co-creation, creating a replicable enterprise-level AI practice sample. Under this path, AI is no longer an "intelligent concept" floating above business, but becomes part of organizational operation, continuously releasing efficiency and value.

Facing the future, this capability system is still constantly evolving. What is certain is that only when AI truly integrates into processes and serves people can enterprise intelligent transformation truly get on the right track.