The enterprise artificial intelligence sector in China is reaching a strategic inflection point as the industry shifts from a race for parameters and agent volume toward large-scale value delivery. While individual tools for writing, image generation, and presentations have impressed, they have largely failed to trigger the systemic productivity shifts required by major organizations. Traditional digital legacies, including rigid system architectures and fragmented data silos, continue to hinder the deep integration of AI into core business operations.
At the recent 'Digital Cloud Force 2026' forum, Digital China, alongside its affiliates Digital China Holdings and Digital China Information Service, introduced a transformative framework titled 'AI for Process.' This strategy moves beyond the industry’s current focus on 'AI for People' or 'AI for Professionals.' Instead, it addresses the core pain point of modern enterprises: the hundreds of isolated business systems whose rigid workflows have become obstacles rather than enablers of growth.
Digital China’s Vice President and CTO, Li Gang, argues that the industry’s primary mistake has been overemphasizing individual efficiency while neglecting workflow reconstruction. The true industrial value of AI lies in its ability to embed deeply into core business processes rather than remaining an office assistant. By focusing on 'AI for Process,' the company aims to turn expert experience into quantifiable, reusable assets that can drive autonomous evolution within an organization.
This methodology is physically manifested in the newly launched 'Shenzhou Wenxue 2.0 Agentic Process Workspace.' The platform serves as a carrier for AI agents to enter corporate workflows, enabling a collaborative environment where agents, employees, and knowledge systems operate in unison. Digital China reports that its AI-related business has already seen a 100% year-on-year growth, with significant implementations in high-stakes sectors like pharmaceutical research and high-end manufacturing.
In the pharmaceutical sector, 'AI for Process' is being utilized to accelerate clinical trials and medical report generation. While LLM 'hallucination' remains a concern in general AI, the company notes that in R&D, AI can filter thousands of documents and compounds down to a manageable dozen. Even with a small error margin, the system eliminates 90% of ineffective work, significantly shortening the development cycle while leaving final decisions to human experts.
This strategic pivot represents a bet on a 'blue ocean' of market growth that rivals the size of the traditional IT services market. Digital China is positioning itself not just as a provider of models, but as an architect of the 'enterprise context.' The company believes that the key to AI adoption is not the intelligence of the model itself, but the organization’s ability to structure its internal data and knowledge to be understood by the machine.