As most AI projects fail to deliver, Kingsoft Office's new WPS 365 embeds AI directly into workflows, promising real productivity, not just answers.

11 days ago
Beyond Chatbots: WPS Office Redefines AI with an 'Enterprise Brain'

Beyond Chatbots: WPS Office Redefines AI with an 'Enterprise Brain'

HONG KONG – July 09, 2026 – As enterprises across the Asia Pacific region grapple with the gap between artificial intelligence hype and real-world returns, Kingsoft Office has unveiled a new paradigm for organizational intelligence. At the LEAP EAST technology conference this week, the company launched WPS 365, an enterprise productivity platform powered by a novel 'Enterprise Brain Execution Layer'. The solution aims to move AI beyond conversational chatbots and embed it directly into the fabric of business operations, promising to finally unlock the productivity gains that have long eluded corporate AI investments.

The AI Productivity Paradox

For years, the promise of AI has been a central theme in enterprise technology, with companies pouring billions into intelligent solutions. Yet, a growing body of evidence suggests a significant disconnect between spending and impact. A recent Gartner survey of nearly 800 IT leaders revealed that over 70% of enterprise AI projects are falling short of their expected returns. Similarly, a Bain & Company study found that while AI investment is accelerating, tangible business results have failed to keep pace.

The bottleneck, according to Kingsoft Office, isn't a failure of AI technology itself, but a failure of integration. Many powerful AI tools remain siloed in chat windows or separate applications. They can answer questions, summarize text, and generate ideas, but they rarely have the agency to execute tasks within the complex workflows where work actually happens. This leaves employees to act as manual bridges, copying and pasting information between the AI and their core applications, creating friction and limiting the potential for true automation and efficiency gains.

A New Architecture: From Assistant to Executor

At the LEAP EAST exhibition hall, Kingsoft Office demonstrated a starkly different approach. A product manager, new to the company, used a dashboard to initiate a complex task. Within minutes, the system autonomously accessed a CRM for customer data, analyzed over 300 requirements from a request-for-proposal document, and generated a comprehensive post-project review—all without a single file being opened manually. This is the 'Enterprise Brain Execution Layer' in action.

Instead of layering a chatbot on top of existing software, WPS 365 embeds AI as a core execution engine. This allows the AI to operate directly inside documents, spreadsheets, and presentations. It can redline contracts according to legal playbooks, analyze financial data within a spreadsheet to find anomalies, and build presentations from scattered reports, all while maintaining perfect format integrity and version control. This approach builds on Kingsoft Office's 38-year history in document processing, leveraging a deep understanding of how information flows through an organization.

"We've spent years co-creating with leading enterprises in finance, manufacturing, and government in China," said Xu Liu, Vice President of Kingsoft Office, in an interview at the event. "What we've learned is that organizational AI cannot be bought—it must be grown from the soil of a company's own data and real business workflows."

Qingzhou AI: Making Private AI Practical and Accessible

The technological heart of this new platform is Qingzhou AI, a lightweight, private-deployment architecture designed to overcome the two biggest hurdles for mid-sized and security-conscious enterprises: cost and data risk. Traditional on-premise AI solutions often require massive capital investment in racks of servers and high-end GPUs, putting them out of reach for companies without large, dedicated IT budgets.

Qingzhou AI upends this model. It is engineered to run on a single standard server, reducing infrastructure requirements by more than 95%. This remarkable efficiency is achieved through the use of CPU-friendly auxiliary models and a monolithic architecture that is simpler to deploy and maintain than complex microservices. For the first time, this makes powerful, private AI a viable option for a much broader segment of the market.

By enabling private deployment, Qingzhou AI directly addresses the non-negotiable requirement of data sovereignty. For organizations in sectors like finance, healthcare, and government, the risk of sending sensitive information to public cloud services is unacceptable. This architecture ensures that all data and AI processes remain securely behind the company's firewall.

Data Sovereignty: The 'Entry Ticket' for Organizational AI

"Data sovereignty is not a choice—it is the entry ticket for organizational AI," Liu stated, emphasizing the critical importance of data control in the modern enterprise landscape. This focus is particularly resonant in the Asia Pacific region, where data residency regulations are becoming increasingly stringent.

The WPS 365 platform is built for this global, compliance-driven environment. It supports 14 languages and operates through data centers in Germany, Singapore, and Japan, ensuring compliance with rigorous international standards like GDPR and SOC2. This commitment to security and data integrity provides enterprises with the confidence to deploy AI across their most critical business functions.

The measurable impact of this workflow-centric approach is already clear. In one documented case, a technology company applied Qingzhou AI to its complex legal review process, which involved over 400 review types and 20,000 business rules. The AI-powered system dramatically reduced the time spent per document from 140 minutes to just 40 minutes—a more than threefold improvement in efficiency. This case study provides a concrete example of how moving AI from a conversational partner to an active participant in workflows can yield substantial, quantifiable returns.

For businesses wrestling with the gap between the promise of AI and the reality of their bottom line, Kingsoft Office's pitch is refreshingly direct. It challenges the industry to look beyond smarter chatbots and focus on building AI that can actually do the work.

Topics & Related

Sector:
AI & Machine Learning
Software & SaaS
Theme:
Agentic AI
Artificial Intelligence
Event:
Product Launch
UAID: 42239