In today's era where generative AI is moving to the edge, AI is no longer just an external efficiency tool; it is becoming an "endogenous capability" of enterprise organizations and processes. McKinsey's March 2025 report "The State of AI: How Organizations Are Restructuring to Capture Value" shows that 78% of respondents said their organizations use AI in at least one business function, a significant increase compared to 72% in 2024 and 55% in 2023, fully demonstrating the rapid adoption and importance of AI in enterprises.

AI fundamentally differs from all previous technologies in human history: it is no longer just a tool but a form of "intelligence." However, most enterprises currently remain in the "trial" phase of AI application. For example, using ChatGPT or DeepSeek to write emails, translate documents, or have AI handle basic customer service Q&A are far from unleashing AI's true potential. As a leader in full-stack AI solutions, SIXUNITED has chosen a more challenging yet certain path of AI empowerment: partnering with Intel's AI Transformation Program to comprehensively integrate AI from devices, platforms to applications through a "software-hardware integrated" approach, deeply embedding large model technology into business foundations, promoting AI from "simple applications" to "rooted in enterprises," becoming a "platform-based productivity."

Platform-based Promotion of AI Endogenization 
Building a Closed Loop "From Interaction to Middle Platform"

We are accelerating into the "second half of AI," where intelligence itself is no longer a scarce resource; the real scarcity lies in the ability to build intelligence and create value within business scenarios. Unlike "single-point applications," SIXUNITED promotes AI endogenization through a platform approach. On one end is the AI Assistant 3.0 for individuals and teams, and on the other is the EAM Enterprise Intelligent Agent Management Platform (hereinafter "EAM Platform") for enterprise-level governance and integration. Together, they form a complete closed loop "from interaction to middle platform," supporting AI application deployment across all enterprise scenarios.

AI Assistant 3.0: A Powerful Partner for Individuals and Teams 
On the individual and team side, SIXUNITED's AI Assistant 3.0 includes core modules such as local knowledge base queries, account systems, chatbots, meeting minutes, privacy mode, and model stores. It has completed local deployment and adaptation of large models including Llama4-109B, DeepSeek-R1-70B, and gpt-oss-120B, enabling natural offline conversations with users and supporting practical functions like meeting minutes, smart notes, AI PPT generation, document summarization, and text-to-image generation, greatly improving office efficiency. SIXUNITED's AI Assistant 3.0 has evolved from simply "being able to converse" to a capable partner in personal and team work that "can perceive, execute, and collaborate."

EAM Platform: A Leap in Enterprise Knowledge Base and Intelligent Decision-Making 
At the enterprise level, the EAM Platform centers on "knowledge—data—permissions—processes," providing comprehensive and powerful capabilities. It achieves organic integration of vector databases, long-term memory, structured and unstructured data, leveraging locally deployed model capabilities. By connecting PLM/CRM/ERP/MES/DingTalk and other systems, it accomplishes system integration and data collaboration, thereby unifying the orchestration of "data—computing power—intelligent agents." This builds an intelligent, systematic decision-making chain for enterprises, breaks down underlying data barriers, reasonably allocates permissions, and uses the A2A protocol for seamless communication between intelligent agents, realizing an intelligent decision-making system that upgrades "personal AI" to "organizational AI," providing solid data support for enterprise decisions.

Notably, SIXUNITED's EAM Platform also introduces three key features: 
Memory Update: The EAM Platform has dynamically updated "long-term memory" that can automatically absorb the latest knowledge and process changes from user feedback, avoiding information lag and keeping AI aligned with business progress.

Intent Tag Recognition: The EAM Platform can intelligently understand the true intent behind user operations, quickly generating semantic tags through model fine-tuning. The more user feedback it receives, the smarter the intelligent agents become, facilitating cross-department collaboration and task assignment execution.

System Message Notifications: The EAM Platform can proactively send alerts, progress reminders, exception reports, or to-do items through systems, DingTalk, WeChat Work, and other channels, supporting push notifications to all employees or groups, ensuring every link in the business chain receives real-time attention, forming a true execution closed loop.

These capabilities make the EAM Platform not only an enterprise knowledge management platform but also the enterprise's "intelligent brain," continuously evolving and iterating.

SIXUNITED's AI Evolution Theory

First Achieve AI, Then Let AI Achieve the Enterprise

In SIXUNITED's AI evolution theory, AI is no longer just an auxiliary role but a "new colleague" within the enterprise. This "colleague" has unlimited memory, vast knowledge, round-the-clock working ability, and continuously evolving intelligence. What enterprises need to do is first provide it with knowledge, data, tools, permissions, and workflows to grow into a truly problem-solving "intelligent employee"; then let the intelligent agent drive efficiency improvements and value creation in business scenarios, forming a positive cycle. First achieve AI, then let AI achieve the enterprise.

Scenarios are the "smallest units" for implementing enterprise intelligent transformation. Scenarios with many employees, many customers, high costs, frequent interactions, and requiring complex knowledge and judgment are the "native scenarios" where AI can create huge value. Choosing the right scenarios is more important than blind transformation. Currently, SIXUNITED has deeply empowered AI in multiple core scenarios such as product R&D, procurement supply chain, human resources recruitment, and business management.

01 Product R&D and Project Management: Assisting Decision Chain Optimization

With the EAM Platform knowledge base management, R&D engineers and sales personnel can quickly complete product specification searches, BOM checks, and other operations, significantly reducing "ineffective communication" and "repetitive work." When the EAM Platform is fully connected with PLM/CRM/ERP/MES/DingTalk systems, project progress, material status, process changes, etc., will be included in the AI "decision chain." Intelligent agents can automatically trigger alert reminders, generate exception reports, or initiate work orders, achieving an automated closed loop from knowledge acquisition to action execution, greatly improving the efficiency and accuracy of product R&D and project management.

02 Procurement Supply Chain: Data-Driven Intelligent Decision-Making

Through data intelligent agents such as "Key Part Latest Price Query" and "Inventory-Order-History-Price," SIXUNITED's procurement supply chain personnel can gain real-time insights into market price fluctuations and supply risks, seizing negotiation windows in advance. Combined with the EAM Platform's long-term memory function, the system can proactively issue delivery delay warnings and provide alternative solution suggestions, realizing intelligent supply chain decision-making, helping enterprises better respond to market changes, and reducing procurement costs and risks.

03 Human Resources Organization: Intelligent Matching to Improve Talent Recruitment Efficiency

In the interview and resume screening process, the HR department of Liulian Intelligent uses HR interview tools to automatically match resumes based on job requirements. This tool also integrates the enterprise knowledge base and long-term memory to assist HR and hiring departments in evaluating candidates, recording interview summaries, and formulating onboarding training plans. This series of functions significantly shortens the recruitment cycle, improves the matching of talent to positions, selects more suitable talents for the enterprise, and enhances the level of human resource management.

04 Business Management: Data Insights for Precise Decision-Making

At the business management level, the management of Liulian Intelligent can monitor the penetration and value feedback of AI applications within the enterprise in real time by accessing backend data dashboards such as page views, active users, AI expert usage statistics, knowledge base usage statistics, and model usage statistics. This shift from "people looking for data" to "data finding people" enables management to make more precise decisions based on data, optimizing the company's operational management strategies.

Engineering of Models and Inference

Diverse Selection, Pragmatic Implementation

Liulian Intelligent's full-stack AI solution does not blindly follow the "bigger is better" approach but strikes a scientific and reasonable balance among general-purpose, inference, and multimodal models. Currently, Liulian Intelligent's local side has adapted multiple models such as gpt-oss-120B and Llama 4-Scout 109B, while also incorporating Doubao into the cloud adaptation pool, forming an elastic orchestration between local and cloud. This layout both ensures privacy data security and retains peak processing capabilities for complex tasks, guaranteeing the practicality and reliability of AI solutions.

Empowering Thousands of Industries with AI

Embracing a New Quality Future

The wave of AI is unstoppable. Throughout human history, every technological advancement has brought new leverage. Today, the greatest leverage is the "intelligent agent leverage." In the past, scaling relied on manpower, products, and capital; now, business and scenarios can be massively restructured through AI intelligent agents. The perception, understanding, and generation capabilities of artificial intelligence will extend the boundaries of human-machine collaboration to every corner of the enterprise, ultimately forming an organic resonance of "human-machine-process-data." At that time, the growth speed and return on investment of enterprises may enter a new era of hundreds or thousands of times increase. AI will no longer be just a tool but will become an indispensable intelligent foundation for enterprises, deeply integrated into every business process management, comprehensively improving collaboration efficiency.

SIXUNITED has already formulated a clear roadmap and built a mature platform, waiting only for enterprises to actively apply it so that AI can truly "grow within the organization." This is the intelligent answer Liulian Intelligent offers in the AI era and our solid confidence in going global. AI has arrived, and the future has begun. Liulian Intelligent will work with thousands of industries to leverage intelligent agents to drive new quality productivity and achieve a global intelligent future.