In the context of the ongoing global digital transformation, enterprises are facing multiple challenges such as data silos, fragmented systems, and dispersed business scenarios. The inability to integrate data, difficulty in coordinating processes, and high costs of implementing intelligent applications have become core obstacles restricting enterprises from achieving comprehensive intelligent transformation. The traditional "local optimization" model of digital tools can no longer meet the urgent demand for "full-link intelligent collaboration".

To address these pain points, SIXUNITED has launched its self-developed EAM Enterprise Agent Management platform (Enterprise Agent Management, abbreviated as "EAM platform"). Based on a four-layer technical architecture of "computing power - data - platform - scenarios," it deeply integrates the general capabilities of AI large models with the vertical needs of enterprise business, building a full-link collaborative system for data processing, intelligent decision-making, and scenario implementation. It empowers thousands of industries to build vertical AI models and intelligent agents, enabling enterprises to shift from "passively adapting to digitalization" to "actively mastering intelligence," truly unleashing the native value of data.

Technical Architecture: A Fully Integrated Intelligent Foundation

The SIXUNITED EAM platform is built on multiple AI large models, combined with RAG and Agent technologies, forming a technical closed loop of "scenario adaptation + process automation," transforming complex business needs into executable intelligent agent task flows. Leveraging the collaborative capabilities of the underlying architecture, the EAM platform has deeply covered multiple vertical industries such as government, finance, healthcare, education, and industrial manufacturing, providing customized intelligent solutions tailored to industry characteristics.

01 Underlying Support: Computing Power Foundation Solidifies the Intelligent Base

The stable operation of the EAM platform relies on computing power infrastructure composed of hardware and models, meeting diverse enterprise needs through "on-demand scheduling and flexible deployment." The local computing power layer integrates high-performance computing resources from hardware vendors such as Intel, AMD, and NVIDIA; AI large models incorporate mainstream platforms like DeepSeek, OpenAI, Qwen, and Meta. Additionally, depending on the enterprise's data security level, a hybrid architecture of "localized deployment + AI large models" can be provided to accommodate private deployment requirements, ensuring the security and stability of sensitive data processing.

02 Data Hub: Knowledge Storage Activates Data Assets

Data is the core asset of enterprises, but "storing without using" is a pain point for most. The EAM platform transforms scattered data into a business-driven intelligent engine through layered storage and intelligent processing, activating data value. It can cross-platform call structured business system data such as PLM, CRM, ERP, MES, while also supporting parsing and input of unstructured documents like PDF, Word, and PPT, achieving comprehensive data collection. Moreover, unlike traditional data middle platforms with short-term storage, the EAM platform's knowledge storage module has time-series analysis capabilities, automatically accumulating historical business experience to form a dynamically updated vector database, revitalizing reusable digital assets for enterprises.

03 Platform Core: Building an Intelligent Agent Collaborative Ecosystem

The EAM platform centers on "data intelligent agents + toolchain + publishing system" to create an intelligent agent collaboration network. Data intelligent agents focus on data processing needs in business scenarios, such as real-time monitoring of inventory fluctuations, analyzing order trends, and capturing market price data to provide precise inputs for decision-making; the MCP protocol links general function modules like text generation, data processing, and system calls. For example, in financial risk control scenarios, MCP tools can automatically capture industry reports and public opinion data, combining models to generate risk warning reports; finally, publishing agents convert processing results into business-usable terminal forms, supporting PDF report generation, DingTalk/WeChat Work push notifications, enabling seamless "perception-analysis-decision-execution" in business processes.

Scenario Empowerment: Deep Implementation of Multi-domain Solutions

The EAM platform's AI tools deeply cultivate industry needs, creating intelligent agents based on these needs to achieve process optimization and efficiency improvement, avoiding the "unsuitability" problem of general AI tools. It has already integrated intelligent solutions across multiple domains, covering core business scenarios such as R&D, supply chain, human resources, marketing, and project management.

01 BOM Inspection Tool

Based on the BOM comparison tool, it provides structured data analysis and management capabilities for complex BOM (Bill of Materials) scenarios in industries like electronics manufacturing. The tool can automatically parse BOM hierarchical relationships, identify material parameter conflicts, redundancies, or omissions, assisting engineers in accurately verifying material configurations during the R&D phase, reducing production rework costs caused by BOM errors. It is especially suitable for enterprises developing multiple product models in parallel, improving the connection efficiency from design to intelligent manufacturing.

02 HR Interview Assistance Platform

Based on competency scenarios, an AI interview assessment system is constructed using preset job competency tags (such as technical skills, communication ability, teamwork) to perform semantic analysis of candidate responses. The tool can automatically extract key information, match job requirement matrices, and generate structured assessment reports, assisting interviewers in quickly identifying candidate strengths and risks. Meanwhile, the system supports interview process standardization, reducing subjective bias and enhancing the scientific nature of recruitment decisions.

03 Data Dashboard

Building a real-time data dashboard system covering four dimensions: projects, finance, inventory, and sales, achieving multi-dimensional data correlation analysis and dynamic presentation through AI algorithms. The project dashboard tracks task progress, resource allocation, and risk nodes in real time, intelligently warning of delay risks and providing adjustment suggestions; the financial dashboard intelligently analyzes income and expenditure trends, monitors financial data in real time, identifies abnormal expenses, and correlates business scenarios to analyze causes; the inventory dashboard dynamically displays material turnover rates, safety stock warnings, and obsolete material proportions, assisting the supply chain department in optimizing inventory strategies; the sales dashboard updates order volume, customer repurchase rates, and regional sales trends in real time, supporting sales target breakdown and channel effectiveness evaluation.

Value Essence: Leap from Technical Architecture to Business Efficiency

The core competitiveness of SIXUNITED's EAM platform lies in transforming complex AI technologies into practical enterprise productivity. By automating repetitive tasks with intelligent agents, it frees human resources for high-value decision-making; data intelligent agents' compliance checks and real-time risk warning models help enterprises avoid multi-dimensional risks in policies, markets, and production; flexible computing power scheduling and model integration capabilities support rapid market response. For enterprises, the EAM platform is not just a software system but a continuously evolving intelligent partner. As business data accumulates, knowledge storage and intelligent agent capabilities will iterate synchronously, forming a positive cycle of "data feeding algorithms, algorithms optimizing business."

At the critical juncture of enterprise digital transformation, the essence of competition is the competition of "digital productivity." SIXUNITED's EAM platform connects the full-link closed loop of computing power, data, tools, and scenarios, providing enterprises with a "configurable, scalable, and evolvable" intelligent management platform, helping them build long-term, humanized digital competitiveness in a rapidly changing market. In the future, SIXUNITED will, as a full-stack AI solution leader, leverage the EAM platform to drive more efficient production, more inclusive services, and warmer growth, making AI technology truly "for people, with kindness," building a human-machine integrated, inclusive, and open digital ecosystem amid grand technological transformations.