AI-WorkForce Platform产品图
AI & Data IntelligenceProducts & Services

AI-WorkForce Platform

AI-WorkForce is an AI transformation platform for manufacturing. Acting as the intelligent adhesive layer of the enterprise digital ecosystem, it connects data, knowledge, models, processes and legacy systems, and drives AI to safely and cost-effectively enter the business closed loop through business assistants and digital employees.

Key Features

Zero-disruption Integration of Legacy Systems
Reuses existing systems such as PLM, MES, ERP and CRM — no need to tear down and rebuild.
Dual Modes — Business Assistant & Digital Employee
Assists humans in making decisions, and can also execute complex processes across systems.
No-code Visual Building
Business experts build AI applications on a canvas, lowering development barriers and costs.
Dual Data & Semantic Engines
Uniformly processes structured data and unstructured knowledge to form trustworthy business semantics.
Multi-agent Workflow Orchestration
Orchestrates task planning, models, knowledge and legacy systems into a complete business closed loop.
Intelligent Model Routing & Cost Control
Dynamically selects models based on task complexity, balancing effectiveness and compute cost.
Enterprise-grade Security & Unified Management
Uniformly manages identity, permissions, runtime status and dispersed AI assets.
FDE Engineers Accompany the Full Journey
From scenario identification to effectiveness validation, continuously drives deep integration of AI and business.

Core Values

R&D Avatar
Automatically parses drawings and generates SOPs, shortening the R&D documentation cycle.
Production Quality-Inspection Avatar
Fuses equipment, process and material data to quickly locate root causes of quality anomalies.
Supply Chain Avatar
Analyzes inventory and replenishment needs across systems and automatically advances procurement processes.
Sales Avatar
Intelligently reviews contract clauses, identifies risks and recommends revisions.
Service Avatar
Parses repair requests, matches knowledge and cases, and automatically generates work orders and spare-parts tasks.
Enterprise AI Operations Governance
Uniformly manages agents, costs, permissions and runtime risks, supporting large-scale deployment.

Technical Architecture

AI-WorkForce Platform技术架构图

AI-WorkForce adopts a layered architecture of “business touchpoints — intelligent orchestration hub — dual-mode business access — legacy system foundation”.

  • The upper layer covers business touchpoints such as R&D, production, supply chain, sales and service;

  • the middle layer uniformly orchestrates knowledge, models, processes and legacy systems;

  • the business access layer provides two modes — business assistant and digital employee;

  • the bottom layer reuses existing systems such as PLM, MES, ERP and CRM for zero-disruption integration.

  • At the foundation, the platform connects business data with unstructured knowledge through multi-source heterogeneous data integration

  • builds a business data map and multimodal semantic knowledge using data and semantic engines

  • and then links processes, entities, tables, reports, knowledge items and document topics through a metadata knowledge graph

  • providing AI applications with unified, trustworthy semantic orchestration logic

Industry Applications and Typical Scenarios

Manufacturing
R&D Stage
Typical Scenario：Drawing parsing and intelligent SOP generation ——SOP preparation cycle shortened by over 70%; documentation workload reduced by 80%
Production Stage
Typical Scenario Intelligent analysis of quality anomalies ——Root-cause analysis 10x faster; anomaly detection rate improved by 50%
Supply Chain Stage
Typical Scenario Inventory optimization and procurement execution ——Procurement process time shortened by 70%
Sales Stage
Typical Scenario Intelligent review of contract clauses Review efficiency improved by 95%; risk-clause detection rate exceeds 98%
Service Stage
Typical Scenario Intelligent after-sales service First-contact resolution rate improved by 50%; customer satisfaction improved by 35%

Frequently Asked Questions （FAQ）

Q: What is the relationship between AI-WorkForce and the enterprise's existing PLM, MES, ERP and CRM systems?
Q: How is AI-WorkForce different from ordinary knowledge Q&A or agent platforms?
Q: What is the difference between a business assistant and a digital employee?
Q: Can business personnel build AI applications on their own?
Q: How long does it take for the product to go live?
Q: How is the ROI of AI projects measured?
Q: How are model call costs controlled?
Q: How are AI applications kept safe and controllable?
Q: How does Sinosec help enterprises achieve business integration?