Products & Solutions

Document governance, trusted AI use cases and enterprise implementation, scoped to real business needs.

PRODUCTS & DELIVERY

Three services, from document governance to delivery

01

Enterprise digital assets & knowledge bases

Problem
Scattered documents, inconsistent versions and difficult retrieval.
Approach
Inventory documents and permissions, classify and organize them, then establish source references and update procedures.
Deliverables
Document inventories, registers, knowledge bases and usage and maintenance procedures.
02

Trusted AI agent use cases

Problem
Repeated preparation, missing information and conflicting facts in applications, R&D files, technology contracts and enterprise knowledge management.
Approach
Use authorized documents and rules to prepare checklists and drafts, flag missing information and inconsistencies, and submit outputs for human review.
Deliverables
Use-case configurations, workflow rules, output templates, acceptance criteria and user training.
03

Enterprise implementation & ongoing operations

Problem
Integrating new capabilities with existing systems and workflows, and maintaining documents and rules over time.
Approach
Map workflows, configure permissions and interfaces, run pilots and train users. Maintain documents, templates and rules under the agreed service scope.
Deliverables
Implementation plans, configured deliverables, training and acceptance materials, and operational review records.

Available features, deployment and deliverables are subject to the project demonstration, implementation plan and contract.

Four layers for sustainable enterprise AI

01

Enterprise Data Foundation

Structure contracts, application materials, patents, finance and project documents into maintainable, reusable enterprise data assets.

Deployment is project-specific
02

Trusted Business Agents

Execute tasks under SOPs and rule packs, with key steps inspectable, controlled and traceable instead of opaque generation.

Controlled intelligence
03

Process and Rule Engine

Encode operational workflows and enterprise criteria into rule packs so agents can expose gaps and preserve verifiable evidence.

SOPs as assets
04

Formal Outcome Ledger

Write reviewed outcomes back to formal ledgers and build a traceable, reusable operating-data loop that improves over time.

Reviewable · traceable

Four high-value entry points for enterprise AI

Frequent and essential01

High-Tech Enterprise Certification

Organize R&D projects, commercialization evidence, personnel systems, intellectual property and financial criteria into a material gap list and evidence chain.

Qualification development02

Specialized & Innovative SME

Map core business, innovation capability and operating-quality data against evaluation criteria and maintain a long-term development ledger.

Asset portfolio03

Intellectual Property

Connect patent discovery, technical-feature analysis and filing roadmaps to the R&D process, turning IP into a reusable operating asset.

Policy opportunities04

Project and Policy Matching

Compare enterprise profiles with national, provincial, municipal and county policies, highlighting potentially relevant windows and eligibility conditions.

EXPERIENCE

See files become business outcomes

Explore demos
Enterprise document workflow demoProcess demo

FROM FILES TO REVIEW

A clear process.
Reviewable results.

Upload files, read information, organize materials, review and produce results. Explore the workflow through video and interactive demos.

The video and data asset cockpit use example data, not actual customer counts, processing scale or operating results. Available features depend on the project demonstration and implementation plan.

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AI ShuPai · Product Demo

How enterprise files become reviewable outcomes

Upload files → read information → organize materials → human review → generate outcomes

This simulated workflow uses sample data and does not represent a specific client or application result. Actual outcomes depend on source completeness, deployment configuration and human review. The demo interface is currently presented in Chinese.