Enterprise AI

AI outside the process
is just a demo

For government bodies and enterprises, SKY CULTURE TECHNOLOGY LIMITED provides a full-stack solution spanning data governance, business-process digitization, AI agents, RAG knowledge bases, private deployment of large models and long-term AI coaching — starting from POC validation and progressing into a recurring, operable AI application system.

Architecture

Four-layer technology architecture

From the data governance layer at the bottom to the industry application layer at the top, each layer can be delivered on its own or built as a whole.

04

Industry applications

AI document review · contract & finance audit · data analytics · natural-language analytics · digital media operations

03

Agent applications

Knowledge Q&A · document processing · finance audit · data analytics · custom agents

02

Agent platform

Unified AI model access · external system integration · reusable skill modules · automated workflow orchestration

01

Data governance

Data collection & ingestion · cleaning & governance · knowledge base RAG build · vector semantic search

治Full-chain data governance

Data governance platform, data visualization and industry insight, industry-specific information systems, and business-process digitization.

问AI for BI / natural-language analytics

Let business users query data in natural language; a data analytics agent returns results automatically.

识RAG knowledge base

Enterprise knowledge Q&A, retrieval-augmented generation and an orchestration platform that keeps organizational knowledge findable, usable and actionable.

员Custom AI agent development

Build executable, iterable digital employees for specific roles and processes, available 24/7.

部Private deployment of large models

Plan the deployment path around security, cost and business scenarios, with multimodal large-model application development.

陪Long-term AI coaching

Continuous support from POC validation to organizational capability building — AI tooling, process redesign and a content hub.

Clients

From POC to recurring orders

Starting from POC validation and progressing into ongoing collaboration. Throughout the year we host industry salons, technical forums and case-sharing sessions.

Government & Justice

Government and justice

Government and justice authorities, administrative and judicial systems — with AI document governance and digital workforce training delivered.

Enterprise

Enterprises and brands

Telecom and digital-operations groups, multinational consumer brands, and lifestyle service platforms.

Culture & Tourism

Culture and tourism

Provincial and municipal culture and tourism authorities, museums and heritage institutions — full-area AIGC tourism films and digital IP development.

FAQ

Enterprise AI: common questions

Why can't an enterprise AI project stop at a demo?

A demo only proves something is possible, not that it is useful. An AI project must start from a business scenario and be designed around data, knowledge, process, permissions, cost and collaboration. Entering real workflows, removing repetitive work and consolidating organizational knowledge is what delivers efficiency.

Can a company with unorganized data go straight to AI agents?

Not recommended. Documents, processes and cases that have not been governed rarely become a usable knowledge base — answers may look correct but fail in real use with gaps, inconsistent definitions and unclear permissions. Solutions usually start at the data governance layer.

Who maintains the system after delivery?

An AI project is not finished at launch; the knowledge base, prompts, workflows, permissions and cost rules need ongoing adjustment from feedback. SKY provides long-term AI coaching to help organizations build their own operating capability.