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Connected operations are the foundation of enterprise intelligence.

Put Data and AI
to Work in Your Business

Connect business systems, unify enterprise data, and build intelligent applications.
From ERP and BI to enterprise data platforms and AI agents, build digital capabilities that evolve with the business.

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Enterprise Operations Center
Operations overviewJanuary to June · Sample data
Revenue1,286CNY 10K
Gross Margin23.6%
Inventory Days32days
Revenue Trend / CNY 10KMoM +8.2%
JanFebMarAprMayJun

Current card: Overview

More systems.
Why do decisions still depend on Excel and experience?

Systems Operate in Silos

ERP, CRM, MES, WMS, and finance systems run independently. The number of systems keeps growing, yet end-to-end workflows remain disconnected.

Fragmented workflows / Duplicate data entry

More Data. Slower Decisions.

Metrics are defined differently across teams, and data still requires manual preparation. Leaders can see reports, but often lack a timely, complete view of business performance.

Inconsistent definitions / Delayed analysis

AI Is Promising. Deployment Is Hard.

Models are capable, but they often lack trusted data, business context, and connections to real operational workflows.

Missing context / Hard to operationalize

Real digital transformation connects business, data, and intelligence.

A practical path to transformation,
with business value at every step.

Connect operations, understand data, and introduce intelligence through three linked stages grounded in where your business is today.

01

CONNECT

Connect Operations

Start with core workflows and bring everyday operations online. Build, improve, and integrate enterprise systems to create a connected foundation for collaboration.

  • ERP / CRM / MES / WMS
  • Finance & Office Automation
  • APIs & Systems Integration
SalesProcurementProductionInventoryFinance
Connected operationsOne end-to-end workflow

Turn disconnected systems into connected operations.

02

UNDERSTAND

Understand Data

Turn fragmented data into consistent, trusted information. Establish shared metrics and analytical views so business performance becomes clear and traceable.

  • Enterprise Data Platforms & Governance
  • BI & Executive Dashboards
  • Margin & Cost Analysis
Business DataShared DefinitionsBusiness Insights ↗

Turn accumulated data into a foundation for decisions.

03

INTELLIGENCE

Apply Intelligence

Ground AI in real operations and trusted data. Enable it to support analysis, judgment, and execution so insights can lead to action.

  • AI Agents / RAG
  • Enterprise Knowledge Base
  • Workflow Automation
Understand RequestRetrieve & AnalyzeHuman ReviewTake Action

Evidence-led analysis. Controlled action.

Bring useful intelligence into real workflows.

From operational foundations to intelligent applications.

End-to-end engineering and delivery capabilities connect planning with execution.

01Business SystemsEnterprise SystemsBuild the digital foundation for sales, procurement, inventory, production, supply chain, and finance.

From ERP implementation and custom development to system optimization and ongoing support, we translate real business processes into reliable systems. We support new initiatives while helping existing investments continue to deliver value.

  • ERP Implementation & Optimization
  • Custom Business Workflows
  • System Support & Continuous Improvement
Discuss your business needs
02Data & Business IntelligenceData & AnalyticsUnify enterprise data, establish shared metrics, and build BI and executive dashboards that make business performance visible and traceable.

We connect existing data sources, establish common data models and metric definitions, and build analytical views around revenue, margin, cash, and inventory.

  • Enterprise Data Platforms & Warehouses
  • Data Governance & Metric Frameworks
  • BI & Executive Dashboards
Discuss your business needs
03Enterprise AIAI & KnowledgeConnect AI agents, RAG, enterprise knowledge bases, and large language models to trusted data and real workflows.

We start with a clearly defined business problem, then give AI access to the enterprise knowledge and system capabilities permitted by its role. Answers remain evidence-based, and actions stay within defined boundaries.

  • Enterprise Knowledge Bases & RAG
  • Intelligent Analysis Assistants
  • AI Agents & Model Integration
Discuss your business needs
04Integration & AutomationConnected OperationsConnect systems through APIs, workflows, RPA, and messaging to reduce repetitive work and eliminate breaks in collaboration.

We map data exchanges and process dependencies between systems, then connect duplicate entry, status synchronization, and cross-system approvals with clear handling, audit records, and ownership when failures occur.

  • APIs & Systems Integration
  • Cross-System Workflow Automation
  • Messaging & Data Synchronization
Discuss your business needs
05Digital Transformation ConsultingDigital ConsultingFrom business assessment and solution design to launch and continuous improvement, we work with organizations to define a practical transformation path.

We consider business goals, current systems, data readiness, and team capabilities together, then define the implementation scope, milestones, and acceptance criteria.

  • Current-State Assessment
  • Digital Blueprint & Roadmap
  • Delivery Planning & Continuous Improvement
Discuss your business needs

Industry depth reveals every link in the chain.

We start with real operating workflows to find the right digital path for each business.

Robotic arms on an automated factory floor
Smart manufacturing scene, for illustration only / Image source: Unsplash ↗

Industry / Manufacturing

From a Single Order to a Connected Production Flow.

Connect orders, work-order breakdown, materials, production, shop-floor reporting, and goods receipt, while carrying cost and performance analysis through the entire production process.

  1. Orders & Materials
  2. Production & Reporting
  3. Inventory & Cost
  4. Business Analysis

ERP / Production Management / Inventory / Cost / BI / AI

Discuss your industry needs

AI & DATA

The value of AI lies in the business,
not the model.

Connect data, knowledge, and workflows so intelligence has the business context it needs to be useful.

  1. 01Business operations
  2. 02Trusted data
  3. 03Business context
  4. 04AI Agent
  5. 05Business action

AI Agents

Support information retrieval, analysis, judgment, collaboration, and business execution.

Enterprise Knowledge Base

Connect internal documents, policies, product information, and project experience.

RAG

Ground responses in trusted enterprise context with traceable sources.

Intelligent Data Analysis

Query data in natural language, understand causes, and develop decision recommendations.

Workflow Automation

Connect approvals, orders, procurement, and inventory across systems.

LLM Integration

Select and integrate models based on security, cost, performance, and business needs.

Make the value of technology
visible in business performance.

Client story Illustrative Case

Gangzhong Building Materials / Enterprise Data Platform & BI

From Fragmented Data to a Unified View of Business Performance.

Data was distributed across ERP, U8C, expense systems, and spreadsheets. Business analysis and margin calculations depended on manual preparation, making consistent definitions difficult to maintain.

ERPU8CExpense SystemExcel
Unified data platformOne model · One definition
SalesProfitCashInventoryCustomers

One entry point for a clear view of the business.

Challenge

Fragmented data and analysis dependent on manual work.

Approach

Connect data sources and establish consistent metrics.

Outcome

Analyze performance across customers, orders, and products.

From understanding the problem to continuous evolution.

Each stage has a clear objective so business and technology teams can move forward together.

  1. 01

    DISCOVER

    Business Discovery

    Understand business processes, current systems, and the core problems to solve.
  2. 02

    DESIGN

    Solution Blueprint

    Define the target architecture, delivery scope, and phased implementation plan.
  3. 03

    BUILD

    System Implementation

    Complete configuration, development, and business capability delivery.
  4. 04

    CONNECT

    Data Integration

    Connect systems, unify data, and establish end-to-end workflows.
  5. 05

    LAUNCH

    Go-Live & Handover

    Complete testing, training, migration, and operational readiness.
  6. 06

    EVOLVE

    Continuous Improvement

    Continue evolving systems and intelligent capabilities as the business grows.

Digital transformation is not a project.
It is an enterprise capability that keeps evolving.

About technology, and about business.

Insights / Practical perspectives on making digital transformation work.

AI & DataDraft Perspective

What does it take to move from a model that can answer questions to AI that an enterprise can rely on?

Enterprise DigitalizationDraft Perspective

Business systems record what happened. A shared data foundation helps explain why.

Engineering & PracticeDraft Perspective

The shift is from navigating interfaces to expressing outcomes, with understanding, tools, and business controls working together.

An open technology ecosystem, grounded in practical choices.

We respect the systems you already use and combine technologies around real requirements.

Build on the Systems Already in Place

Enterprise Systems

  • Odoo
  • Kingdee
  • Microsoft
  • DingTalk
  • ERP / CRM / MES / WMS

Combine the Technologies That Fit the Need

AI & Data

  • PostgreSQL
  • Apache Superset
  • Alibaba Cloud
  • OpenAI
  • Claude
  • DeepSeek

The technologies and platforms above can be integrated where appropriate. All brand names belong to their respective owners and do not imply an official partnership or certification.

Anyan Cloud Intelligence brand symbol

About Anyan Cloud Intelligence

Business Understanding. Technical Depth.

Anyan Cloud Intelligence focuses on enterprise digitalization, systems integration, data analytics, and enterprise AI. From process discovery through implementation, we work with organizations to build digital capabilities that continue to evolve.

Start with One Real
Business Problem.

Tell us the business, data, or AI problem you most want to solve. Together, we can identify a practical path forward.

Phone186 6199 9203Emailyin@anyaninfo.com
AddressRoom 915, Building A, Jinhainiu Industrial Park, No. 700 Qingshan Road, Qingdao
WeChat contact QR code
WeChat

Tell us where your business stands.
We can start with one specific problem.

Insights / AI & Data / Draft Perspective

Why Must Enterprise AI Be Built on a Data Foundation?

What does it take to move from a model that can answer questions to AI that an enterprise can rely on?

Define the Business Question Before Choosing a Model

Enterprise AI can begin with one clearly bounded question: Why did order margins change? Why is inventory building up? How should a specific policy be applied? Defining the problem, the user, and the expected action makes it possible to determine which data is needed and how results should be evaluated.

Trusted Data Starts with Shared Definitions

If revenue, cost, and profit are defined differently across systems, language capability alone cannot resolve the conflict. Organizations should first establish metric definitions, data sources, update cycles, and accountable owners before making the data available to AI.

Context and Access Controls Matter Too

Enterprise knowledge includes more than documents. It also includes business rules, organizational relationships, and user permissions. Retrieval and tool use should respect existing access boundaries, and responses should reference their sources whenever possible so users can verify them.

Move Results into Controlled Workflows

Begin with search and analysis, then gradually connect AI to operational actions. Steps involving approval, data writes, or external communication should follow the organization’s confirmation and audit requirements. Continuous evaluation against real business questions is the only way to determine whether AI is creating value.

Anyan Cloud Intelligence / Enterprise Digital Transformation and Intelligent ApplicationsContact us ↗

Insights / Enterprise Digitalization / Draft Perspective

Why Do Enterprises Need a Data Platform After ERP?

Business systems record what happened. A shared data foundation helps explain why.

Business Systems and Performance Analysis Serve Different Needs

ERP supports daily processes such as orders, procurement, inventory, and finance. Business analysis often also requires expenses, customer data, cash information, and supplementary spreadsheet data. Cross-system and cross-period analysis cannot always be handled effectively by a single operational system.

From Combined Tables to Shared Definitions

Bringing tables together is only the starting point. Enterprises need consistent definitions for customers, products, organizations, and metrics, while preserving data lineage and transformation history. This allows different departments to discuss performance using the same basis.

Build in Stages Around One Business Theme

Start with a focused topic such as margin or inventory. Identify data sources, owners, and acceptance criteria, then deliver a useful analytical view before expanding. This keeps the platform tied to business outcomes instead of allowing it to become an oversized technical project.

The Need for a Platform Depends on Real Complexity

Organizations with few data sources and clear definitions may begin with lightweight integration and BI. An enterprise data platform is both an organizational and technical arrangement. Its value should be measured through analytical efficiency, traceability, and actual use.

Anyan Cloud Intelligence / Enterprise Digital Transformation and Intelligent ApplicationsContact us ↗

Insights / Engineering & Practice / Draft Perspective

How Will AI Agents Change Enterprise Software?

The shift is from navigating interfaces to expressing outcomes, with understanding, tools, and business controls working together.

From Following Steps to Expressing a Goal

Traditional software requires users to understand menus and operating sequences. An agent can help users express a goal, retrieve information within its authorized tools, break down the task, and prepare the required actions. Its value still depends on reliable underlying business systems.

Tool Interfaces Define What Can Be Done

Callable APIs, clear inputs and outputs, and queryable execution states matter more than a polished chat interface. Every tool should define permissions, prerequisites, and how failures are handled.

Business Actions That Can Be Reviewed and Traced

Checking inventory and creating a purchase order carry different levels of risk. Actions that change business state need confirmation flows that match enterprise rules, together with records of the request, supporting evidence, and execution.

Start with One Small, Reliable Loop

Prioritize a scenario with clear steps and verifiable results, such as checking order status and summarizing exceptions. Validate it with real tasks before expanding into cross-system collaboration, then build maintainable agent capabilities over time.

Anyan Cloud Intelligence / Enterprise Digital Transformation and Intelligent ApplicationsContact us ↗

Client story / Illustrative Case

Gangzhong Building Materials
Enterprise Data Platform & BI

The client's challenge

Data was distributed across ERP, U8C, expense systems, and spreadsheets. Business analysis and margin calculations depended on manual preparation, making consistent definitions difficult to maintain.

What we did

We established a unified enterprise data platform, connected core data sources, and built shared metrics and analytical dashboards for sales, profit, cash, inventory, and customers.

The outcome

Management gained a single data entry point and could analyze performance across customers, orders, products, and other dimensions.

This story is based on the example in the homepage brief. The project description and permission to identify the client must be confirmed before publication.

Discuss a similar need

Contact Anyan Cloud Intelligence

Let's talk about your business challenge.

Choose the contact method that works for you. Tell us which systems you use, what is getting in the way, and what you want to change.

Phone186 6199 9203Emailyin@anyaninfo.com
AddressRoom 915, Building A, Jinhainiu Industrial Park, No. 700 Qingshan Road, Qingdao
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