北京瀛企科技

Vertical AI Agent Customization

Covering trade inquiries, overseas social media, factory production management, brand knowledge bases and more, with private deployment support

What Is AI Agent Customization?

We build industry-specific AI agents tailored to global enterprises, deeply embedded into business workflows to enable intelligent operations and decision-making. Supports private deployment to ensure data security and compliance. Learn more about our AI agent practices, or explore our success stories.

The Core Value of AI Agents

Why do enterprises need AI agents?

24/7 Automated Response

Instantly handle customer inquiries and business requests without human staffing

Lower Labor Costs

Automate repetitive tasks and free up your team for higher-value work

Better Decision Quality

Data-driven insights that support smarter business decisions

Secure, Controllable Data Protection

Supports private deployment, keeping sensitive data within your internal network

Four Core Use Cases

Deep vertical expertise, precisely solving business pain points

1

Trade Inquiry Automation

Intelligently identify customer needs and auto-generate personalized replies, improving inquiry conversion and response efficiency

2

Overseas Social Media Operations

Multi-platform content publishing, smart engagement management, and data-driven optimization to reduce operating costs

3

Smart Factory Production Management

Optimized production scheduling, quality monitoring alerts, and predictive equipment maintenance to boost efficiency and quality

4

Brand Knowledge Base Construction

Enterprise knowledge integration, intelligent Q&A systems, and staff training support to build an organizational intelligence hub

Technical Service Process

A five-step strategy for systematic AI agent deployment

1

Requirements Discovery

In-depth interviews with business teams to identify pain points, map workflows, and define AI-driven goals

2

Solution Design

Custom AI agent architecture, human-AI collaborative workflow design, and data integration planning

3

Model Training

Fine-tune models on industry-specific data, build a domain knowledge base, and optimize reasoning logic

4

System Integration

Integrate with existing business systems (ERP/CRM/MES, etc.), deploy the agent, and complete testing

5

Launch & Operations

Validate results via phased rollout, continuous monitoring and optimization, plus ongoing support and upgrades

Delivery Process

Four-stage delivery ensuring high-quality launch and long-term operations

1

Stage 1: Consultation & Planning

Duration: 2-3 weeks
Business Discovery ReportAgent Design ProposalTechnical Architecture Diagram
2

Stage 2: Development & Training

Duration: 4-8 weeks
Domain Model Fine-TuningKnowledge Base Build-outAPI Development
3

Stage 3: Integration & Deployment

Duration: 2-4 weeks
System IntegrationPrivate DeploymentUser Training
4

Stage 4: Operations & Iteration

Duration: Ongoing partnership
Operations MonitoringPerformance OptimizationFeature Iteration

Start Your AI Transformation

Talk to our dedicated expert team to design your industry AI agent

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