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ENTERPRISE AI WORKBENCH

Bring natural language into real enterprise work

Mingxi AI puts files, projects, knowledge, web research, multiple models and task execution into one workspace, then uses Agents, industry Skills and Harness governance to connect enterprise workflows.

What business problem does this solve?

An enterprise AI workbench is more than a chat window. It is a common place for employees to initiate tasks, for Agents to use authorized knowledge and tools, and for managers to review processes and outcomes. It can connect to existing ERP, CRM, PMS, ticketing and collaboration platforms without first replacing them.

Core capabilities

01

Projects, files and knowledge

Organize continuous work by project and use authorized enterprise sources to produce reports, spreadsheets, presentations and business outputs.

02

AI Agents and industry Skills

Turn role-specific tasks and industry workflows into reusable capabilities that authorized business users can improve.

03

Harness permission and security

Control identity, data scope, tool calls, human approvals, staged release, rollback and audit records.

04

Multi-model cost governance

Route tasks by quality, speed and cost requirements, and record latency, errors and resource use.

How it enters real enterprise operations

01

Choose one high-value workflow

Define the current process, human touchpoints, systems, data, permissions and acceptance baseline.

02

Configure the Agent and Skill

Connect the necessary sources and tools, then complete test cases and human review in a sandbox.

03

Run a limited pilot

Start with one team or role group and record accuracy, closure rate, cost and actual usage.

04

Expand after acceptance

Extend to more teams, regions and scenarios while preserving versions, approvals and rollback.

Who it is for

Delivery and evidence boundaries

The main Mingxi AI workbench capabilities are available. Customer databases, organization permissions, ERP/PMS/CRM interfaces, security policies and service levels must be integrated and accepted in each project. Demonstration data and pilot targets are not customer production results.

Frequently asked questions

How is an enterprise AI workbench different from a general chatbot?+

It can work with authorized files, knowledge and tools, execute multi-step tasks, and keep approval and audit records.

Can Mingxi AI connect to existing systems?+

Controlled connectors can be configured for SSO, organization directories, ERP, CRM, PMS, ticketing, knowledge bases, WeCom and Feishu.

Can employees create their own Skills?+

Yes, within the permissions, tests, approvals and release scopes set by the enterprise. High-risk actions still require human approval.

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