AI automation

AI automation: keep suggestions, approvals, and results traceable

Let models generate or analyze while business workflows validate, approve, execute, and record outcomes so opaque output does not become an uncontrolled high-risk action.

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QiaoERP console with AI automation tasks and business status overview
A real QiaoERP interface using a local demo tenant with no customer data.

Core capabilities

Organize work around real operating actions

Generate drafts through configured models

Send suggestions through business preflight

Require approval for sensitive actions

Record task state and failure reasons

Workflow

From connecting the business to completing the work

  1. Step %!s(int=1)

    Choose the business goal and data

  2. Step %!s(int=2)

    Generate a suggestion or asset

  3. Step %!s(int=3)

    Run validation and human approval

  4. Step %!s(int=4)

    Invoke the business action and record the result

Frequently asked questions

Will QiaoERP AI execute actions directly?

Execution depends on the business action, permission, and approval policy. Sensitive actions such as listing and purchasing should retain a clear control boundary.

Can different models be connected?

Model calls are organized through provider and deployment configuration. Available models depend on the environment.

How do I assess an AI result?

Review validation outcomes, human adoption, task success rate, and downstream business data over time.

Start using QiaoERP

Create a workspace, then configure stores, members, and business data.

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