Product Detail

Automated workflow

Let AI participate in approval, generation, entry and collaboration in controllable processes

Combine model capabilities, business rules and system interfaces into observable and interventionable automated task processes.

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Applicable scenarios

Start with a clear, verifiable business problem

Suitable for daily processes that are highly repetitive, cross-department, cross-system and require manual confirmation.

core competencies

Product capabilities built around production use

Visual process orchestration

Combine models, rules, interfaces, human tasks, and conditional branches to form a clear process.

Cross-system tool calls

Read or submit business information through controlled interfaces to reduce repeated entry.

Manual approval node

Pause before critical decisions and high-risk operations to wait for confirmation or additional information.

Operation monitoring and rollback

Record the input and output of each node and support retry, rollback and problem location.

business process

How the product gets into actual work

  1. 01

    Define task objectives, input and completion conditions

  2. 02

    Configure models, rules, system tools and branches

  3. 03

    Set up manual confirmation, exception handling and permissions

  4. 04

    Run the process and continuously optimize based on logs

Delivery method

From configuration, integration to continuous optimization

  • Overview of existing processes and system interfaces
  • Automation node and responsibility boundary design
  • Process workbench and run log
  • Grayscale activation and exception plan
FAQ

FAQ

Which processes are suitable for automation first?

Prioritize processes with relatively clear rules, high repetition frequency, and checkable input and output.

What to do when the model makes a wrong judgment?

The scope of impact can be controlled through rule verification, manual approval, timeout rollback, and complete logs.

Is it possible to gradually integrate more systems?

Can. The process and tools are modular and can be expanded incrementally after validation.