ASWORK中文Assess feasibility

SERVICE SCOPE

AI Applications and Agents

ASWORK builds enterprise AI applications, RAG systems, workflow agents and tool-calling assistants. The focus is not only on model access, but also on data boundaries, permissions, evaluation, logging and fallback behavior.

WHEN IT FITS

Suitable scenarios

  • Enterprise knowledge needs searchable, permission-aware question answering.
  • Business workflows need AI-assisted processing, classification or tool calling.
  • A customer service, operations or internal assistant needs controlled integration.

CLIENT INPUTS

Information needed before scope confirmation

  • Knowledge sources, document formats and permission rules.
  • Target user roles, workflows and expected outputs.
  • Evaluation samples, unacceptable answers and integration requirements.

AI VALUE

Where AI can participate in this service

Enterprise AI agents need knowledge boundaries, permissions, tool access, logging, evaluation and fallback design. ASWORK builds AI applications as software systems that can be tested and maintained.

01

Build RAG, tool calling and workflow orchestration around business data.

02

Add answer evidence, logs and human review where needed.

03

Evaluate model output with real samples before production use.

DELIVERY PROCESS

From feasibility to handover

  1. 01

    Confirm use case, users, knowledge scope and risk boundaries.

  2. 02

    Design data processing, retrieval, permissions and tool interfaces.

  3. 03

    Develop AI application, agent workflow and integration logic.

  4. 04

    Run sample-based evaluation and abnormal-case testing.

  5. 05

    Deploy with operation notes, monitoring and fallback guidance.

ACCEPTANCE

Acceptance checkpoints

  • The application responds correctly on agreed sample tasks.
  • Knowledge source, permission and tool boundaries are testable.
  • Logs, fallback and manual review mechanisms are documented.

BOUNDARIES

Scope boundaries

  • Model provider fees, token costs and commercial licenses are confirmed separately.
  • Output quality depends on source material quality and evaluation samples.
  • High-risk decision automation requires additional review and controls.

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AI Upgrade for Existing Systems

Add intelligent search, content processing, decision support or workflow automation through controlled interfaces.

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START WITH A TECHNICAL JUDGMENT

Not sure whether the project should use AI?

Describe the business problem, current workflow and available conditions. ASWORK can first judge the technical route and validation scope.

Start a project discussion