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CNPS × FASTGPT

Make internal knowledge easier to find within access rules

FastGPT describes policy-document retrieval and project-data queries with organizational access boundaries. This reference illustrates a governance requirement rather than a CNPS security certification.

上海邮电设计咨询研究院 · Operations

The published reference

FastGPT describes policy-document retrieval and project-data queries with organizational access boundaries. This reference illustrates a governance requirement rather than a CNPS security certification.

Read the original FastGPT case (Chinese)

Reviewed September 3, 2026. Reported results have not been independently audited by CNPS. This is not a customer project delivered by CNPS.

Reference pattern

Access-aware knowledge — departmental policy and project information

CNPS pilot concept

How to evaluate a similar workflow

Start with two test roles and a limited document set. Enforce access before retrieval and use read-only, approved data queries.

What to measure

Authorized retrieval, denial of restricted requests, citation quality and auditability.

What we agree before starting

The data and users in scope, access controls, the review process, integration dependencies and acceptance samples. Your written proposal defines deliverables, costs and timing.

Explore this pilot approach

Discuss your workflow

Tell us what happens today, the systems involved and where your team loses time. Bring a process owner and non-confidential examples.

Discuss your workflow

CNPS is a FastGPT partner. Platform licensing and implementation services are defined in your written proposal. Reference cases are published by FastGPT; CNPS has not independently audited the reported results.

Let’s start with your real-world challenge.

Tell us what you need to improve, where you work and when you want to begin.

Start a conversation