Turn scattered documents and repetitive requests into practical AI workflows. CNPS helps you move from scoping and evaluation to implementation.
FastGPT provides the platform. CNPS helps shape the work around it.
We help scope knowledge assistants, support workflows and RFQ intake. Your proposal defines the data, integrations, licensing, review steps and acceptance criteria.
An illustrative technical support workflow
- Start with an approved product manual, revision B, and service knowledge reviewed by your team.
- Use a FastGPT workflow to retrieve, check and prepare.
- Produce an answer your team can review: source references, missing-information prompts and a clear path to a person.
This is a workflow illustration. Evidence and human review are part of the intended outcome.
Three places to start
One team. A clear scope. A result you can evaluate.
Find answers in technical documents.
Make product manuals, support notes and internal guidance easier to use—with evidence and access rules.
Route support requests with context.
Help your team handle routine questions and prepare clear handoffs for requests that need a person.
Turn RFQs into reviewable briefs.
Bring structure to incoming inquiries so your sales team can focus on a useful response.
Real business problems. Useful starting points.
Bring SAP support knowledge into the conversation
Yanfeng (延锋国际)
FastGPT describes an internal support assistant combining SAP documentation, FAQ retrieval and ticket handoff. The publisher reports that 70% of repetitive inquiries were handled automatically.
Turn inconsistent part numbers into structured data
南京商络电子
FastGPT describes a workflow that interprets component part numbers, extracts fields and connects the structured output to an enterprise database. No numerical accuracy claim is reproduced here.
Answer routine questions and hand over the rest
昭昭医考
FastGPT describes a course-information and enrollment FAQ assistant with multi-turn clarification and human handoff. The publisher reports a 42% reduction in human handoff rate.
These are FastGPT-published reference cases. Your project uses its own data, baseline and acceptance criteria.
FastGPT vs ChatGPT for permissioned knowledge
Compare the methods — access control, citations and review — not a model score.
FastGPT vs ChatGPT for permissioned enterprise knowledge
Documents and one workflow for a UAE first pilot
Name one owner, one approved corpus, one workflow, and a hard-question set before any FastGPT build. Measure checked answers, not first drafts.
Pick documents and one workflow for a UAE FastGPT first pilot
Make the pilot earn the rollout
- Scope: Choose one workflow. Identify the owner, inputs, systems and current way of working.
- Evaluate: Test with agreed samples. Measure correctness, review effort, access and operating costs.
- Implement: Extend what works. Agree on production scope, responsibilities, training and support.
Research and planning
The global growth playbook covers buyer needs, reference cases, X and GitHub distribution, pilot delivery and commercial planning in 28 chapters, with 23 documented revisions.
Before your first conversation
Can we assess a deployment in our own environment?
Yes. We start with your data and infrastructure requirements. Model endpoints, parsing, storage, backups and integrations are included in the scope review.
What should we bring to a pilot discussion?
One workflow, a process owner, your existing systems and a few non-confidential examples. Please do not send credentials or production customer data in your initial inquiry.
Are these CNPS customer projects?
The reference cases are published by FastGPT. CNPS provides its own pilot concepts alongside the original sources. CNPS has not independently audited the results.
How are pricing and timelines agreed?
In a written proposal after scope and dependencies are understood. Platform licensing, model usage and implementation services are identified separately where applicable.
Discuss your workflow
Tell us the task, the systems involved and what a useful result would look like.
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.