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After over a decade in ToB services, how a boss starts offering enterprise AI services

The author ran a one-month pilot to let clients verify value first, with an agreement stipulating a 50,000 yuan Token prepayment.

Summary

Review the results before exploring further

An Yu Ning, with years of experience in enterprise services, began exploring the delivery of AI agents to clients. The original post mentions a pilot agreement: serve for one month, with the client pre-paying 50,000 yuan for Token consumption. During this period, agents are created for the client's use, and after the term ends, the decision to continue cooperation is made. This is the author's self-described pilot arrangement; the 50,000 yuan represents the Token budget, not project profit.

Our Take

Three things to consider about this case

Why it matters
First, agree on a one-month pilot period. This case study is worth reading because it transforms vague AI requirements into verifiable service scopes.
Who it suits
Best suited for service providers who already have existing enterprise client relationships and understand their business processes.
What to check first
The 50,000 yuan figure represents a token prepayment budget, not project revenue; the focus should be on pilot objectives and renewal conditions.
Our Suggestions / Try This
Who it suits
Independent developers and those needing to improve workflows
What to try first
Select a small task with clear boundaries and create a minimum viable version that can be handed over for others to try.
What to measure
Record task completion rate, number of manual corrections, and whether users reuse the service.
Try Related Open Source Projects ↗

What does the original post cover?

  • Why are enterprise clients willing to start with a one-month pilot?
  • How to define work scope and future cooperation during the pilot phase?
  • How Can Clients Determine Whether an Agent Is Worth Further Investment?
Still deciding if it's worth doing? Read these judgment criteria first.
Details in the original post

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