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Shengcaiyoushu AI Employee System and AI Center in Practice

亦仁AI employeesAgent platform
more than 1,600 peopleNumber of community members on the Token leaderboard
roughly 300–500Estimated number of internal AI employees
more than 10Number of new agents launched by the team each day
01

What this case covers

Yiren combines Shengcai's internal AI employee system, the TokenRank product, and AI center construction to describe how Agents enter real production lines, as well as the path for unifying the team's tech stack and organizational transformation.

02

Questions it answers

  1. Why can an Agent architect discover workflows that can be made intelligent?
  2. What bottlenecks do the Agent operations officer and review officer solve?
  3. Why should the multi-platform transcription Agent retain details?
  4. Why did the team unify on Codex and Feishu?
  5. Can Token consumption reflect workflow restructuring?
03

Our observations

  1. After Agents scale up, Agents that manage Agents are more critical than business Agents.
  2. Token consumption is a reference for whether workflows have been restructured, not the capability itself.
  3. If the boss does not get involved, enterprise AI transformation can only achieve local optima.
04

From the author

AI tools only improve efficiency locally; Agents are what reorganize production relations.
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