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Results on customer projects

We don't publish company names without our customers' permission. The numbers come from specific projects. The effect depends on the code and the team, so we always agree up front on what to measure and how.

1 day

Onboarding a new developer

  • ProblemA new hire used to spend 2–3 weeks learning the project and its environment, then another 2–3 weeks at half speed.
  • What we didThe developer and their agent get the team's decisions and rules while working on each file.
  • ResultNew developers pick up tasks on day one.
  • How we measuredCompared with the last few new hires before AI Council.

30–45%

One task, clean test

  • ProblemThe same task on the same project.
  • What we didThe same agent completed the task twice: once with AI Council and once without.
  • Result30–45% saved in time and in tokens.
  • How we measuredCompletion time and token usage across the two runs.

40–60%

A group of tasks: a team and several agents

  • ProblemA series of tasks worked on in parallel by several developers and agents.
  • What we didThe team worked with a shared AI Council knowledge base and rules.
  • Result40–60% saved in time and in tokens. Knowledge gathered in some tasks helps with the next ones.
  • How we measuredTime and token usage on a series of tasks with and without AI Council.

4x faster

A company building ERP and data warehouse systems, two teams

  • ProblemTasks spanning two connected systems: integrations, bug investigations, writing specs.
  • What we didAI Council takes both projects and the links between them into account.
  • ResultCross-system tasks moved 4 times faster.

Fewer interruptions

An industrial software company (machine tools)

  • ProblemEngineers kept getting interrupted with the same questions about configuration.
  • What we didThe project chat answers these questions from the project's knowledge base.
  • ResultDevelopers get pulled out of their tasks less often, and answers to repeated questions are saved.
  • How we measuredThe team's own assessment.

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Record a baseline before you connect, then compare after 4–6 weeks. If the results are worth sharing, we'll ask whether we can publish them.

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