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Large Language ModelsOpenAI BlogPublished: Mar 28, 2026, 07:00 JST

230-year-old STADLER embeds ChatGPT across 650 staff

230-year-old STADLER embeds ChatGPT across 650 staff

3 Key Points

  1. What happened

    STADLER, a 230-year-old family-owned maker of automated waste sorting plants, has adopted OpenAI's ChatGPT across nearly every function for its 650+ employees. It has created more than 125 custom GPTs, with strong use in translation and email workflows.

  2. Why it matters

    The company reports 30–40% time savings on common knowledge tasks, 2.5x faster first drafts (up to 6x for high-volume work like social media), and over 85% daily active usage. Co-CEO Julia Stadler says a solid draft now takes 20 minutes instead of half a day.

  3. What to watch

    The next phase is moving AI from assistance to execution by integrating AI agents into core workflows. Whether this succeeds hinges on how well those agents can gather information, validate against standards, and route work for approval.

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Context & Analysis

STADLER's adoption of ChatGPT began in 2023 with a simple principle: every employee working on a computer should use AI. The company chose ChatGPT after evaluating alternatives, based on output quality, speed, and immediate usability. Leadership supported the rollout with company-wide access, training, and guardrails, while employees explored use cases from the bottom up.

The results show a shift in how work gets done. Beyond efficiency metrics like time savings and faster drafts, employees use ChatGPT to clarify thinking and structure complex problems—what started as a productivity tool became a cognitive one. The most telling signal, according to Head of IT Raphael Fricker, is that people return to it multiple times a day without being asked.

The next phase is more ambitious: moving from assistance to execution. Integrating AI agents into core workflows could change how work is routed and approved, but the outcome hinges on whether those agents can reliably validate outputs against standards and gain employee trust in critical processes.

FAQ
How has ChatGPT changed daily work at STADLER?
Employees use it for drafting, summarizing, research, and structured thinking. Tasks that once took hours are now done in minutes, with a solid first draft in 20 minutes instead of half a day.
What measurable results has STADLER seen?
It reports 30–40% time savings on common knowledge tasks, 2.5x faster time to first draft, and over 85% daily active usage.
What is STADLER's next step with AI?
It plans to integrate AI agents into core workflows, so systems can gather information, generate outputs, validate against standards, and route work for approval.

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