AI Transforms 230-Year-Old Company's Workflows
March 28, 2026 · 3 min read
In an era where artificial intelligence is often discussed in abstract terms, a 230-year-old family-owned company has demonstrated its tangible impact on daily operations. STADLER, a global leader in automated waste sorting plants, has successfully integrated ChatGPT across its workforce of over 650 employees, fundamentally altering how knowledge work is conducted. This initiative, led by Co-CEO Julia Stadler, represents a strategic move to embed AI as a core productivity layer, aiming to enhance speed, quality, and collaboration company-wide. The significance lies not just in efficiency gains but in a broader transformation of work processes, supporting sustainability goals in the recycling industry.
The key finding from STADLER's experience is that AI can dramatically compress time-intensive tasks, turning hours of work into minutes. Employees now complete activities like drafting documents, summarizing information, and preparing communications in significantly reduced timeframes. For instance, what once required half a day to produce a decent first version of a document now takes about 20 minutes for a solid draft, followed by refinement. This shift allows staff to focus on higher-value decision-making and creative problem-solving rather than starting from scratch, thereby scaling productivity across the organization.
Ologically, STADLER adopted a hybrid approach combining bottom-up experimentation with top-down support. After evaluating alternatives, the company selected OpenAI's ChatGPT for its output quality, speed, and immediate usability, which enabled teams to generate usable outputs from day one. Leadership provided company-wide access, training, and clear guardrails, while employees were encouraged to explore diverse use cases. This structured rollout facilitated the creation of over 125 custom GPTs, with notable adoption in translation and email workflows, embedding the tool into nearly every function.
Analysis reveals immediate and measurable impacts, as tasks that previously consumed hours are now completed in minutes. Beyond mere efficiency, STADLER observed a cognitive shift: employees increasingly use ChatGPT to clarify thinking, explore ideas, and structure complex problems. What began as a productivity tool evolved into a cognitive aid, enhancing how teams approach work. The company reports that AI is now moving beyond assistance toward execution, with plans to integrate AI agents into core workflows for automated information gathering, output generation, and validation.
Contextually, this transformation aligns with STADLER's role in advancing global sustainability and circular economy goals through its recycling technology. By embedding AI into everyday work, the company operates with greater speed, agility, and intelligence, unlocking new productivity levels. The initiative, launched in 2023 under the principle that every computer-using employee should leverage AI, reflects a forward-looking modernization strategy. It underscores how even long-established firms can adapt to technological advancements to maintain competitiveness and drive innovation.
Limitations of the approach are inherent in its reliance on a single AI tool, ChatGPT, which may not address all specialized needs or integrate seamlessly with every existing system. The rollout's success depends on continuous employee training and adherence to guardrails, posing potential s in scaling or maintaining consistency. Additionally, while the paper highlights benefits, it does not detail specific metrics or long-term data on quality improvements, suggesting areas for further evaluation. These constraints highlight the need for ongoing refinement as AI technologies evolve.