STADLER reshapes knowledge work at a 230-year-old company

· Source: OpenAI News · Field: Business & Management — Operations & Process Management, Corporate Strategy & Leadership, Project & Product Management · Depth: Intermediate, short

Summary

STADLER, a 230-year-old family-owned company specializing in automated waste sorting plants, has integrated OpenAI's ChatGPT across its 650 global employees to enhance knowledge work productivity. Since 2023, the company has aimed for every computer-using employee to leverage AI for improved speed, quality, and collaboration. This initiative has led to the creation of over 125 custom GPTs, resulting in 30-40% time savings on common knowledge tasks like summarizing and documentation, and a 2.5x faster time to first draft on average. ChatGPT is actively used by over 85% of employees daily across engineering, project management, and marketing teams for tasks ranging from code support and process structuring to translation and research, transforming it from a mere writing tool into a "thinking partner."

Key takeaway

For CTOs and business leaders evaluating enterprise AI adoption, STADLER's experience demonstrates that a strategic, company-wide rollout of tools like ChatGPT can yield substantial productivity gains. You should prioritize immediate usability and provide both bottom-up experimentation opportunities and top-down support with training and guardrails to achieve high daily active usage and measurable time savings in knowledge tasks.

Key insights

Embedding AI as a core productivity layer can significantly accelerate knowledge work and decision-making across an organization.

Principles

Method

STADLER adopted ChatGPT for its output quality and usability, combining employee-led exploration with leadership support, company-wide access, training, and clear guardrails to embed AI across nearly every function.

In practice

Topics

Best for: Executive, CTO, Entrepreneur, Director of AI/ML, Consultant, VP of Engineering/Data

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Editorial summary, takeaway, and curation by AIssential. Original article published by OpenAI News.