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How Scania accelerates work with AI across its global workforce

Global manufacturer Scania is scaling AI with ChatGPT Enterprise. With team-based onboarding and strong guardrails, AI is boosting productivity, quality, and innovation.

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November 19, 2025

How Scania accelerates work with AI across its global workforce

By equipping teams with ChatGPT Enterprise, Scania is transforming how industrial teams learn, build, and innovate together.

Results

Strong bottom-up pull from engineers and frontline teams

Results

Fast early gains in productivity, quality, and operational workflows

Founded in 1891, Scania operates across Europe, the Americas, and Asia-building the trucks, buses, and transport systems that keep the world moving.

Today, the company is accelerating the shift to a sustainable transport ecosystem while shaping what AI adoption looks like inside a highly technical, engineering-led organisation evolving from vehicle maker to global transport ecosystem leader.

We sat down with Jan Andries Oldenkamp, Chief Information Officer, and Jan Guhres, Senior Manager Business Enabling Services, to hear how Scania is rolling out ChatGPT Enterprise, enabling experimentation across teams, and building AI into the team DNA.

"It's going faster - both in time and in quality."

Inside the rollout

Scania's decentralised culture meant teams were ready to explore AI from day one. Adoption spread quickly across engineering and operations, supported by a partnership with OpenAI that began around a year ago. Licences were made widely available so teams could experiment, share what worked, and uncover use cases organically.

From the outset, governance was built to enable-not restrict-experimentation.

"We had good cooperation with legal and security from day one," says Guhres. "By providing clear guidelines, engineers and builders felt free to experiment-and it's worked ever since."

To ensure capability stuck, Scania introduced team-based onboarding, not isolated individual training.

"Everyone was only allowed to join if they joined as the whole team. That's how we build continuity... we wanted it in the team DNA," Guhres explains.

As more teams gained confidence, momentum accelerated. This blend of strong bottom-up energy and enabling guardrails is now shaping how Scania scales AI deeper into core engineering and operational workflows, turning experimentation into enduring capability across the company.

"The pace of the requests keeps expanding."

Results at a glance

  • Strong bottom-up pull from engineers and frontline teams
  • High experimentation across functions
  • Fast early gains in productivity, quality, and operational workflows
  • AI now embedded into continuous-improvement and lean processes
  • Teams-not individuals-trained and onboarded to build lasting capability

Leadership lessons from Scania

Let the organisation pull, not wait to be pushed Bottom-up appetite for AI was strong-Scania embraced it rather than controlling it from the centre.

Build the guardrails early-then get out of the way Legal and security became enablers, not blockers.

Scale by teams, not individuals Team-based onboarding created resilience, shared knowledge, and sustainable capability.

Insert AI into existing improvement systems By integrating AI into Scania's lean and continuous-improvement processes, use cases surfaced naturally.

Expect the speed to surprise you Anticipate rapid uptake-and design processes that can absorb it.

What's next

Scania is now exploring agent capabilities, deeper workflow integration, and long-term opportunities to support its ambition to build the sustainable transport ecosystem of the future. As adoption grows, Scania's workforce is learning together-and moving faster together-than ever before.

"AI allows us to explore what our role will be in this new ecosystem-and how we can deliver on that promise."

Join the new era of work

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Source

OpenAI News - openai.com

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