How Scania is accelerating work with AI across its global wo…

1891 年成立的 Scania 在欧洲、美洲和亚洲开展业务，制造支撑世界运行的卡车、客车和运输系统。

如今， Scania 正在加速向可持续运输生态系统转型，同时在内部塑造 AI 的应用方式——这个以工程技术为核心、正从车辆制造商演变为全球运输生态系统领导者的组织，正在重新定义自身角色。

我们采访了 Jan Oldenkamp（首席信息官）和 Jan Guhres（业务赋能服务高级经理），听他们讲述 Scania 如何部署 ChatGPT Enterprise ，推动跨团队试验，并把 AI 融入“ team DNA ”。

“进展比我们预期的更快——无论是速度还是质量上。”—— Jan Oldenkamp，首席信息官

要点概览

• 工程师和一线团队自下而上的强烈需求
• 各职能间高度试验性探索
• 在生产力、质量和运行流程上取得快速早期收益
• AI 已融入持续改进与精益流程
• 以团队而非个人为单位进行培训与上手，建立持久能力

落地过程

由于 Scania 的去中心化文化，团队从一开始就愿意探索 AI。采纳在工程和运营间迅速扩散，这得益于大约一年多前与 OpenAI 建立的合作。公司广泛发放许可证，让团队可以试验、分享有效做法，并自然而然发现可行场景。

从一开始，治理机制的设计是为了赋能而非限制试验。“从第一天起，我们就与法务和安全部门有很好的配合，” Jan Guhres 说，“通过提供清晰的指引，工程师和构建者可以放心试验——事实证明这一直有效。”

为了让能力真正沉淀， Scania 采用的是以团队为单位的上手方式，而不是孤立的个人培训。“只有以整支团队的形式加入才被允许。这样我们才能建立连续性……我们希望把它写进团队的 DNA，” Jan Guhres 解释道。

随着越来越多团队建立起信心，势头进一步加快。

“对 ChatGPT 的需求持续扩大。”—— Jan Guhres，业务赋能服务高级经理

强烈的自下而上动力与适度的规范相结合，正塑造 Scania 将 AI 更深层次嵌入核心工程与运营流程的方式——把试验性的探索转化为公司范围内的持久能力。

来自 Scania 的管理启示

• 让组织自发拉动，而不是等待自上而下推动：当自下而上的 AI 意愿强烈时，接纳比遏制更有效。
• 早期建立护栏——然后放手：法务和安全要成为推动者而非阻碍者。
• 按团队扩展，而非按个人：团队上手带来韧性、知识共享和可持续能力。
• 将 AI 嵌入现有的改进体系：把 AI 放入精益和持续改进流程，会自然催生可行用例。
• 预期速度会让你惊讶：要预留能够承受快速采纳的流程与机制。

下一步

Scania 正在探索代理（agent）能力、更深层的工作流集成，以及支持其构建未来可持续运输生态系统的长期机会。

“AI 让我们去探索在这一新生态中我们的角色是什么——以及我们如何兑现这一承诺。”—— Jan Oldenkamp，首席信息官

随着采纳规模扩大， Scania 的员工正在一起学习，并比以往任何时候都更快地前进。

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 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 [than we expected]—both in time and in quality.”

• 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

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.

“The pace of the requests [for ChatGPT] keeps expanding.”

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.

• 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.

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.

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

As adoption grows, Scania’s workforce is learning together—and moving faster together—than ever before.

Join the frontier

Generated by RSStT. The copyright belongs to the original author.

Source