Schwarz Group’s Global Mobility function transitioned from AI curiosity to trusted capability by replacing fragmented experimentation with a structured PMA Academy Enablement programme. This methodology reduced manual workloads and improved decision quality by establishing a shared AI governance framework, allowing professionals to use LLMs safely within high-stakes, regulatory-heavy environments.
When the Global Mobility teams at Schwarz Group began exploring AI, the interest was real. People experimented, read articles, and tested tools like ChatGPT. Yet despite this curiosity, AI remained on the margins of daily work.
The reason was clear: in Global Mobility, uncertainty is a risk. Teams could not afford trial-and-error experimentation when compliance, sensitive data, and employee trust were at stake. What they needed was not inspiration — but confidence.
Choosing Enablement Over Experimentation
Instead of introducing AI as a generic innovation initiative, Schwarz Group made a deliberate decision: AI would be adopted if Global Mobility professionals understood how to use it safely, critically, and purposefully.
Together with PMA Academy, a structured AI Enablement programme was designed — consisting of two online learning sessions followed by an onsite, hands-on application workshop tailored specifically to Global Mobility realities.
The goal was never automation for its own sake. The goal was to support Global Mobility experts in working more strategically — faster, more consistently, and with greater focus.
Learning in a Safe Space
From the very beginning, the programme created something Global Mobility teams rarely have: a safe AI Playground.
In the online sessions, participants built a shared understanding of how large language models function, the capabilities of AI, and where its limits lie in compliance-sensitive environments. Rather than abstract examples, learning was grounded in real Global Mobility scenarios — policy interpretation, assignment preparation, stakeholder communication, and case documentation.
Participants were encouraged to test, question, and even challenge AI outputs. This shifted the mindset from “Can we trust AI?” to “How do we control and validate it?”

Turning AI Knowledge into Practice with PMA Academy
The onsite session marked a turning point. Global Mobility professionals worked on real use cases from their daily work, applying AI to concrete challenges and refining prompts together. What emerged was not blind reliance on AI, but a disciplined, professional approach to using it as a support tool.
Teams discussed governance, data sensitivity, and practical guardrails — ensuring that AI use aligned with both compliance requirements and organisational values. By the end of the session, AI was no longer something “new” or “uncertain.” It had become a tool the teams understood — and trusted.

What Changed
After the PMA Academy programme, AI usage in Global Mobility looked fundamentally different. Teams used AI consciously and selectively, supporting tasks such as preparation, analysis, communication, and documentation. Manual workload was reduced, while decision quality improved through better-structured inputs and outputs.
Confidence increased — especially among experienced professionals who had initially been sceptical. AI became a professional topic of discussion rather than a source of hesitation or fear.
Leadership gained transparency into how AI could support Global Mobility without increasing compliance risk — and how it could free up time for more strategic, advisory work.
The Impact
The impact was clear and measurable:
- Global Mobility teams actively applied AI in daily work.
- Use cases were shared and reused across the organisation.
- A common “AI language” emerged within the function.
Most importantly, AI moved from curiosity to capability.
As one participant reflected: “AI stopped being something we experimented with — and became something we could actually rely on.”
Why It Worked
Because Schwarz Group treated AI Enablement as professional empowerment, not technology rollout.
By combining structured learning, hands-on application, and clear guardrails, the programme respected the complexity of Global Mobility while unlocking its potential.
The result was not automation without control — but AI-enabled Global Mobility expertise.

Check out our AI Enablement for Corporations courses.
Authors:
Daniel Zinner is an international HR expert, entrepreneur, and communications consultant. His expertise lies in HR, strategy, digitalisation, and transformation strategy.
Alexia Schmolling is the Head of Operations and Academy Lead at PMA. Her focus lies on Expat Management, Employee Health and international HRM. She brings valuable insights from her international experiences.








