How can AI redefine your company’s mobility strategy?

By integrating artificial intelligence into fleet and mobility management, HR and Fleet Managers can unlock efficiency, sustainability, and cost savings that were previously unimaginable. That was the key message from Sam Heymans, CEO and co-founder of Lizy, during his talk at Crossroads 2025.

Sam knows what digital disruption looks like. He built a circular, fully digital car-leasing platform without any prior automotive background. As he put it:

“We looked at the market from a technological perspective. That’s what allowed us to bring real innovation to mobility.”

And today, that same mindset is shaping how AI can transform how companies manage vehicles, budgets, and employees’ mobility choices.

Why AI Is a game changer for Fleet Managers?

Most HR and Fleet teams are drowning in unstructured data — invoices, contracts, fines, mobility policies, emails, and Excel trackers.

Sam pointed out that this is exactly the type of information AI excels at organizing:

“Mobility management generates thousands of repetitive processes. It’s perfect for AI, because it can learn patterns, automate answers, and structure chaos.”

Thanks to large language models (LLMs) like ChatGPT, Gemini, or Mistral, companies can finally turn this messy information into usable insights — answering employees’ mobility questions instantly, optimizing fleet utilization, and even detecting inefficiencies before they cost money.

The 5-Step playbook to build your “AI Fleet Manager”

Sam presented a five-step framework that any company can use to start leveraging AI in mobility — even without an engineering team or massive budget.

1. Centralise your mobility knowledge

Gather all documents: car policies, contracts, invoices, internal emails, and FAQs... in a single digital repository.

“You don’t need to structure it at first. Just bring it all together. The AI can help you organize later.”

2. Structure your data with AI

Use a Model Context Protocol (MCP) or similar tool to convert unstructured data into a structured format that AI can understand. This allows your assistant to “know” your company’s policies and language.

3. Connect it to your communication tools

Integrate the assistant directly into your company’s daily workflow (Teams, Slack, Outlook). Employees can then ask natural questions like:

“What’s my mobility budget?” or “When does my lease contract end?”

…and receive accurate answers instantly.

4. Test before rollout

But Sam warns:

“If your AI starts hallucinating, it’s a problem.”

Before deploying company-wide, run internal pilots with small teams and let them rate the assistant’s accuracy.

5. Deploy and improve continuously

Once live, make sure the system updates and learns daily. Connect it to the latest models (ChatGPT-5, Gemini 2.0, Mistral Large, etc.) and ensure it stays aligned with new policies or tax rules.

“AI will never be worse than it is today. Tomorrow it will be smarter, so you will need to evolve with it.”

Examples of AI in mobility today

AI is already revolutionising operational mobility:

• Predictive maintenance for EVs and fleet vehicles.
• Automated invoice and claims processing.
• Dynamic route optimization for deliveries.
• Smart document scanning. Sam shared how Lizy now uses AI to read, categorize, and process paper mail and fines automatically.

The result? Tens of hours saved every month — and employees freed from repetitive admin to focus on strategy.

Building an AI-first culture in HR & Mobility

Adopting AI is not just a technical project — it’s a cultural shift. Heymans closed his keynote with concrete tips to help companies embrace an AI-first mindset:

1. Start small – Launch a simple pilot (like an AI fleet assistant) instead of an ambitious enterprise-wide project.
2. Run AI hackathons – Let HR and operations teams experiment hands-on, supported by one technical profile.
3. Celebrate power users – Encourage early adopters to demo use cases in company meetings.
4. Track adoption – Measure engagement (e.g., AI queries per user) to monitor progress.
5. Partner strategically – Use off-the-shelf AI tools from major providers; don’t reinvent the wheel.

“We shouldn’t build our own AI. The big players invest billions. We should focus on using their technology wisely and giving it company context.”

AI is already the there. Get a move on!

AI has already changed how we work, and mobility is one of the next frontiers. For HR and Fleet Managers, the opportunity lies in turning mobility data into decisions, automating the repetitive, and giving every employee a digital fleet assistant in their pocket.

Sam summed it up simply:

“Those who embrace AI will shape the future of work. Those who don’t will be left behind.”

So, will you start implementing AI in your company’s Fleet strategy?

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