
Quadrupling productivity at Discordia
“We’ve boosted employee productivity by over four times. Payhawk’s automation has significantly cut processing time and reduced the errors that came with manual expense handling.”
Discordia is one of the top 20 transport and logistics companies in Europe. With 2,400+ employees and a fleet of over 1,500 trucks, it offers international road transport plus rail, sea and air freight forwarding, working with more than 70 countries.
Manual processes at massive scale
Discordia, operating over 2,000 drivers across 70+ countries, faced mounting challenges. Monthly processing of 25,000+ expense notes required manual entry into their ERP system. Receipts arrived late, damaged, or in foreign languages, slowing reconciliation and increasing errors. Drivers relied on personal cards, creating delays, bank charges, and limited spending oversight. Emergency fund access during trips remained slow and disruptive.
Buying goods on the road was just as cumbersome. To request a purchase, a driver had to call Discordia's helpdesk and describe what they needed. The helpdesk then logged a ticket and routed it to an approval team, and every handoff added delay. People often weren't sure who should approve a given request, so misrouted requests and long waits were common.
“The growing volume of data processing was becoming increasingly challenging. We needed to streamline how we manage and account for driver expenses.”
Streamline FinOps in transportation & logistics
Talk to an expertAutomated spend management at scale
Discordia implemented Payhawk to digitize and automate expense management company-wide. Drivers now use corporate cards and mobile apps for instant expense capture, eliminating paperwork. Finance teams no longer manually input data: expenses automatically process and sync with their ERP, removing errors and saving time. Pre-issued cards equip new or replacement drivers instantly.
“With Payhawk, expenses are recorded the same day they’re generated. Before, we had to wait for documents to arrive physically.”

Discordia then extended Payhawk to procurement, just as Payhawk launched its new AI Procurement Agent. The agent makes approvals and fund top-ups fast and intuitive, while keeping finance firmly in control.
Drivers now request additional funds by sending a single message in a chat. Payhawk's AI procurement agent turns each message into a complete request and sends it straight to the right approver. A predefined approval matrix applies the right spend policies automatically. The agent guides drivers step by step and understands them in their own language, which is essential for a multinational team on the road.
“Now the driver simply sends a single message in the chat, and the AI procurement agent turns it into a complete request and sends it straight to the person who needs to approve it. We've cut an entire step out of the process.”
Faster operations and better driver experience
Manual expense processing has been fully eliminated, with productivity increasing fourfold. Drivers no longer use personal funds or complete manual reports. They pay with company cards and upload receipts via the app. This saves time and improves driver satisfaction while reducing financial stress on the road. Finance teams now have real-time spend visibility, enabling stronger control and better cost management.
“Now I always have company funds when I’m on the road. I don’t use personal money, and reporting is effortless with the app.”

Procurement has sped up just as dramatically. Since launch, Discordia has handled over 7,000 purchase requests through the agent, around 660 a week. More than two-thirds are approved within 32 minutes of submission, twice as fast as before, and the approval matrix has practically eliminated routing errors. Over €350,000 in requests passes through the system each month. Around two-thirds of expenses are matched to their request automatically, with no manual intervention.
Adoption was fast too. Because the agent feels like an ordinary chat rather than a complex system, drivers embraced it almost immediately, regardless of their technical background or language.
“I expected more resistance from the drivers. But because the solution looks like an ordinary chat rather than a complex system, people embraced it almost immediately. Our drivers come from a multitude of nationalities and speak different languages, and the AI agent understands them all equally well.”







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