Tom Thorn, Snr. Treasury Manager at Personio
As the business has scaled, so has the complexity of its treasury operations. Cash management relied on spreadsheets. Forecasting was manual. And the function was ready for a step-change in how it operated.
After evaluating several providers, the treasury team chose Palm, drawn by its AI-powered forecasting, fast and light-touch implementation, and a hands-on customer success team that made the transition seamless.
The integration, configuration, and data feed were live in around a week, and the team continues to iterate and optimise on the forecasting models and dynamic reporting. With automated categorisation, consolidated bank visibility across dozens of accounts and AI forecasting, the Personio treasury function is shifting from reactive cash management to strategic liquidity planning.
The Challenge
Personio's treasury operations relied on manual workflows and fragmented tooling. The Treasury Manager was spending up to an hour every day maintaining liquidity oversight; updating balances, downloading statements from multiple banking portals, and manually reconciling transactions.
Once a month, refreshing the forecast meant rebuilding spreadsheets from scratch: pulling FP&A budget numbers, applying assumptions, allocating across currencies and accounts. It took hours and when something broke, the troubleshooting took even longer.
The real cost wasn't just time. Without a reliable forecast, the team managed with buffers holding an extra €1–2M in operational accounts that could otherwise be invested.
Visibility was another friction point. Personio's primary bank was integrated with Workday, but other banking partners weren't. That meant logging into each bank portal individually, downloading transactions, and cross-referencing them manually. A simple balance check could spiral into 20 minutes of clicking through rows of statements across multiple portals.
The function needed to move from manual processes to a system that could scale with the business and free up capacity for the strategic work that the treasury should be focussed on.
Why Palm
Personio's treasury team had experience with large-scale treasury management systems. They knew what enterprise deployments looked like and they knew the implementation overhead that came with them.
Palm offered something different: a platform that could deliver enterprise-grade treasury intelligence without the enterprise-grade deployment. Two things tipped the decision.
AI-powered forecasting: Not a bolt-on
The automated, AI-driven forecast was the biggest selling point. Unlike legacy tools where AI is layered on top as an afterthought, Palm's intelligence is foundational to how the platform works.
"You spend all your time validating that everything's correct just to produce the forecast; that's the bit you're supposed to be analysing. With other systems, the AI is mostly always built on top as a chatbot. With Palm, it's fundamental and is actually automating the operational work and generating the forecasts for you."
— Tom Thorn, Senior Treasury Manager, Personio
For a treasury function focussed on efficiency, this mattered. Instead of spending time on data validation and manual categorisation, the team needed a system that could learn from transaction history and produce a reliable forecast with minimal input.
Light-touch, no-disruption implementation
Palm's onboarding stood in sharp contrast to previous system deployments. No outsourced implementation team. Personio's systems team needed roughly an hour and a half of input for the Workday integration. The implementation and onboarding timeline was just under a week.
Critically, the Palm team was always on hand throughout. Responsive, available, and quick to translate treasury requirements into system configuration. The broader Personio team noticed and appreciated how little internal resource the implementation required.
Reclaiming 2+ Days per month
The time savings are compounding. Daily cash management that consumed up to an hour now takes minutes. Monthly forecast refreshes that took hours are automated. Ad hoc reporting that required manual data pulls is being replaced by live dashboards.
Personio manages dozens of bank accounts across 5 entities and multiple currencies. Before Palm, keeping track of activity across that structure meant logging into individual portals, downloading statements, and manually piecing together a consolidated view. Now, the team has a single, auto-refreshed view across the full account landscape, making it straightforward to spot dormant accounts, flag static balances, and focus attention on the operational accounts that matter most day to day.
The real value isn't just the hours reclaimed. It's what those hours unlock: deeper analysis, strategic reporting, and the ability to challenge decisions around liquidity, currency allocation, and investment timing.
From buffers to better returns
With a more accurate forecast, Personio's treasury function is enabled to have the confidence to reduce operational buffers and operate confidently on a ‘just-in-time’ cadence; funding accounts the day of or day before transfers, rather than a full week in advance. Instead of parking an extra €1–2M in operational accounts as a safety margin, the team can keep that capital invested for longer.
The impact compounds: with greater confidence in cash flows, the team can commit to longer-term investments at higher rates. Across a portfolio spread over multiple banks and currencies to manage counterparty risk, even small shifts in investment duration translate into meaningfully better returns.
Explainable AI; codifying treasury judgement
In treasury, accuracy isn't optional. The team trusts the AI, but more importantly, they can verify it. Every categorisation comes with an explanation of why a transaction was mapped the way it was: the reference, the pattern, the logic.
That transparency does more than build confidence in the system. It captures and codifies treasury judgement that would otherwise live only in the heads of experienced team members. As Personio's treasury function grows, this becomes a powerful onboarding tool. A new team member doesn't need years of context to understand why a transaction was classified a certain way; the system explains it for them.
It also reduces key person risk. When decision-making logic is embedded in the platform rather than dependent on individual knowledge, the function becomes more resilient. Handoffs are smoother, coverage during absences is simpler, and the institutional knowledge of the treasury team is preserved in the system itself.
"Having that explanation of why a transaction is mapped a certain way is really helpful. It's validation. And it's a tool to engage with the rest of the business to improve how we reference payments."
— Tom Thorn, Senior Treasury Manager, Personio
What's next
Personio's treasury roadmap for 2026 is clear: complete the transition from spreadsheets to Palm as the single source of truth.
The team already has access to self-serve dashboards, and the management team will see reports come directly from the system to their email inboxes for the first time this quarter. As Personio continues to grow, with more entities, more currencies and more accounts, the complexity of its treasury operations grows with it. Palm absorbs that operational load through automation and explainable AI, allowing the function to scale through capability rather than headcount.
