Payhawk

Most travel approval chains involve at least one email that didn't need to exist. "Is this in policy?" "Can you send the invoice separately?" "Did you get sign-off?" With Payhawk, an employee types "Book me a trip to London" and has in-policy options in 60 seconds. Approved, booked, and logged — before finance has to ask a single question. The trip reconciles automatically. No receipt chase. No month-end cleanup. Finance teams using Payhawk save around 90 minutes per trip compared to managing travel across separate tools. One less thing to chase. ✈️ See how Payhawk is rethinking business travel: https://lnkd.in/dTgCCPHY

Barcelona is a wrap 🎬 This is why we bring people together — shared thinking, honest conversations, and the connections that actually drive things forward. A few things that came out of the day: → Most finance teams have an AI strategy. Far fewer have the operations to back it up. → AI can do a lot today, but knowing the actual capabilities and limits matters more than the hype. → The gap between ambition and execution is where the real conversation is happening! → Pressure, decisions, adaptation... turns out the mindset of an elite athlete and a modern CFO aren't that different. If you missed it, this short wrapup is worth a watch. ↓ 🇩🇪 Next stop: Munich. #FutureCFO #Finance #AI #Barcelona

€1.1B in revenue. 20+ markets. Millions of users. Vinted is Europe's second-hand powerhouse — and their finance team runs on Payhawk. Hear from Agne Masiulyteė, Laura Staknienė, and Kristina Bardauskiene on how they saved 188 hours of manual work every month.

In 2026, pretty much every finance team is using AI in some form... But here's what doesn't get talked about — almost none of them are actually scaling it. And after surveying 1,520 senior finance leaders, the reason keeps coming back to the same moment. The pilot ends. Then someone asks a question nobody can cleanly answer: What, exactly, is this system permitted to do? That's when it stalls 🫠 The teams that do scale AI aren't moving faster than everyone else. They've just paid down one of two structural **debts that most programmes are carrying without even knowing it. ** Rules debt — AI is active, but nobody has documented what it's permitted to do or who owns the outcome when something goes wrong. ** Data debt — governance is in place, but outputs can't be reconciled back to a source of truth. So nobody trusts them enough to act on. Most stalled programmes have one... some have both. Read the final report in our global four-part CFO AI Readiness series, and you get: → A clear read on which of the 6 posture segments your finance team sits in right now, and which debt (rules or data) is costing your programme the most → A diagnostic to find your starting point in under 5 minutes → A 30/60/90 day sequencing plan built around your specific constraint → The exact sequence that took one finance team from 2 days of receipt chasing to zero Find your posture. Fix what's holding you back from scaling AI effectively. Read the full guide today > https://lnkd.in/ecXzNBvZ

Making finance teams happy is always our goal, but with Agent Fetch, we're obviously making IT teams happy too. That's what we're hearing from our customers at CWP Global. Dessislav Shekerletov, Head of IT and Process Improvement at CWP Global, highlights how Agent Fetch, part of our Financial Controller Agent, simplifies authentication, eliminates security risks, and significantly reduces manual, repetitive tasks. Zornitsa M., Group FP&A Manager at CWP Global, adds that the automation frees her finance team from chasing invoices, allowing them to focus on critical analysis and strategic work. You already know what that means: smoother month-ends, fewer manual errors, enhanced security, and more time for high-value work across both teams.

The Future CFO Talks landed in Barcelona. This week, we brought together 100+ CFOs, finance leaders, customers, and partners at Esade Barcelona for one focused conversation: What separates finance teams that are genuinely AI-ready from those still trying to work out where to start? Hristo Borisov and Laura Gámiz opened with fresh research from 1,520 finance leaders, showing a clear gap between AI ambition and operational reality. Josep M. (Pep) Martorell Rodon, formerly of the Barcelona Supercomputing Center, cut through the hype on what AI can actually do today: the real capabilities, the real limits, and the shifts already changing how businesses operate. Ivan Herrero from Cooltra, Ana Magro Navarro from GRUP MEDIAPRO, Joan Ferran from RSM, and Daniel Ruiz Puente Ruiz from Crowe brought the practitioner view: AI agents in real finance workflows, talent under pressure, and what it takes to build a finance team fit for what comes next. And Alex Corretjà brought a different but highly relevant lens: elite performance, decision-making under pressure, and the mindset needed to keep improving when the game changes. The result: honest conversations, sharp ideas, and a brunch that nobody rushed to leave. Thank you to everyone who joined us in Barcelona. The Future CFO Talks continues. Next stop: Munich.

Finance leaders deal with a lot. Budgets. Audits. End-of-quarter pressure. Compliance reviews. And then more budgets. Last month, our teams in Paris and Amsterdam set out across both cities with a box in their hands. Inside there wasn’t a pitch or a research paper. Just something sweet. And it was enough to put a smile on the faces of finance leaders across two cities. Because behind every finance function is a group of people doing genuinely hard work. We've been supporting them since 2018, across 32 countries. And every now and then, support looks less like a useful product and more like a donut.