Treasury’s Turning Point: What AI Actually Looks Like in the Real World
This article is written by our partner, Nilus “AI won’t replace you. But a person using AI might.” That quote set the tone at TMANY’s Future of AI in Treasury roundtable, co-hosted by Nilus and Redbridge. And it hit home. Because here’s the truth: AI in treasury is no longer theoretical. It’s not a slide deck or a distant roadmap. It’s already reshaping how finance teams forecast, reconcile, report, and act. At this roundtable, treasury leaders got honest about what they’re trying, what’s actually working, and what’s still standing in the way. The Shift Is Here, And It’s Personal Treasury leaders aren’t chasing buzzwords. They’re chasing hours, clarity, and confidence. What surfaced again and again was how everyday pain points are ripe for transformation, and how much time is lost trying to manually solve problems that AI is now equipped to handle automatically. Here’s what attendees want AI to fix first: These are not hypothetical use cases. They’re the daily friction points slowing down strategic work. And the message from the room was clear: if AI can lift the load, it should. Inside the Roundtable: What We Heard The roundtable, co-led by Nilus Co-Founder & CEO Daniel Kalish and Redbridge’s Bridget Meyer, was equal parts reality check and roadmap. It wasn’t about whether treasury should adopt AI; it was about how to get it right. Here’s what’s already in motion: But the room wasn’t blind to the hurdles. In fact, naming the barriers sparked some of the most tactical conversations: The most resonant insight? Treasury isn’t resistant to AI. It’s resistant to hype. Teams are ready, but only if the tools respect their complexity and prove ROI fast. Where Nilus Fits: AI That Drives Action At Nilus, we’ve always believed AI in treasury must do more than generate insights. It must drive action. That means: When you pair that with real-time cash visibility, actuals-to-forecast reconciliation, and continuous liquidity optimization,, you don’t just save time. You unlock faster, better decisions across the org. Strategic Takeaways for Treasury Leaders Here are five questions to bring back to your team this quarter: And if you’re not sure where to start: AI doesn’t have to be all-or-nothing. It starts with one well-scoped experiment. The Bottom Line The TMANY roundtable made one thing clear: Treasury teams aren’t waiting for a perfect roadmap. They’re learning, experimenting, and adapting together. If you want AI to work for treasury, it has to work with treasury. That means respecting the complexity of your data, the nuance of your decisions, and the stakes of getting it wrong. More from Nilus Join our Treasury Community Treasury Masterminds is a community of professionals working in treasury management or those interested in learning more about various topics related to treasury management, including cash management, foreign exchange management, and payments. To register and connect with Treasury professionals, click [HERE] or fill out the form below. Notice: JavaScript is required for this content.
Climate Risk: The Next Frontier in Treasury Strategy
Based on the Treasury Masterminds Podcast with Marcus Cree, FIS Corporate treasurers have spent the past decade wrestling with geopolitical shocks, broken supply chains, inflation, and volatile FX markets. Just when you thought the to-do list couldn’t get any longer, here comes the next heavyweight risk class marching straight into treasury: climate risk. Most treasurers still place climate somewhere between “new ESG reporting templates” and “update DE&I statement” on the priority chain. Nice to have. Someone else’s problem. A topic for sustainability teams who love PowerPoints a bit too much. But climate is no longer a PR conversation. It’s a financial one. And the numbers are already hitting the P&L.hjj This podcast episode with Marcus Cree, risk management specialist at FIS, pretty much hammered that home. If you missed the Podcast, you can listen to it below: Why Climate Risk Is Suddenly a Treasury Problem Marcus cuts through the noise: climate change isn’t about melting ice caps, it’s about probability shifts. A higher likelihood of loss events affects pricing, insurance, credit spreads, and—yes—cash flow. Treasurers are already feeling it through: Climate risk doesn’t sit next to market, credit, and liquidity risk. It sits inside each of them. Just as the Basel Committee has laid out for banks: Climate isn’t a new silo. It’s a new dimension. From Hurricanes to Cash Flow: Turning Events into Financial Exposure The examples Marcus shared weren’t abstract. Germany’s river flooding knocked out a door manufacturer. A global car company took a share price hit. Wildfires and hurricanes across the US disrupted entire industries. Ports shut down for days create ripple effects that last months. And yes, sometimes one ship sideways in Suez is enough to wreck liquidity cycles everywhere. Climate events disrupt supply chains. Disrupted supply chains disrupt payment cycles. Disrupted payment cycles disrupt liquidity. Treasury is the last stop on that chain. Unfortunately. But VAR Models Only Look a Few Days Ahead… Right? Classic treasury VAR models look at maybe 1–10 days. Climate projections look at 25, 50, and even 100 years. So how do they meet? Simple: Treasury instruments’ price today based on long-dated expectations. Forward curves are built on assumptions about many future quarters. If climate risk changes those assumptions—higher volatility, higher credit risk, higher break probabilities—then the price today shifts too. Banks are already factoring in those forward risks. Higher expected flooding in 2040 → higher credit spread now. If banks are doing it, treasurers need to understand it. What Happens If You Ignore It? Marcus is brutally honest: This isn’t about reputational risk. Nobody is cancelling a company because they dislike your climate disclosures. But the financial consequences? Supply chain fragilities that won’t show up in any traditional model. Climate ignorance becomes financial mismanagement. Treasurers don’t have to become climate scientists. But you can’t price risk you refuse to see. So, Where Should Treasurers Start? Marcus gives a surprisingly reasonable entry point: Treasury doesn’t own climate risk. But treasury owns the financial impact of climate risk. Big difference. Treasury’s Long-Term Blind Spot Most teams live in a 13-week cycle. Cash, liquidity, FX, debt—everything is short-term execution. The problem is: the world that shapes those short-term numbers has already changed. Banks are modelling: Treasury teams can’t stay in their bubble anymore. If you don’t understand the business and supply chain, you can’t understand the risk. Climate impact is no longer fifty years away. It’s sitting quietly inside your financing costs today. A New Role for Treasury This shift is uncomfortable, but also a massive opportunity. Treasurers who embrace climate-adjusted forecasting, scenario planning, and credit analysis will: It’s not ESG. It’s financial survival. Final Thought Climate risk might feel overwhelming and abstract. But Marcus brought it back to something treasurers do understand: Every risk can be priced. The real question: Are you the one doing the pricing—or is someone else doing it for you? Also Read Join our Treasury Community Treasury Mastermind is a community of professionals working in treasury management or those interested in learning more about various topics related to treasury management, including cash management, foreign exchange management, and payments. To register and connect with Treasury professionals, click [HERE] or fill out the form below to get more information.
The seven sins of cash positioning: Challenges in modern treasury
This article is written by Nomentia From the outside, it looks like control. Dashboards. Reports. Daily check-ins. But talk to anyone in treasury, and the truth comes out fast: it’s not control. It’s the illusion of it.Behind the numbers is a daily scramble. Outdated data. The tools don’t talk to each other. Manual work dressed up as a process. And the real cash position? Always a little fuzzy, always a little too late. Treasury teams aren’t confused. They’re constrained. They’re being boxed in by tools and thinking that no longer fit the job. And as long as that illusion holds, every decision made carries more risk than anyone wants to admit. The experts Sarah Häger Sarah Häger is Chief Commercial Officer at Enable Banking and a leading voice in Open Banking. With over 15 years in corporate banking (including six years heading Nordea’s Open Banking Community team), she has deep expertise in financial data infrastructure and API development. At Enable Banking, she helps businesses gain better access to their financial data, a critical factor in improving cash visibility and control. Named one of Sweden’s top 75 future female leaders in 2019, Sarah is passionate about using regulation and technology to drive smarter financial decision-making. Jouni Kirjola Jouni Kirjola is the Head of Solutions and Pre-Sales at Nomentia with over 20 years of experience in corporate cash management and has deep expertise in cash forecasting, payment factories, in-house banking, and process development. The seven sins of cash positioning Treasury teams are told to manage risk better, improve forecasting accuracy, and ensure liquidity. But the system is rigged against them. Take Olivia. She’s the Group Treasurer at a multinational with operations in 22 countries and over 150 bank accounts. On paper, she’s responsible for ensuring liquidity and optimizing working capital. In practice, she spends most of her day fighting systems that weren’t built for the job. She knows where the money should be. But knowing where it actually is? That’s a different story. Her frustration isn’t unique. It’s structural. And it shows up in seven distinct — and persistent — ways. 1. Cash moves fast. Financial data does not Payments are instant now. Customers pay in real time. Suppliers expect the same. But the treasurer’s view of the company’s cash lags by hours, sometimes days. Her reports depend on batch processes, delayed bank feeds, and manual updates. By the time the numbers hit her screen, they’re already stale. She’s expected to act in real-time with data that simply isn’t. “Many treasurers today are still making decisions based on yesterday’s data in a world that moves in real time. This isn’t a technology gap anymore. It’s an adoption problem.” –Sarah Häger, Chief Commercial Officer, Enable Banking 2. Too many banks. Too little integration Her company has grown fast — through acquisitions, expansions, and regional deals. The result? A sprawl of banking relationships, each with its own portal, file format, and time zone. The treasury team jumps between systems just to check balances. There’s no consolidated view, no standard feed, and no way to get everyone looking at the same version of cash at the same time. “Every additional bank adds complexity, not just in reconciliation, but in contract management, compliance, access control, and real-time visibility. Without harmonized integration, it’s death by a thousand portals.” –Jouni Kirjola, Head of Solutions and Pre-Sales, Nomentia 3. Tools that weren’t built for real-time cash visibility The enterprise software stack was built for finance. Not treasury. ERPs are good at historicals, not live positioning. Olivia’s ERP can close the books, but it can’t tell her if she can move $5M today. APIs could help, but getting them to work across fragmented systems is expensive, time-consuming, and politically difficult. The treasurer’s toolkit is full of software but light on visibility. “ERPs weren’t built for liquidity decision-making. Treasury needs tools designed for now, not the month-end.”— Sarah Häger 4. Manual labor, modern stakes The mornings start in spreadsheets. Every. Single. Day. The process hasn’t changed in years: log into five bank portals, export yesterday’s balances, copy them into Excel, and manually roll it up into a position report. It’s slow, error-abundant, and draining. And yet, this is still the most reliable method the treasury team has. One wrong cell and the whole forecast is off, but she’s still expected to hit accuracy targets. “When spreadsheets are your source of truth, you’re not managing liquidity. You’re gambling with it.” –Jouni Kirjola 5. There is no single source of truth for cash Sometimes, Olivia’s numbers say one thing, the controller’s dashboard another, and the CFO sees something else entirely. Why? Because cash is scattered across entities, systems, and regions. There’s no single source of truth, just partial pictures, gut feeling, and, worst of all, old reports. And the treasurer has to live with the consequences. 6. Cross-border cash chaos The further the money goes, the less visibility she has. Asia-Pacific reports late. Latin America comes with conversion surprises. Europe follows its own rules. Every geography adds complexity. From time zones to regulatory delays to currency risks. The treasurer is supposed to optimize global liquidity. But the system is so fragmented that she can’t even be sure how much is truly available, let alone where and when. 7. Lack of automation and API adoption APIs are everywhere — except where she needs them. The banks talk a good game about real-time APIs. Providers like Enable Banking, for example, make those APIs accessible across Europe, even for companies with complex infrastructure. But Olivia’s internal setup is weighed down by competing priorities, siloed teams, and long IT queues. The potential is there, but turning it into a working reality still feels like pushing water uphill. “APIs shouldn’t be thought of as a tech upgrade. They’re an operating model shift. Real-time data flow is the foundation for modern treasury.”— Jouni Kirjola Judgment day: Decision without vision Olivia knows the risks aren’t just operational. They’re existential. Because when cash visibility is broken, decision-making happens in the…
Inside Treasury’s Debt Dilemma—and How to Tackle It With Confidence
This article is written by Palm Treasury teams don’t just manage cash. They manage complexity — and few things are more complex, and operationally demanding, than debt management. What starts as a practical financing approach — taking on a few loans to fund growth or stabilize liquidity — often turns into a sprawling network of financial obligations. It’s not unusual for treasury teams to manage dozens of loans across institutions, each with their own terms, rates, and covenants. When treasury teams manage dozens of loans across different maturities and interest rates, they often face fragmented debt management, operational overload, and scattered data across disconnected systems — risking missed payments, covenant breaches, and the consequences of loan defaults, credit rating drops, or public market fallout. This isn’t just a data issue. It’s an operational strain with strategic consequences. The Compounding Complexity of Debt Debt operations often evolve faster than the systems built to manage them. A few tactical loans can quickly spiral into a time-intensive burden. Tracking obligations is just the start; managing their growing ripple effects across the business is where complexity compounds. Each loan brings its own terms, rates, maturities, and covenants. A small oversight can have big consequences. And even when each loan is manageable alone, together they create a workload that demands constant vigilance. Add in shifting market conditions, stricter lender terms, and rising expectations from internal stakeholders, and debt turns from a supporting tool into a defining factor in how treasury teams perform. One loan? A spreadsheet works. Ten loans? You’re checking calendars. Fifty loans? You’re at risk of missing something important — not because the team isn’t skilled, but because the system wasn’t built for it. As loan volume grows, treasury teams face: This leads to a constant juggling of inputs and subsequent outputs. And in practice, even highly competent teams find themselves spending more time managing process than optimizing outcomes. What Treasury Teams Want to Avoid The stress of managing debt manually doesn’t just wear on time and resources — it wears on confidence. If repayments are missed or covenants are breached, the consequences escalate quickly. Lenders lose trust. Credit ratings are impacted. Risk od defaults. Internal stakeholders question reporting accuracy. And in today’s environment — where interest rates move faster, lender terms are stricter, and treasury teams are leaner — there’s little room for error. This operational overload creates serious risk that can waterfall: These aren’t edge cases. They’re common enough to make treasurers feel like they’re operating one step behind — all while CFOs demand sharper insights and faster reporting. Treasury’s credibility hinges on its ability to see what’s ahead and act early. Without the right infrastructure, that visibility collapses. What Better Looks Like A better approach doesn’t mean overhauling everything — it means integrating debt where it matters most. By folding debt directly into liquidity planning and reporting workflows, treasury teams unlock a smarter, more scalable strategy: With debt positioned as a core driver in your planning — not a side ledger — treasurers can make better decisions, sooner. They’re routine decisions — powered by accurate, integrated data. A more scalable, structured approach isn’t a luxury — it’s a necessity. When debt becomes part of the forecasting layer, treasury regains control. Instead of operating in the rearview mirror, teams can anticipate, model, and respond. The good news? There’s a clear fix — and it starts by bringing debt into the forecasting layer. That means: When debt lives inside your forecasting system — not adjacent to it — treasury teams unlock clarity. They can prioritize, consolidate, and renegotiate with confidence. Conclusion Debt is a powerful lever — but only if it’s managed with foresight. The best way to mitigate risk and regain control is by incorporating repayment schedules directly into your cash forecast and positioning cash accordingly. Smart positioning enables treasury teams to make deliberate, proactive moves: consolidating smaller loans, timing drawdowns with confidence, and renegotiating terms from a place of clarity. Just as importantly, covenants shouldn’t live in offline trackers. They need daily visibility. A central dashboard ensures nothing slips, so treasury leaders can focus on value — not risk response. This shift — from reactive to proactive debt management — is what separates teams that are firefighting from those shaping the future of treasury. The teams that adopt it now will be the ones setting the standard tomorrow. And that transformation begins with understanding where your process stands today. Also Read Join our Treasury Community Treasury Masterminds is a community of professionals working in treasury management or those interested in learning more about various topics related to treasury management, including cash management, foreign exchange management, and payments. To register and connect with Treasury professionals, click [HERE] or fill out the form below. Notice: JavaScript is required for this content.
From Static Cash to Symphonic Liquidity: Orchestrating the Future with Stablecoins
Written by Sharyn Tan (Views are my own) Picture this: As a corporate treasurer, you’ve spent years fine-tuning the art of cash forecasting—building buffers for the inevitable delays, sweeping funds across borders like a conductor waving a baton at half-speed, and staring at dashboards that only refresh when the banks deign to open their doors. The dream? Instant visibility into every pool of liquidity worldwide. Zero dollars (or euros or yen) sitting idle, earning nothing. And the freedom to redirect capital precisely where it’s needed, the moment it’s needed—no more “T+2” alibis or weekend blackouts. For decades, that vision felt like a cruel tease, confined to glossy consultant decks. But stablecoins? They’re the quiet revolution whispering that it might finally be within reach. From where I sit—deep in the trenches of global treasury strategy—they’re not just another fintech fad. They’re the potential bridge to a world of continuous liquidity orchestration, where cash doesn’t just sit; it flows like a symphony, responsive and relentless. Let’s unpack this. Traditional liquidity management is a masterclass in predictability—or at least, the illusion of it. We rely on batch processes: inflows timed to the second, outflows queued for the next available rail, and everything swept into notional pools that ignore the chaos of cut-off times, holidays, and those pesky interbank handshakes that can drag on for days. It’s efficient enough for a 9-to-5 world, but in our 24/7 global economy? It’s like trying to stream a symphony on dial-up. Enter stablecoins—fiat-pegged digital assets like USDC or PYUSD, engineered for stability and speed. When integrated carefully, regulated and battle-tested, they could settle transactions much faster than many legacy rails, sometimes near-instant. For institutions, this could represent a fundamental rerouting of how liquidity moves. Suddenly, treasurers aren’t just managing positions; we’re orchestrating flows—programming capital to dance between entities, markets, and even yield opportunities in real time. Imagine the possibilities: That excess cash pooling in a European subsidiary at 2 a.m. UTC doesn’t languish; it auto-routes to cover a dawn supplier invoice in Singapore, shrinking your working capital cycle by precious days. Or USD balances in LatAm, tokenized and earning 4-5% in short-term instruments while awaiting the next capex call— all without lifting a finger. Precautionary liquidity buffers? They shrink because funds aren’t trapped by geography or clocks; it’s fluid, on-demand, and always earning its keep. I say possibilities because in reality, cross-jurisdiction FX conversions, capital controls and counterparty checks could still slow things down. Similarly, tokenized assets may unlock yield, but access depend on the asset’s regulatory clarity and risk profile—especially outside the G7. The Real Shift: Not Replacement, But a Hybrid Harmony Don’t get me wrong—stablecoins aren’t here to evict your trusty banking partners. Those relationships? They’re the bedrock: credit lines, compliance muscle, and the kind of trust that’s hard to code into a smart contract overnight. What stablecoins do is extend the orchestra, adding instruments that play faster and louder for the high-velocity parts. Think hybrid liquidity layers: • Traditional rails for the heavy lifting—high-value, regulated, deliberate – ideal for high stakes solos and foundational support. • Stablecoin rails for the agile chorus—low-friction, programmable, eternally awake – responding instantly to urgent cues The treasuries that thrive will blend them seamlessly on a single dashboard, routing flows with the precision of a maestro. One minute, you’re hedging FX exposure via bank APIs; the next, you’re settling intra-group transfers on-chain to dodge weekend voids. It’s not disruption for disruption’s sake—it’s evolution, turning payments from a cost center into a liquidity superpower. But here’s where the rubber meets the blockchain: This isn’t plug-and-play. From my vantage point, piloting these shifts reveals the traps lurking just off-stage—integration snags, systems need tuning, accounting ambiguities, and the ever-present specter of regulatory whiplash. Stablecoins promise freedom, but without the right choreography, they can just relocate your liquidity bottlenecks from boardrooms to blockchains. A Treasurer’s Take: 5 Bold Moves towards Digital Liquidity (2026-2027) As treasurers, we know theory is cheap—execution is the real score. So, let’s talk brass tacks: What would moving toward continuous orchestration look like in practice? Here’s how you could approach it: How Close is the Crescendo? Closer than the skeptics admit, but not quite the full symphony yet. We’ve got the instruments: Scaled, audited stablecoins; institutional custody that’s treasury-tough; and central banks tinkering with tokenized deposits. Still, the gaps echo: Fiat-stablecoin bridges in every currency? I say give it another 18-24 months for the market to catch up. Universal tax clarity? Regulators are warming up, but it’s a slow adagio. And trust in smart-contract automation for non-crypto pros? That’s the finale we need to be composing for now. My bet: By 2028, hybrid stacks will be standard for most multinationals—some hitting the high notes in 2026, with trailblazers already in rehearsal. The question isn’t if continuous liquidity arrives; it’s who will lead the performance, and who will scramble for seats in the orchestra pit. Ready treasurers will move beyond theory and join the jam—building liquid, resilient, and programmable cash stacks for tomorrow’s markets. If you’re sketching hybrid architectures where fiat, stablecoins, and tokenized assets improvise together, let’s tune this thing together. The future of corporate liquidity isn’t a solo; it’s a collaboration waiting for its cue. So, what’s the thorniest trap in your liquidity score right now—regulatory fog, technology silos, or something else? Lorena Pérez Sandroni, Treasury Masterminds Board Member, Comments For me, as I have expressed in other times, stablecoins aren’t about chasing hype. They are about solving a very real speed problem in treasury. I see them as a practical instrument in the liquidity orchestra, especially when we are constantly battling cut-off times, slow FX rails, and capital stuck in limbo. But I stay pragmatic: cross-border FX rules, tax treatment, and uneven regulatory clarity mean you can’t just “go on-chain,” And honestly, the hardest part isn’t the technology—it’s shifting traditional minds that still equate digital assets with speculation. When you’re explaining that you don’t want crypto, you want faster balance-sheet mobility, you can almost feel the cognitive dissonance in the room. But that’s exactly why stablecoins matter: used carefully, they’re a tool for speed, precision, and…
The rise of AI in corporate FX risk management
This article is a contribution from our content partner, MillTech Traditional FX risk management processes are often manual, time-consuming and reliant on outdated tools—making it harder for corporates to respond quickly and efficiently in today’s volatile markets. It’s little wonder, then, that all respondents in our recent North American and UK corporate FX surveys said they are exploring the use of AI in some capacity to improve both operations and decision-making. In this blog, we take a closer look at how corporates across both regions are starting to adopt AI to reduce their reliance on resource-heavy manual tasks, and move towards more intelligent, tech-driven FX solutions. AI as a strategic tool for FX risk management AI is rapidly becoming a strategic priority for corporates on both sides of the Atlantic—especially as firms search for smarter ways to navigate currency volatility. Faced with ongoing geopolitical tensions, diverging monetary policies and a backdrop of macroeconomic challenges, FX risk management is naturally emerging as a key area of interest for innovative technologies. Corporates are beginning to take action: While these numbers reflect consideration rather than full-scale adoption, they signal a clear shift: AI is moving from theory to strategy in the world of corporate treasury. Commenting on the trend, Sam Hunt, CTO at MillTech, affirms: “The genie is well and truly out of the bottle with generative AI and any organisation not thinking about how this technology can enhance their offering risks being left behind. It’s clear from the findings that CFOs realise that in today’s fast-paced digital landscape, embracing AI-driven innovation is no longer optional but essential for staying competitive.” Early-stage exploration beyond risk management Building on this momentum, process automation and FX operations are also emerging as key areas of AI exploration among corporates in both North America and the UK: Together, these trends point to a broader shift: corporates are not only recognising the strategic value of AI, but actively seeking ways to embed it across their FX management strategy. AI use cases in FX According to Justin Xu, Head of Quant and AI Strategy at MillTech, AI is unlocking new levels of precision and control in currency management. Predictive analytics for FX risk management Machine learning algorithms analyse diverse source of information, including historical price movements, macroeconomic indicators, and central bank policies, to predict the direction and magnitude of currency market risks. These insights enable CFOs and treasurers to make more informed hedging decisions, minimizing exposure to currency risk. Natural language processing (NLP) for sentiment analysis NLP-powered AI models process news articles, central bank statements, and social media sentiment to assess market conditions. By extracting insights from both structured and unstructured data sources, corporates can more effectively manage event-related currency risks, thereby gaining a competitive edge in FX risk management decisions. AI-powered process automation Many FX-related tasks, such as trade reconciliation, compliance reporting, and KYC/AML processes, are time-consuming and prone to human error. AI-driven automation tools can help to streamline these workflows, reducing manual effort and improving accuracy. Looking ahead: What’s shaping the future of FX? When it comes to the future of FX operations, corporates on both sides of the Atlantic are placing their bets on emerging technologies—but not always in the same order. In North America, corporates are most optimistic about the impact of automation and data-driven tools, with notable interest in several other technologies: In the UK, corporates are leaning more heavily into blockchain and AI-led transformation: While AI is a consistent theme across regions, the variation in top priorities likely reflects differences in market maturity, regulatory environments and innovation appetite. What’s clear, however, is that FX functions are entering a transformative era—where advanced technologies are shifting from experimental to everyday use in FX strategies. Reimagining FX with AI: Inside MillTech’s next-gen approach At MillTech, we’re applying AI in practical, targeted ways to streamline processes and improve efficiency across the business and for our clients. Smarter compliance through document intelligence To ease the burden of regulatory onboarding, we’ve developed a generative AI solution that accelerates KYC and AML processes with our 15 counterparty banks. By extracting key information from complex legal documents, this tool significantly reduces manual effort and improves accuracy, transforming what was once a time-consuming task into a streamlined workflow. Empowering developers with AI-Driven code search Internally, we’re using generative AI to supercharge our development process. Rather than relying on outdated or scattered documentation, we use generative AI to let developers query the codebase directly, allowing them to retrieve accurate, context-aware answers, saving valuable time. Also Read Join our Treasury Community Treasury Masterminds is a community of professionals working in Treasury Management or those interested in learning more about various topics related to Treasury Management, including Cash Management, Foreign Exchange Management, and Payments. To register and connect with Treasury professionals, click [HERE] or fill out the form below to get more information. Notice: JavaScript is required for this content.
De-Dollarisation: Why Treasurers Can’t Ignore the Shift (And How to Build a Hedging Strategy That Survives It)
From Treasury Masterminds Every few years, the financial world picks a new buzzword to obsess over. This time it isn’t AI, blockchain or some other magic toy. It’s de-dollarisation. And unlike most corporate folklore, this one actually matters for treasury teams. The US dollar still rules global trade, sure, but its grip isn’t quite what it used to be. Its share of global reserves has slipped 60%, new regional payment rails are emerging, and multinationals are finding themselves invoiced in currencies they didn’t even bother to hedge ten years ago. In other words, treasurers are waking up to a world where FX isn’t a two-currency conversation anymore. What This Means in Real Life This shift isn’t just theory for economists who enjoy writing 200-page papers no one reads. It shows up in the basics: how you price contracts, negotiate payment terms, structure hedges, and manage liquidity across multiple markets. You’re navigating: And through all of that, you’re still expected to keep earnings predictable. Lucky you. Why You Need a Better Hedging Playbook A multipolar currency system doesn’t kill the dollar. It just forces corporates to be smarter. You need a hedging framework that covers more than EUR-USD and a prayer. That means: Companies already transacting outside USD are learning fast. They’re refining execution strategies, diversifying currency pairs, and using digital tools to make cross-border flows faster, cheaper, and more transparent. Treasurers who cling to old assumptions about the dollar? They’re already behind. A Webinar Designed to Help You Catch Up To make sure you’re not one of those treasurers still stuck in 2015, Treasury Masterminds is teaming up with Ebury for a live 45-minute session built around one simple goal: helping you design a hedging strategy that actually works in a de-dollarising world. You’ll learn: You’ll also walk away with Ebury’s Looking Beyond the Dollar playbook, because sometimes even treasurers deserve free gifts. Who Should Join? If your job includes anything like “treasury,” “liquidity,” “hedging,” “FX,” “working capital,” or “trying to sleep despite currency volatility,” this session is for you. That includes: Meet the Speakers If you want your hedging strategy to survive the next stage of global realignment, join us on 11 December 2025 at 11:00 CET. Also Read Join our Treasury Community Treasury Mastermind is a community of professionals working in treasury management or those interested in learning more about various topics related to treasury management, including cash management, foreign exchange management, and payments. To register and connect with Treasury professionals, click [HERE] or fill out the form below to get more information. Notice: JavaScript is required for this content.
FinTech Interview with Theo Wasserberg, Head of UK&I at Embat
This article is a contribution from our partner, Embat Theo Wasserberg, Head of UK&I at Embat, shares how AI and real-time data are transforming treasury management and shaping the future of finance. Theo Wasserberg, Head of UK&I at Embat Theo Wasserberg is Head of UK and Ireland at Embat. He leads the market strategy, customer partnerships and growth in the UK and Ireland. He has a strong background in enterprise software and spent five years at SAP, where he worked closely with ERP customers on banking and reconciliation solutions. He also led strategy for a leading ERP partner, helping CFOs navigate digital transformation across Europe. He completed his MBA at INSEAD in 2024. Theo, what pivotal moments shaped your journey into fintech and treasury management, and what continues to inspire you in this space?Earlier in my career, I worked with SAP and major implementation partners, delivering finance systems for large enterprises. During that time, I did a piece of work looking at the cost and time required to implement traditional treasury systems. It often took about 15 months and substantial investment to build the required capabilities. Embat can deliver these in a fraction of that time and cost. I realised that mid-market firms were particularly underserved – too large for basic tools, but not large enough for the expensive, complex legacy systems. That gap in the market and the opportunity to genuinely revolutionise treasury management continue to inspire me. During my MBA, I was a founding member of an AI club, where students and businesses would come together to discuss AI’s practical applications across different industries. That experience shaped my conviction that AI is fundamentally a problem-solver, not just a technology trend. Treasury systems are particularly ripe for AI transformation. Today, leading an AI-native business at a time of critical industry transformation feels like the natural culmination of that journey. The first quarter of this century redefined what was possible – driven by the democratisation of access, the rise of automation, and the relentless removal of friction. The next quarter will be shaped by something deeper: data that learns, intelligence that anticipates, and systems that think alongside us. The question isn’t if you need to modernise, it’s how fast. How are current macroeconomic pressures—like rising interest rates and inflation—reshaping the treasury needs of medium and large businesses in the UK?The macroeconomic environment has elevated the role of the treasurer. Rising interest rates, currency fluctuations, and inflation mean that cash management has become critical. Modern treasurers and CFOs are at the centre of the strategy and decision-making process. Delayed data is a risk. Businesses can no longer rely on old systems that only give a snapshot of data once a week and spend hours, if not days, sifting through Excel documents. Embat is helping to revolutionise the move to real-time visibility, management and intelligence. The companies that thrive are those using dynamic data to make faster, more informed decisions about liquidity, hedging, and investment In what ways is Embat’s platform revolutionising how companies centralise cash, accounting, and payments? How do you see this evolving in the next 3-5 years?Traditionally, treasury teams have been drowning in spreadsheets and week-old data, downloading bank statements weekly and reconciling transactions by hand. For a junior team member, that could account for a large portion of their working week. Embat changes that by connecting data in real-time and using AI to automate repetitive work. Instead of looking backwards, finance teams can now see their positions instantly and make strategic decisions proactively. Over the next few years, this will evolve even further with deeper ERP integrations, near-instant reconciliations, and predictive forecasting that make finance operations almost fully automated. Tell us about TellMe, Embat’s AI-powered treasury analyst. How is AI transforming treasury operations and finance teams’ workflows?Traditional reconciliation systems break the moment things get complex. TellMe is transformative. It’s already in use with our customers. It sits at the core of Embat’s platform and layers AI onto real-time data. That combination moves teams from simply recording what’s happened to understanding what’s happening now, and predicting what comes next. For example, in bank reconciliation, traditional systems depend on rigid rules and break easily when faced with non-standard cases. TellMe’s AI recognises patterns, tolerates small variances, and automatically matches payments, even when they don’t fit a standard template. It also forecasts cash flows, identifying trends and seasonality, so teams can plan more effectively. How do emerging regulations like PSD3 and open banking maturity influence treasury operations, and why is real-time cash visibility more crucial than ever?As PSD3 reshapes data-sharing rules, open banking reaches maturity, and real-time payments and intelligence become the norm, the gaps exposed in that Thursday-afternoon scramble – delays, blind spots, and manual workarounds – will only widen. The shift from compliance to capability is accelerating. Instant payments are now table stakes; what differentiates leading finance teams is how clearly and automatically they understand their cash position in real time. PSD3 enhances API standards, improves fraud data-sharing, and strengthens liability frameworks, all of which drive a need for greater transparency and control. Finance teams must now connect directly to their banks and ERPs in real-time, removing the lag between transaction and insight. Finance teams don’t just need to move money fast; they need to understand and steer their cash position in real-time, directly from their ERP. That means no delays in reconciliation, no black boxes, and no legacy drag. With AI automating routine tasks, how do you envision the role of finance professionals changing in strategy and decision-making?AI removes the time-consuming operational burden – tasks like matching transactions or compiling reports – so teams can concentrate on future cash flows, funding models, and scenario planning. This shift also allows finance to respond in real-time to changes in the market. In short, automation liberates people from process, so they can become true strategic partners to the business. Scenario modelling, risk management, and horizon scanning are areas where the benefits will become more apparent with AI. I don’t have to spend hours or days doing…
How Bitcoin treasuries are transforming corporate finance
This article is written by Fortris Spreadsheets shaped the 1980s, ERP systems defined the 2000s, and today, digital assets are transforming corporate finance. Bitcoin and other cryptocurrencies have quickly moved into the heart of treasury operations, setting a new standard for companies that want to stay ahead. The shift isn’t only about holding a new asset. It’s about how treasurers approach liquidity, risk and global payments. Well-run bitcoin treasuries can strengthen the balance sheet, open new payment rails, and give finance teams more flexibility in a volatile economy. So how can your treasury team handle the complexities of Bitcoin, Ethereum and stablecoins without adding extra risk or work? What is a corporate crypto treasury? Put simply, a corporate crypto treasury solution brings your work on managing cash and investments into the world of digital assets. Alongside dollars, euros and other fiat currencies, treasurers now manage Bitcoin, Ethereum and stablecoins like USDT and USDC. That means new responsibilities: A well managed crypto treasury gives your company more flexibility, smoother cross-border payments, and faster reconciliation. How to choose a crypto treasury solution A strong treasury in digital assets takes more than just buying Bitcoin. The systems and processes behind the scenes shape how efficiently your treasury runs, and can often make the difference between smooth operations and constant headaches. Here are the features you should be looking for: Multi-Currency Support Most companies don’t stick to one asset. A modern crypto treasury has to manage Bitcoin, Ethereum and stablecoins, with the ability to move between them seamlessly. Look for tools that allow your team to manage multiple cryptocurrencies in one place to avoid adding complexity to your workflow. Security and Compliance Digital assets must be stored securely, whether custodial or self-custody. At the same time, finance teams also need audit trails and clear reporting. Choose a solid treasury solution that provides strong digital asset custody, and combines strict access controls with records that are easy to export. Security can’t be optional, but it also shouldn’t make day-to-day tasks harder. Automated Sweeps and Consolidation In crypto treasury, deposits arrive at multiple wallet addresses to keep your funds secure. Without automation, treasurers waste hours tracking and reconciling deposits. Automated sweeps move your funds from individual addresses into a main wallet, reducing unnecessary risk whilst keeping transaction fees (known as gas fees in the digital asset space) low. Reporting and Analytics Data only helps if it’s clear. Dashboards that track inflows, outflows and key performance indicators give treasurers confidence in their decisions. Audit-ready reports make compliance and executive conversations much easier. Integration with Payments and Accounting Treasury doesn’t sit in isolation. It connects to payables, receivables, payroll and sometimes even customer payments. The best crypto treasury solutions integrate with accounting and payments so digital assets can be part of everyday operations, not just reserves on a balance sheet. How Bitcoin treasuries are changing corporate finance It is no longer curiosity alone driving forward-thinking treasurers towards crypto treasuries. Real, material, tangible benefits have transitioned from the hypothetical to the proven: For many treasury teams, adding crypto is about gaining flexibility and creating more options when navigating an unpredictable economy. The treasuries that manage digital assets effectively are the ones giving their finance teams the clearest view and most control. Also Read Join our Treasury Community Treasury Masterminds is a community of professionals working in treasury management or those interested in learning more about various topics related to treasury management, including cash management, foreign exchange management, and payments. To register and connect with Treasury professionals, click [HERE] or fill out the form below. Notice: JavaScript is required for this content.