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The US, China and the New Economic Reality – Waiting for What Comes Next

The US, China and the New Economic Reality – Waiting for What Comes Next

This article is written by HedgeGo The geopolitical and economic landscape is undergoing profound change. The US is at the centre of a global restructuring process accompanied by strategic economic policies. Changing approaches to trade and fiscal policy play a key role, in particular the increasing use of tariffs as a primary instrument for asserting economic interests. The State of the US Economy The United States runs large trade and current account deficits, which are offset by capital inflows from abroad. This means that foreign investors buy US assets to offset the deficits. At the same time, high fiscal deficits reinforce this mechanism by stimulating consumption and overall demand in the US. The result is rising deficits and increasing dependence on external capital flows. One solution to this problem would be a drastic fiscal consolidation programme. However, this would have serious negative consequences, ranging from a slump in consumption and a correction of overvalued financial markets to a possible recession. The associated collapse in demand for US dollars would severely disrupt the international currency structure and reduce the attractiveness of US assets. It seems highly unlikely that the US would be willing to pay this price for economic stability. Instead, it will continue on its current course: an externalising approach to economic policy that seeks to pass on the costs of its own surpluses and deficits to external actors. US Economic Power Set to Wane One aspect that is often underestimated is the role of the US in global trade in services. In particular, the large technology companies on NASDAQ generate a significant proportion of their revenues abroad – around 41% of their revenues come from international markets. Free access to these markets is therefore vital for the US economy. But there is a potential risk here: If countries under pressure use access to their markets as a bargaining chip or favour alternative suppliers, the US could find itself on the economic defensive. This is particularly true of regions that are vital to the global economy because of their resources or economic structures. Countries in Africa, Latin America and Asia increasingly have economic alternatives – especially China – that allow them to break away from their one-sided dependence on the US. A deeper tectonic shift in economic power structures is emerging. China in the Right Position China’s economic rise in recent decades has been dynamic, but not without excesses and structural challenges, for example in the property sector. Nevertheless, the country has established itself as a global economic partner and increasingly offers alternatives to US-led structures. While the costs of an economic exit from the US would have been prohibitive in the past, they are now much more calculable. This opens up new opportunities for countries that want to escape Washington’s economic pressure. Most importantly, China is no longer just catching up economically, but is already competing with the US in a number of technological and strategic areas, such as artificial intelligence (DeepSeek). As a result, the United States is increasingly losing its role as the hegemon with no alternative, which could have long-term consequences for the global economic system. Adaptability as a new core competency. Current developments are characterised by increasing volatility. In times like these, adaptability becomes a critical skill – not only at the government level, but also at the corporate level. While treasury departments have focused heavily on process optimisation and risk mitigation over the past 15 years, they are now faced with the challenge of adapting to a rapidly changing reality. Companies that do not develop this ability to adapt will find themselves unable to act in times of crisis. Processes that ensure efficiency in stable times may prove useless when economic conditions change fundamentally. Conclusion The coming years will be characterised by economic restructuring, geopolitical power shifts and increasing uncertainty. The US has failed to address its structural weaknesses through sustained reform and is instead trying to shift the costs of its economic strategy to other players. At the same time, China is emerging as an alternative economic power, offering new prospects for countries seeking to break away from US dominance. In such an environment, stability and predictability are increasingly illusory. The successful players will be those who can adapt quickly and flexibly to new circumstances. The era of stable processes is being replaced by an era of adaptive resilience. 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.

The Evolution of Payments: Non-Banks and Corporate Treasury

The Evolution of Payments: Non-Banks and Corporate Treasury

From Treasury Masterminds In recent years, a notable shift has occurred in the payments landscape, where traditional financial institutions (FIs) are no longer the exclusive gatekeepers of financial transactions. Increasingly, companies outside the traditional banking sector, including tech giants like ByteDance (parent company of TikTok) and Huawei, are obtaining licenses to operate payment services. This trend marks a significant evolution in how payments are managed and underscores the growing role of non-bank entities in the financial ecosystem. The Rise of Non-Bank Payment Providers Historically, payment services were dominated by banks and financial institutions due to regulatory requirements and infrastructure complexities. However, advancements in technology and changing regulatory landscapes have opened doors for non-bank entities to enter the payments space. Companies like ByteDance and Huawei, with their extensive user bases and technological capabilities, are leveraging their platforms to offer integrated payment solutions. Implications for Corporate Treasurers For corporate treasurers, this shift presents both opportunities and challenges, necessitating a shift in skill sets and strategic focus: Looking Ahead: Balancing Innovation and Risk While the entry of non-bank entities into payments introduces innovation and competition, it also raises questions about data security, consumer protection, and market stability. Corporate treasurers must navigate these challenges while driving innovation and growth within their organizations. Conclusion The trend of non-banks and tech companies obtaining payment licenses marks a pivotal moment in the financial industry’s evolution. For corporate treasurers, embracing these changes requires proactive adaptation to leverage new opportunities while navigating regulatory complexities and safeguarding financial interests. As the payments landscape continues to evolve, treasurers play a crucial role in shaping strategies that balance innovation with risk management, ensuring sustainable growth and resilience in a dynamic market environment. 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.

The Dream and Dilemma of Multi-National Digital Currencies: Promise or Pipe Dream?

The Dream and Dilemma of Multi-National Digital Currencies: Promise or Pipe Dream?

This article is a contribution from our content partner, Deaglo What Is an MNDC? A multi-national digital currency (MNDC)—a shared digital medium of exchange issued and accepted by multiple countries—carries both significant potential and complex challenges.  The Case For MNDCs: Efficiency, Inclusion, and De-Dollarization The main benefit of an MNDC is reduced transaction costs and frictions. Remittance costs fall, and cross-border payments become more efficient and cheaper by bypassing intermediaries and multiple currency exchanges. Also, real-time settlements are a huge benefit. Instant or near-instant clearing and settlement of payments improves cash flow and reduces counterparty risk. It’s perhaps a dream that will never materialize, but a shared digital currency could promote economic cooperation and integration within regions (e.g., LATAM/MERCOSUR, ASEAN). It would definitely boost trade by reducing the uncertainty of currency fluctuations. Hidden Gains: Real-Time Settlement and Monetary Credibility A less obvious but similarly important advantage is that smaller or less stable economies can benefit from anchoring their monetary system to a larger, stable multi-national framework. It can also enhance credibility and reduce inflation in jurisdictions with weak monetary institutions. For the smallest or poorest jurisdictions, MNDCs can help integrate unbanked populations into the financial system through digital wallets. Perhaps the most discussed advantage recently is the desirability of de-dollarization -an MNDC would reduce dependence on the USD and its clearing mechanisms, redistributing global monetary power and reducing dollar dominance.  Economic Sovereignty at Stake: The Major MNDC Tradeoff The biggest downside of an MNDC is the loss of national monetary policy autonomy. Member countries would lose control over interest rates, inflation management, and currency adjustments—especially problematic during economic shocks or asymmetric crises. Central banks may not be able to respond effectively to domestic conditions without being able to control interest rates or issuance volume. Central banks would be relegated to operating under a regional monetary council or policy board, similar to the ECB.  Central banks would still likely manage liquidity provisioning to and regulation of domestic financial institutions. Balancing privacy rights with AML/KYC obligations would still be left with central banks working with regulators.  Policy Gridlock and Regulatory Discord Differing regulatory regimes, privacy standards, AML/KYC requirements, and tax rules could hinder implementation. Looking at how long it took the ECB to become a functioning unit, and how fractious the EU/ECB is today, reaching consensus on governance, issuance rights, and monetary rules among sovereign states is nigh on impossible. Disagreements could even lead to political instability. Digital Risks and Systemic Threats Lastly, there are significant cybersecurity and operational risks. A digital currency introduces new risks of hacking, fraud, or technical failure, with large-scale economic consequences. The infrastructure must be secure, resilient, and interoperable across borders. A Realistic Alternative: The Rise of CBDCs Currently, there are timid forays into national digital currencies. These are so-called stable coins, backed by fiat currency. You could call these National CBDCs (Central Bank Digital Currency). Issuance and management would be by individual central banks. This would give them full autonomy over monetary supply, interest rate setting, and currency circulation. This control would allow tailoring to local economic goals and policy tools. Citizens already familiar with their own central bank are more likely to trust and adopt a national digital currency. Cross-Border Problem Still Unsolved However, they still don’t solve the cross-border problem. MNDCs provide seamless cross-border transactions within member countries. There is no FX risk or cost, which is a huge effect (and would eliminate a great deal of banks’ profits with the disappearance of derivatives!). With a CBDC, cross-border ecosystems are fractured; each CBDC must interoperate via bridges or hubs of some sort (TBD). To many countries’ delights, MNDCs reduce reliance on external currencies like USD or EUR. They could empower regional blocs (e.g., Mercosur, CELAC) to assert economic sovereignty. The BRICs Digital Currency Fantasy: Political Fractures and Monetary Chaos There has been a lot of talk (but no substantial action other than some fraudulent videos released by Russia) about a BRICs currency. This is pure fantasy. BRICs are not a politically homogeneous bloc. They span democratic and authoritarian regimes, with varying levels of openness, transparency, and geopolitical alignment. More importantly, these economies maintain radically different currency regimes that would be impossible to reconcile: There’s already competition among them for control- China, India, and Russia may each want to lead or host the MNDC infrastructure or reserve system. Also, each country has its own national digital currency ambitions (e.g., e-CNY, Digital Rupee, Digital Ruble), which is counter to an MNDC. Establishing a common policy rate or jointly managing digital monetary supply is nearly impossible without deep monetary convergence and political alignment. Additionally, volatile inflation and interest rates in countries like Brazil and South Africa make it doubly hard. The group would need to create a new supranational monetary governance framework. This would face strong resistance, especially from China, Russia and India, who may not want to dilute sovereignty or accept external control. Conclusion: MNDCs Are a Vision of the Future—Just Not the Near One MNDCs of any sort are going to be difficult to implement, solving some problems but causing new ones. An MNDC across the BRICs (or even MERCOSUR) is complete fantasy, given the vast disparities of ambitions, control and other factors. Not to mention, one of the BRICs – Russia – is under heavy sanctions. It’s doubtful that India or China would commit to a currency association under these conditions when they wish to remain integrated into the worlds main financial systems.  CBDCs solve some of the problems, and within each country would vastly ease transactions, clearing, and avoid the pitfalls of MNDCs lack of autonomy and control. But they do not solve the problems associated with trans-border transactions. 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…

AI in KYC: The five key questions senior leaders should be asking

AI in KYC: The five key questions senior leaders should be asking

This article is a contribution from one of our content partners, Avollone I hardly need to point out the ways in which Artificial Intelligence (AI) has exploded into our lives – both personal and professional – over the past few years. I recently read an EY report that said that 90% of European financial services firms have integrated AI to some extent and 69% expect Generative AI (GenAI) to significantly impact productivity. To take an example from our own industry, GenAI is often put forward as a way to streamline the more labor-intensive and time-consuming tasks in KYC operations. The way I see things, there’s no denying that AI holds gamechanging potential. However, I think it would be foolhardy for executives not to acknowledge its risks, many of which are very complex. One of the reasons for this is that modern AI and machine learning models tend to work within a ‘black box’, with data points working together in ways that are impossible for a human to understand. So executive teams are often left scratching their heads, feeling sure that AI could offer value in their KYC processes but equally not wanting to expose their organisation to unknown risks.  To shed some light on the matter, I’ve come up with five key points for leaders considering AI in KYC to discuss with their teams 1. How can AI enhance our KYC processes?  Rather than getting sidetracked by shiny new technologies, we advise our customers to think about the problem they’re trying to solve, and how (or if) AI can help. There are a myriad of ways in which AI can be effectively deployed to boost efficiencies within the KYC space. For example, AI can extract tasks and related due dates from an incoming email, generating and assigning sub-tasks for individuals to act upon. It can prompt the collection of data from counterparties – or even source the correct information from public sources. At Avallone, our mantra is that AI should act as a user’s “wingperson”. It should augment, rather than replace, the work of the human. By taking each KYC task case by case, we work with our customers to determine where it makes most sense for AI to streamline their processes.  2. Where can we find experts in AI for KYC?  A significant portion of firms say that they have limited GenAI expertise within their workforce, and we know that Machine Learning and AI are typically areas with the widest talent gaps. While it’s important for leadership to take a long-term approach to building key skills within their teams, executives often view this issue the wrong way around. In fact, you don’t need AI experts to determine how best to improve your KYC processes. AI is a tool like any other, and what’s most important is to place that tool in the hands of someone who fully understands the problem you’re trying to solve. You need KYC experts who understand all the complexities within this space, and who also have an overview on where automation could be implemented for the greatest gain and least risk.  3. What are the potential pitfalls in using AI for KYC?  Treasury and compliance leaders are right to proceed with caution when using AI. As AI becomes more commonplace within the industry, it’s naturally falling under increased scrutiny by regulators. For example, the European Commission’s recent AI Act promotes principles of safety, ethics, transparency and accountability – requiring transparent model decisioning, explainability and tracking of data privacy. Regulators are penalizing organizations who fail to adopt the correct approach – as they should. Unfortunately, an increasing number of organizations are falling foul to these regulatory requirements. Recently, a Danish bank used AI to close thousands of alerts, however they were unable to explain the AI-driven decision-making process and were forced to re-process them manually. In Germany, a bank was fined €300,000 for not being able to justify why AI rejected a customer’s credit card application. Failure to ensure transparent decision-making can cost an organization in time, money and reputation – often negating the original benefits of AI. Given the significant risks that AI introduces, senior leaders must be sure that there are adequate controls in place to protect both their business and customers – often this involves balancing automation with human oversight. As well as ensuring explainability of all decisions, organizations must also stay updated with the ever-evolving technological and regulatory developments. Executives need to  ensure that they have adequate resources to manage this extra workload either within their own teams, or through collaborating with a trusted partner.  4. How – and why – should we balance automation with human oversight?  It’s widely acknowledged that AI can perform many tasks faster, more efficiently and more cost-effectively than humans. However, particularly in KYC, human verification is a crucial step. Let’s take a practical example: collecting key financial information from investors to send to your bank. Automating parts of this process can save teams significant time and resources – AI can scan a questionnaire, and source and add missing data points. However, automatically sending this data onto your bank is a step too far. With no human oversight, your organization is left open to data breaches, errors, fines, and untold reputational damage. Not to mention the issues surrounding accountability – who is actually responsible if AI makes your investors’ sensitive information public? None of these consequences are worth the risk. Simply by building in a layer of human approval before sending the package to your bank, you mitigate against these harmful scenarios.  5. How can we integrate AI with our existing and future workflows?  At Avallone, we focus on collaborating with our users to understand where it makes most sense to automate. We recommend starting with the obvious, repeatable tasks and building from there. By automating in small and digestible ways, Treasury teams are able to retain full control and accountability while also enjoying AI’s full benefits. And while each AI use case may seem minor, the ultimate impact on…

How Executives Are Using AI to Lead Smarter: Key Takeaways from the Huszár Consulting Survey

How Executives Are Using AI to Lead Smarter: Key Takeaways from the Huszár Consulting Survey

In May and June 2025, Huszár Consulting surveyed 143 senior professionals—mainly C-levels, founders, and team leads—across industries like technology, financial services, and professional services. The aim: to understand how AI is currently used in leadership and what holds back broader adoption. Here’s what the data reveals. In May and June 2025, Huszár Consulting surveyed 143 senior professionals—mainly C-levels, founders, and team leads—across industries like technology, financial services, and professional services. The aim: to understand how AI is currently used in leadership and what holds back broader adoption. Here’s what the data reveals. 1. AI Usage Is Nearly Universal A striking 97.6% of respondents report active use of AI in their work. This is not a hypothetical trend—it’s already happening. Most common use cases include: Less common applications include coding (4.6%), image generation (4%), and video generation (1.5%). This suggests AI is primarily used for cognitive, communication-heavy tasks rather than technical development. 2. AI Is Already Impacting Leadership—But Not for Everyone Over half (51.2%) of respondents say AI has already made them more effective leaders. Meanwhile, 36.6% believe it could help, but they haven’t seen the impact yet. Only 2.4% dismiss its relevance entirely. This points to a key theme: belief in AI’s potential is high, but visible proof of impact varies. The strategic takeaway? The more it’s used in daily decision-making, the more tangible the value becomes. 3. Biggest Barrier? Lack of Time When asked what’s holding them back from using AI more confidently, the top answer wasn’t ethics, trust, or compliance—it was lack of time (30.5%). Other notable barriers include: Interestingly, this marks a shift from earlier AI narratives focused on fear or ethics—today, practical adoption constraints are front and center. 4. Curiosity Runs Deep The survey collected over 100 open responses on AI learning interests. Themes included: Some responses even veered into AI’s societal and geopolitical impact—mentioning military regulation, quantum computing, and emotional development. A sign that leaders are thinking beyond just tools and toward long-term implications. 5. Strategic Insights for AI Adoption The report outlines four practical recommendations for organizations: Final Thought This survey doesn’t aim to represent the entire market—it’s a directional signal from innovation-forward professionals already experimenting with AI. But it’s clear that the wave of adoption is underway, and the focus is shifting from why to how. Board Reflections from Treasury Masterminds We asked a few of our board members to react to the findings. Their comments will be added below. Want to share your own experience with AI in treasury? Join the conversation on Treasury Masterminds or drop your thoughts in the comments. Is this data reflective of your reality? COMMENTS Daniel Huszár, AI Strategist & Educator, comments: The findings reflect something I’ve been seeing in conversations for months. Many people are using large language models daily. They rely on them to write, research, summarize, and think. But more importantly, many are beginning to ask a different kind of question, not just “what can this tool do,” but “how do we structure work around it?” People are now thinking about agents, orchestration, and how to build systems around AI. A lot of these voices are coming from leaders, consultants, and managers. People who may not call themselves “technical” but are actively using AI to help them work. It also means that if you’re waiting to “get more technical” before engaging with AI, you might be waiting too long. If you can write a clear sentence, you can prompt a model. If you understand your team’s needs, you can begin to design AI support. One of the strongest themes I am seeing: those who use AI regularly are more confident in its potential, and more aware of its limitations. That confidence comes from trial and error. So if there’s one thing I’d encourage, it’s this: use the tools. Start today. Build your own understanding by experimenting, especially before thinking about automating everything with AI agents. Bojan Belejkovski, Treasury Masterminds Board Member, comments: Across industries, I’m seeing (a rather slow) AI shift from abstract hype to a practical tool for speeding up decisions, refining communication, and surfacing strategic options faster. I believe the real value isn’t in technical complexity but how AI helps leaders analyze trade-offs, align teams, and drive action with more clarity. That said, one barrier that I keep noticing, and is still holding people back, is fear of being replaced or becoming less relevant. At all levels. However, staying away from AI only delays the learning curve and limits your value. The leaders embracing AI aren’t trying to replace judgment because they’re using it to sharpen thinking and operationalize strategy more effectively. Tanya Kohen, Treasury Masterminds Board Member, comments: This is a great conversation. I’d offer you that one of the most valuable roles AI can play for leaders isn’t necessarily in decision-making itself, but in preparing for it. AI can help reduce bias by utilizing broader information sources, spotting patterns, and distinguishing correlation from causation. These are tasks that often distort judgment simply because leadership doesn’t have the time or access to relevant information. Used thoughtfully, AI can serve as a powerful partner in thinking, helping leaders ask better questions before rushing to answers. The hesitation around AI adoption often gets framed as a time issue, but I think it’s more rooted in unfinished digital transformation. Many organizations are still working through messy data, siloed systems, and unclear process ownership. Without clean inputs and a shared understanding of “what’s true,” even the best AI tools won’t deliver meaningful results. Leaders may want to lean in, but the foundation isn’t quite solid yet. That’s why the biggest opportunity lies in fixing the basics like streamlining access to data, creating clarity on ownership, and making sure teams at every level can trust and act on the same information. 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…

Why Modern Cloud Treasury Management Systems Are Better for SMB Debt Portfolio Management?

Why Modern Cloud Treasury Management Systems Are Better for SMB Debt Portfolio Management?

This article is a contribution from our partner, TreasuryView Despite 80% of CFO offices and treasury teams still relying on spreadsheets, this method poses significant risks in today’s volatile market. Errors, losses, and inefficiencies are all too common. Times are changing and SMBs can play in the big league now, too.  Shortcoming of Traditional Treasury Systems. Especially for SMBs Implementation time is long, including IT, trainings Traditional systems typically take 4 to 18 months to implement, causing significant delays in operational capabilities. During this time, businesses are often stuck in a holding pattern, unable to address ongoing issues effectively. Lack on innovation on a financial field The financial field is constantly evolving, yet legacy systems use outdated methods that create major operational challenges. Manual reconciliations, for instance, might seem minor with error rates between 0.8% and 1.8%. However, for companies processing 100,000 transactions daily, this results in 800 to 1,800 errors each day, potentially leading to compliance issues and financial inaccuracies. Furthermore, manual processes hinder productivity and heighten operational risks. Treasury teams often find themselves bogged down with email documents, version comparisons, meeting schedules, and data entry. These inefficiencies drain resources and create vulnerabilities in critical financial operations. High Direct and indirect Costs of Traditional TMS The direct and indirect costs of traditional TMS are substantial, encompassing months of sales discussions, implementation expenses, and significant investments in server hardware, IT staff, and software licenses. Most companies underestimate these ongoing costs, which include: Long contracts: risk of getting the Software that does not meet the CFO team members actual need. Traditional, entreprise- level TMS usually comes with binding contracts without the opportunity to test the software in advance to figure out, would it be user friendly but moreover, does it solve as many problems as the users have. Sometimes easier solutions could meet 80% of the needs and have the opportunity to really “try the software out” before you agree the contract for years. How Cloud Debt Management Software Makes a Difference? Especially for SMBs. Cloud-based debt management software enables financial teams to make decisions with unprecedented precision and confidence from day one. Easy to implement and user-friendly, platforms like TreasuryView often offer a free trial, allowing you to test the software risk-free. There are many advantages, especially for SMBs:  Immediate Operational Readiness, Easy to Use. No istallations. Just log in and start working! Cloud-based debt management software like TreasuryView is ready to use now and gives financial teams clarity and insights to make informed decisions. With precision and confidence, from day one. Platforms have intuitive UX – designed end user in mind.  This immediate readiness minimizes the cost of inactivity, enabling you to start making informed decisions quickly. Accessible and Affordable. Cloud-based software is designed to be straightforward to integrate. For SMBs, this means entry into the “big league” is not only possible but also practical. The ease of use and the option to try the software without any financial commitment reduce the barriers typically associated with advanced financial systems. Intelligent Scenario Testing with integrated market data. Cloud systems excel in flexibility and foresight, offering intelligent scenario testing that traditional systems cannot match. You can simulate thousands of potential outcomes based on historical data and current market conditions. This capability allows for detailed contingency planning, like assessing the impacts of currency devaluations, customer defaults, or supply chain disruptions on cash positions. Unified Data Foundation for Error Reduction – Everyone are Working with the same data. Collaborate easier accross subsidiaries or teams. And shate access with your accountant or CFO.  A unified data foundation means that all stakeholders—from finance team members to external partners—work from the same set of accurate, up-to-date information. This centralization significantly reduces human errors and enhances overall data integrity, making it crucial for SMBs that need reliable data for decision-making. Security and Compliance Management, like SSO. Cloud debt management software provides strong frameworks that ensure ongoing compliance with changing regulations. Systems in cloud maintain detailed audit trails and monitor every modification, creating verifiable, compliant financial reports. Such rigorous security management is essential for protecting sensitive financial data and maintaining trust in increasingly regulated environments.  For example, TreasuryView is hosting all clients´ data in Germany. See more from TreasuryView security matters.  Comparison: Modern Cloud Debt Management vs Traditional System Traditional TMS Modern Cloud System TreasuryView Implementation Usually 4-18 months Immediate, cancel anytime User Professional, requires training Intuitive, suitable for all finance levels Annual Cost High upfront, ongoing time and license costs Subscription-based, affordable pricing Scalability Might requires significant hardware upgrades Highly scalable without significant additional costs Security Dependent on in-house measures; often outdated Advanced security features, regular updates Integration with systemy Often requires custom solutions Easy integration with existing systems User Accessibility Access mainly from on-premises Accessible anywhere via internet Latest Market Data Not available Pre-integrated Automation Entreprise automation Personal and enterprise automation Risk Engine None Built-in More about Spreadsheets vs TreasuryView in Debt management.  Modern businesses can’t rely on traditional treasury management systems anymore Cloud-based solutions make debt management better and easier, especially for teams in SMBs and teams who search the alternative for Static Spreadsheets.  Cloud solutions are changing how financial decisions are made. AI-powered analytics and integrated market data cut forecast errors in half and let companies test different scenarios easily. They also improve compliance management and build a solid data foundation that all stakeholders can use. Business leaders should take a hard look at their treasury operations. Old systems waste resources with long setups, security risks, and integration problems. Cloud solutions fix these issues.  Cloud treasury software has become the new standard for debt management. The revolution that “it needs to take ages and €€€ to work” has begin.  You can make better decisions already tomorrow. 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…