What can organizations do to stay ahead of AI-driven payment fraud?

The key is shifting from reactive fraud detection to proactive control design. This means embedding automated verification, dual approval, and behavior-based anomaly monitoring directly into payment workflows. Teams that continuously test and adapt controls are best positioned to counter AI-enhanced social engineering and executive impersonation.

What should companies consider when selecting a treasury management solution?

Evaluate how well the solution integrates with your ERP and banking systems, supports real-time liquidity visibility, and automates forecasting and payments. Modern platforms should offer API connectivity, strong compliance controls, and scalable modules that adapt to the company’s growth and complexity.

What are the prerequisites for AI-based cash flow forecasting?

The key to AI-supported cash flow forecasting is the data base. This must go back at least three years and contain sufficient details on historical cash flows so that they can be recognised by the algorithm and the cash movements can be assigned to the correct planning category. In order to create accurate forecasts with AI, the relevant expertise is also required. If this knowledge is not available within your team, you will need external consultants or a software solution such as Nomentia Cash Flow Forecasting.

How much data history do I need for AI to make sense?

It is recommended to have at least three years of history in order to be able to make accurate forecasts and analyses. A common misconception here is that if you have a forecast period of X time units, you need 3 times X as history. This is incorrect. Even if you are only forecasting 13 weeks, for example, you need a period of three years history to be able to identify seasonality and outliers. As an extreme example: If you want to forecast week 4 based on 3 weeks history, you can immediately see that this does not make sense because there is no intra-month seasonality available from previous years and the amount of data is far too small.

Where does the historical cash flow data for the forecast come from?

Ideally, the data can be derived from the ERP system through document chain analysis. This is the most effective option, as the data already contains the necessary details required for categorizing payment transactions. However, especially in a heterogeneous ERP landscape or when working with ERP systems that do not classify transactions, document chain analysis is often not feasible. In such cases, a secondary approach must be used, where the data is taken from bank statements. With this method, payment references can provide some insight into the category of the cash flow, but the level of detail is significantly more limited compared to document chain analysis.

Can AI recognise the payment behaviour of individual creditors, or is this done on a general basis?

AI can be used to recognise the payment behaviour of each individual creditor. However, when data volumes are low, similar creditors are often clustered according to country, etc.

How do you select the right models for forecasting?

Different models can yield very different results on the same historical data, depending on the data itself. That’s why it’s crucial to select models based on accuracy, speed, and transparency. Nomentia automatically preselects suitable models based on your data and requirements, but users can also add or exclude models manually. The reasons why a model has been chosen - like for example assumptions like seasonality or holiday effects - are clearly outlined in a report. The definite best model is chosen by running the forecast with the preselected models and comparing the results against actual historical data.

How to prevent "overfitting" of the models?

The risk of a model learning the training data ‘by heart’ and thus being unable to generalise to new data is prevented by validating the models with historical data and selecting the most suitable model. Another key factor here is the selection of parameters for the models, which are determined using a dedicated neural network.

How long does it take to calculate a forecast with AI?

The calculation time depends on the amount of data and the complexity of the models. However, it usually only takes a few minutes per company and category.

Does the use of AI for cash flow forecasting pose a data protection risk?

The type of AI used in cash flow forecasting – also known as predictive analytics – is based on selected historical payment data and algorithms that recognise patterns in this data. If AI-based planning is carried out using a software solution, the algorithms are pre-programmed in the system and the liquidity forecasts are calculated within the system itself. Sensitive cash flow data is therefore processed in the secure environment of the solution and is not passed on to external third-party providers.

How transparent are forecasts generated using AI?

Some providers of AI-based cash flow forecasting, including Nomentia, offer graphical representations that break down the factors included in the forecasts. This creates transparency about how the forecasts were calculated and makes them more transparent. Nomentia also provides a detailed report for each forecast on the internal and external factors taken into account, which can highlight observations and trends that a treasurer might not be able to identify with the naked eye, thus ensuring a deeper understanding of the various influencing factors.

How does AI enhance cash flow forecasting accuracy in treasury?

AI automates data aggregation across banks and ERPs, applies multiple forecasting models, and continuously learns from deviations between actuals and predictions. This self-optimizing process improves forecast precision, frequency, and decision speed for treasury teams managing complex liquidity.

How does automation transform the bank reconciliation process?

Automation connects banks, ERPs, and accounting systems to match transactions in real time. It reduces manual work, eliminates errors, improves auditability, and provides instant visibility across entities — turning reconciliation from a reactive task into a proactive financial control.

When should treasurers use the direct vs. indirect cash flow method?

The direct method gives an immediate view of real cash inflows and outflows — ideal for short-term liquidity planning. The indirect method adjusts net income for non-cash items to reveal long-term trends. Many treasurers use both direct and indirect methods: direct for daily visibility and indirect for strategic forecasting and performance analysis.

What should companies look for when choosing bank reconciliation software?

The best solutions offer automated bank feeds, multi-bank integration, and rule-based matching to eliminate manual effort. They should support multiple currencies, integrate with ERP/accounting systems, flag exceptions instantly, and provide real-time visibility to strengthen accuracy and control.

How do liquidity management solutions improve treasury decision-making?

They consolidate real-time cash data from ERPs and banks, automate forecasting, and enable scenario modeling. With integrated analytics, treasurers gain a single source of truth for liquidity — improving accuracy, minimizing manual effort, and supporting faster, data-driven strategic decisions.

How accurately does the solution forecast cash flow?

Accuracy in cash flow forecasting helps companies make timely financial decisions, reducing reliance on expensive short-term borrowing. Nomentia’s cash and liquidity forecasting tool leverages real-time data integration and robust analytics to enhance precision, giving finance teams a reliable view of future cash positions.

Can the forecasting solution integrate with our existing ERP and banking systems?

Integration ensures seamless data flow, enhancing data reliability and reducing manual input errors. Nomentia’s cash and liquidiy forecasting solutions connect easily with major ERP and banking platforms, consolidating all cash and liquidity data in one place for efficient, informed forecasting.

How often can forecasts be updated?

Frequent cash and liquidity forecast updates are crucial in volatile markets to adjust for cash flow fluctuations. Nomentia supports real-time and on-demand forecasting updates, allowing businesses to adapt quickly and maintain visibility over their cash positions.

Does forecasting solution provide multi-currency support?

For global businesses, managing cash in multiple currencies is essential to avoid FX risk. Nomentia’s multi-currency support simplifies liquidity forecasting across regions, enabling accurate aggregation of funds and FX exposure analysis.

Does the forecasting solution support scenario planning?

Scenario planning helps companies prepare for cash flow uncertainties. Nomentia’s forecasting tool includes scenario modeling, allowing finance teams to simulate various conditions and assess liquidity impacts, aiding in more resilient financial planning.

How scalable is the solution as we grow?

Scalability ensures that the forecasting tool can grow with the business. Nomentia’s solutions are designed to expand easily, adapting to additional accounts, new markets, and higher transaction volumes, making it a long-term liquidity management partner.

What are best practices for managing cash pools in a centralized treasury?

Effective cash pooling requires clear governance, transparent intercompany agreements, and automation through a TMS. Treasurers should set participation rules, define interest policies, and monitor balances daily to ensure liquidity optimization while maintaining compliance and audit readiness.

How can companies effectively mitigate liquidity risk?

Liquidity risk mitigation starts with accurate visibility into cash positions, reliable forecasting, and strong contingency plans. Treasurers should stress-test scenarios, diversify funding sources, and align liquidity buffers with business strategy to remain resilient under market volatility.

How does a cash management system enhance target balancing?

A Cash Management System (CMS) automates sweeps and top-ups across group accounts based on predefined target levels. It ensures liquidity is deployed efficiently, minimizes idle cash and borrowing, and provides real-time visibility — turning daily balance management into a strategic liquidity control process.

Why is integration with ERP and bank accounts essential for in-house bank software?

Integration allows a unified view of cash positions across subsidiaries, enhancing liquidity planning and reducing the manual work involved in consolidating data from various systems.

How does real-time cash positioning support treasury goals?

Real-time positioning helps treasury teams make timely, data-driven decisions, reducing the risk of cash shortfalls and ensuring funds are optimally utilized.

What are the benefits of intercompany settlement automation?

Automated netting and settlement reduce redundant payments, cut transaction costs, and simplify tracking, which is crucial for companies with complex intercompany structures.

Why is multi-currency support important for global operations?

Multi-currency handling mitigates FX risks and simplifies cash management across regions, reducing costs related to currency conversion and external hedging.

How does centralized cash pooling improve financial efficiency?

Central pooling optimizes internal cash flow by redistributing funds as needed, lowering borrowing costs, and improving the organization's financial agility.

What security features are essential in in-house banking software?

Fraud prevention, approval workflows, and role-based access reduce risks of unauthorized transactions, protecting sensitive data across global operations.

What are the first steps to building a liquidity management plan?

Start by mapping all cash inflows and outflows across entities and banks. Define liquidity KPIs, centralize data collection, and automate visibility through a TMS or reporting tool. From there, establish forecasting routines and governance to ensure long-term cash control and stability.

In the last few years, with the U nited K ingdom (UK) business landscape having changed a lot, sufficient cash management has become a top priority for companies looking to streamline operations, manage foreign exchange risk, and ensure compliance. With Brexit-related currency volatility and evolving regulatory requirements, companies need robust cash management solutions that provide real-time visibility and seamless integration with both domestic and international banks. This article explores the current cash management challenges in the UK and the top solutions available for 2025.

In this article, we explore key factors in selecting a payment hub solution, emphasizing that the best choice depends on the complexity of your payment operations, your geographical footprint, and your goals for balancing process improvement, control, and payment security. It details essential payment hub solution features to consider, like automation, payment file format transformation, and bank connectivity, while providing a structured approach to selecting and justifying the right solution.

What are the key considerations when choosing a payment hub?

Consider scalability, integration capabilities, automation features, cost-efficiency, security measures, and vendor support when selecting a payment hub solution to ensure it meets your specific business needs and growth plans.

How can I ensure my payment hub is secure?

Ensure your payment hub solution employs robust security measures such as encryption, multi-factor authentication, and real-time fraud detection. Ensure the solution adheres to industry standards and regulations for data protection.

What is the average cost of a payment hub solution?

The cost of a payment hub solution varies widely based on features, scale, and deployment. On average, costs can range from a few thousand annually for small businesses to several hundred thousands for large enterprises.

How does a payment hub integrate with my existing financial systems and software?

A payment hub solution integrates with existing financial systems and software through APIs, data connectors, and pre-built integrations. Ensure compatibility with your ERP, accounting software, and other systems to streamline data flow and process automation.

What types of businesses benefit the most from implementing a payment hub solution?

Businesses with complex payment processes, high transaction volumes, or multi-country operations benefit the most from a payment hub solution. This includes large enterprises, rapidly growing SMEs, and organizations with extensive regulatory and compliance requirements.

How do payment hubs help with regulatory compliance across different countries?

Payment hubs facilitate regulatory compliance by providing standardized processes, automated reporting, and real-time monitoring of transactions. Payment hubs help businesses to align their payment processes and to ensure adherence to local regulations and international standards, reducing the risk of compliance issues across different countries and jurisdictions.

How to protect your payment security is the key question in the emerging threat landscape. In this article, Nomentia's Jouni Kirjola answers key questions about securing corporate payments and preventing payment fraud. By exploring both emerging threats and best practices, we offer practical advice on how businesses can protect themselves from fraud attempts, maintain compliance, and strengthen the overall integrity of their payment processes.

In a recent interview, Jukka Sallinen, CEO of Nomentia, discussed the rapidly changing landscape of corporate cash management. He emphasized key drivers like technological advancements, economic volatility, and shifting regulatory frameworks that are shaping the future of cash management and business operations. He stressed the increasing role of automation, artificial intelligence, and other emerging technologies, noting that while these innovations present significant opportunities, it is essential for businesses to remain anchored in sound financial principles. According to Sallinen, embracing these changes is crucial for staying competitive, but long-term success will depend on balancing innovation with prudent financial management.

How does Nomentia’s Sanctions Screening solution help companies stay compliant?

It automates the screening of payments against international sanctions lists, flagging and blocking non-compliant transactions in real time. The tool reduces manual work, manages false positives with whitelists, and integrates into existing payment processes — ensuring compliance, protecting reputation, and improving operational efficiency.

Seamless bank and system connectivity, automated payment fraud prevention, and cash flow control - What are the tech-savvy and fast-to-scale Swedes looking for in a payment hub solution? In a recent interview, Nomentia's Helene Cardelli shared the trends and requirements of payment process harmonization for businesses in Sweden. Multinational or operating in a single market, SMEs and large enterprises can benefit immensely from adopting a payment hub solution, which gives them greater control over their cash flows, improves transaction accuracy, and enhances their ability to quickly adapt to the changing business landscape. Swedish businesses look to payment hubs to free treasury and cash management professionals to focus on more value-added tasks, which all companies should aspire to.

How does Nomentia's payment hub solution integrate with our existing ERP, accounting, and banking systems?

Seamless payment hub integration ensures that businesses can automate payment processes without the need for manual data entry or complex workarounds. It reduces errors and enhances efficiency. Nomentia Payments integrates smoothly with any bank, ERP, or banking system.

Can Nomentia’s payment hub solution handle multi-currency and cross-border payments?

For companies dealing with international transactions, handling multiple currencies and cross-border payments is crucial to ensure smooth global operations and Nomentia’s payment hub solution handles multi-currency and cross-border payments with ease.

Can Nomentia’s payment hub solution automate payment approval workflows, and can these workflows be customized?

Customizable approval workflows help businesses maintain control over payments while streamlining the process and ensuring compliance with internal policies, which is a core functionality of Nomentia's payment hub solution.

We operate in only 2-3 countries. Is a payment hub right for us?

A payment hub can still be beneficial even if your operations are limited to 2-3 countries. Improvements in security alone make a valid argument for a payment hub, even for businesses with manageable geographical footprints, but cost savings from automation and process optimization are also something to consider.

Does Nomentia’s payment hub support real-time payment processing and reconciliation?

Real-time processing and reconciliation provide immediate visibility into payment status, enabling businesses to manage cash flow and accounts more effectively, which is why Nomentia’s solutions support them.

We operate in +50 countries. Can Nomentia Payments handle that?

Yes, Nomentia Payments can handle operations in over 50 countries. In fact, Nomentia has processed transactions in over 80 countries and supports more than 60 different currencies. Our payment hub solution is a robust one for managing global payments, ensuring compliance, and maintaining security across multiple regions.