According to a 2024 ICAEW report, 98% of CFOs lack confidence in their company’s cash flow visibility. This lack of trust hampers their ability to respond effectively to market fluctuations. Nomentia, a European leader in treasury and cash management solutions, announces an enhancement to its existing cash flow forecasting solutions with powerful AI features. This upgrade accelerates implementation while delivering more advanced and precise forecasting for businesses.
A 2024 survey by Agicap revealed that 37% of UK CFOs operate with unreliable cash flow forecasts, and 63% lack short-term forecasts. This inaccuracy costs mid-sized UK businesses an average of £660,000 annually, including £47,000 in overdraft fees—91% more than companies with reliable forecasts.
As businesses have increased demand for boosting efficiency with AI-driven solutions, treasurers and finance professionals are also looking for treasury management solutions equipped with AI to elevate their performance. A study by Sidetrade and PwC France and Maghreb found that over 80% of companies are investing in AI to enhance cash flow processes, despite budget cuts. Additionally, 87% are actively engaged in finance transformation projects, with 98% focusing on optimising Order-to-Cash processes. AI provides exceptional power for data processing and the technology could enable treasury and finance teams to achieve more accurate, real-time financial insights for proactive risk management.
Accurate cash flow forecasting has always depended on data quality and analytical rigor, but traditional methods struggle with volatility and rapid market shifts. AI transforms this process by automatically detecting and correcting anomalies, accounting for seasonal patterns to minimise forecasting errors. With real-time data synchronisation in one single platform, eliminating data siloes and outdated projections, AI-powered cash flow forecasting supports businesses to move beyond reactive planning and adopt a proactive financial strategy.
At Nomentia, predictive analytics for cash flow forecasting has been researched, implemented and perfected for years alongside with industry-leading clients. This has enabled us to bring the highest performing AI forecasting model specifically built for treasurers. The upgrade also includes improvement in implementation, allowing users to quickly access and leverage AI-driven cash flow forecasting.
Jukka Sallinen, Chief Executive Officer at Nomentia, expressed enthusiasm for the new milestone: “For years, we’ve worked alongside our clients to refine AI-driven cash flow forecasting, ensuring it meets the real-world challenges of modern treasury teams. With the power of AI, cash flow forecasting is not just a necessity, but a strategic advantage.”
With AI-powered forecasting, businesses can reduce uncertainty, optimise liquidity and make more confident financial decisions. In today’s rapidly changing markets, staying ahead means leveraging technology that not only predicts cash flow but also continuously adapts to new challenges – ensuring long-term financial stability and growth.
Hubert Rappold, Senior Treasury Expert at Nomentia, shared his perspective: “AI is revolutionising cash flow forecasting by eliminating blind spots and providing real-time, data-driven insights. Instead of relying on static models, treasury teams can now adapt dynamically to market shifts, improving liquidity management and financial resilience.”
With AI-driven cash flow forecasting, Nomentia aims to equip businesses with highly accurate predictions and enhanced operational efficiency, enabling treasurers to make faster and better financial decisions.
As businesses face mounting financial pressures and market volatility, AI-powered cash flow forecasting offers a game-changing solution. Nomentia’s innovation highlights how AI can transform traditional practices into dynamic, predictive tools that drive smarter decisions. By embracing this technology, treasury teams can gain the accuracy, agility, and resilience needed to secure their financial future in a rapidly evolving landscape.
