In a volatile business world, CFOs must pass from pure reaction to active anticipation. Real-time data, AI-based forecasts and scenario management help to minimize risks and take advantage of opportunities.

The “uncertain times” were and are a permanent condition. We encountered and encountered the current world situation every day on the title sheets of financial and auditing. The World UncertaAnty Index However, has increased continuously since 1990 and the events in particular of the past five years unsettle CFOs – sometimes more than ever. Established trends are disturbed by a number of unpredictable events in an increasingly complex global environment. The possibility of drawing up long -term forecasts is disappearing. Among other things, this persistent uncertainty leads to two out of five executive not adequately prepared for future market breakouts feel.

CFOs are faced with the task of developing methods with which your company can cope with these uncertainties and keep its market position. The following three fields of action crystallize:

Comprehensive real-time analysis and scenarioplanization

Traditional forecast methods reach their limits in a volatile environment. They are based on historical data and linear trends and cannot take sufficient account of short-term external influences such as customs increases or interruptions of the supply chains as well as daily political changes and new laws, for example in the field of ESG regulations.

In order to remain competitive in this increasingly dynamic economic environment, companies need more and more real -time information in combination with scenario -based modeling tools such as value driver trees. They enable CFOs to carry out real -time simulations and to predict the financial effects of external events for sales and costs. However, many companies do not yet have the necessary database for such real -time forecasts, which means that valuable potential cannot be raised.

A big data solution enables access to this required information. By integrating a cloud platform, companies can combine and analyze information from various sources-from ERP systems to internet sources to third-party data. This includes, for example, data from business travel management that improve forecasts through insights into employee expenses, travel expenses and expenditure trends. The database can be used to carry out extensive simulations that show the potential effects of changed parameters, such as an increase in a customs increase.

With such scenarioplanes, CFOs can not only react to changes, but also anticipate them with if-then simulations in their effects and consciously control them. This strengthens the resistance of the company.

AI-based data analysis and forecast

An unpredictable market fluctuations have to be reacted quickly. However, many CFOs still rely on time -consuming, sometimes manual processes and processes with process fractures to collect and evaluate data. For 38 percent of the CFOs, this provides according to the SAP Concur CFO Insights Report 2025 One of the greatest internal challenges. Artificial intelligence offers decisive advantages through comprehensive use of different data sources as well as through faster and more precise forecast models. It processes large, different amounts of data in real time and supports CFOs in this way in time -critical decisions.

A significant change is the transition from bottom-up to top-down forecast models: Instead of collecting data extensively from individual departments, AI systems CRM data and generate detailed sales forecasts. This method has often proven to be more precise than conventional approaches, since it compensates for the tendency of individual managers to appreciate sales forecasts too low and thereby distort forecasts.

Financial teams have long been decision -makers. This ability is continuously developed and improved by new methods and tools. Her focus is increasingly moving towards the derivation of recommendations for action from AI generated knowledge. In order to exploit the full potential of these technologies, you must also promote the active participation of all team members and a high -quality database. This is the only way to efficiently navigate your company through the volatile market environment and the challenges that are constantly changing.

Strategic adaptation and quick action

Real-time data and AI analyzes prepare financial managers for times of crisis or support them to solve crises-as well as in the generation of new sales strategies and cost models. For example, in connection with higher tariffs and trade conflicts, it applies that they skyrocket inflation and procurement costs within a very short time, which means that companies are faced with many challenges such as:

• Can the additional costs be collected by increased efficiency and/or passed on to customers?
• How do market (entry) shift strategies?
• How can supply chains be designed more stable?

Loud Gardener 45 percent of the CFOs do not have any direct adjustment plans for significant cost increases, such as those at the moment through tariffs. In the better case, CFOS risk profit losses, even in poorer the survival of their organizations. To avoid this, you have to weigh up to what extent you can manage the additional costs. On average, 73 percent pass on to customers to customers.

The price adjustment depends on factors such as margins, cash buffer as well as the competitive position and price sensitivity of the products. High profit margins and sufficient buffers can compensate for temporary cost increases, so that prices do not have to be increased immediately. In this way, market shares can be secured and even expanded, especially if competitors lose market shares due to the changed cost structures. In some cases, it can therefore also be profitable for companies with lower margins to keep prices stable.

However, timing is crucial: CFOs must assess whether it is a temporary situation or whether long -term adjustments are required to ensure profitability and market position. According to Gartner, CFOs are increasingly examining alternative strategies such as using customs exemptions, free trade zones and adapting the import structure in order to minimize effects of higher tariffs. Modern technologies such as digital twins can also help companies optimize supply chains and reduce costs. It is important to carefully weigh up all options in order to develop a tailor -made strategy and implement it quickly. This is how profit losses can be minimized.

Navigate through turbulent times

In the increasingly unpredictable business world, CFOs must act agile and forward -looking in order to be able to keep pace with the ever increasing dynamics. The decisive factor is not to rely on old structures, but to develop flexible and data -based scenarios and models and thus use new opportunities. The use of modern scenario management tools and AI-based forecasts is essential: real-time data with the help of artificial intelligence is developed by models and scenarios that help navigate through uncertain times. CFOs have the task of using these tools effectively and developing future -oriented strategies. Because the future belongs to those who are ready and capable of adapting quickly and flexibly.