It seems that everywhere you look, AI is making waves, and EPM is no different. While the idea of an intelligent tool that can automate tasks, analyse data, and provide insights might be relatively simple, the application can be far more complex. Here’s an easy guide to help you in your AI journey.
Transforming finance
AI, with its ability to process and analyse immense volumes of data, promises to transform the way companies make strategic decisions. EPM solutions are leveraging the power of AI to not only improve the accuracy of data processing but also to enable predictive insights, automate repetitive tasks, and facilitate more dynamic decision-making.
AI can process large datasets in real time, identify complex trends and provide strategic insights. This helps decision-makers anticipate market developments, spot inefficiencies and act quickly. Thanks to machine learning algorithms, AI can exploit historical data to predict future performance. For example, it can anticipate demand variations or cash flow fluctuations, enabling better planning. AI makes it possible to locate untapped growth opportunities and detect potential threats to the company. This information is essential for adapting business strategy and making proactive decisions.
AI’s Machine Learning algorithms continuously learn from new data, improving their accuracy over time. For instance, ML-powered EPM tools refine budget estimates and planning processes as they process more organisational data. AI can also identify anomalies in datasets that might indicate errors, fraud, or inefficiencies.
How AI Is Used in EPM
Enhanced forecasting
Traditional EPM systems rely on historical data for forecasting. AI enhances this by analysing trends, identifying patterns, and providing predictions with greater precision. AI-powered forecasting helps businesses prepare for market fluctuations, optimise resource allocation, and anticipate risks. AI uses historical data and real-time inputs to generate highly accurate forecasts for revenue, expenses, cash flow, and sales performance.
Scenario modelling
AI enables advanced scenario modelling, helping businesses simulate the impact of potential changes, such as new investments or market shifts, on their performance. In other words, AI enables finance teams to model “what-if” scenarios across different variables and assumptions, including market downturns, pricing changes, supply chain disruptions, and interest rate fluctuations. AI can therefore help leaders make better decisions under uncertainty by evaluating impact in real time.
Planning and rolling forecasts
Instead of static annual budgets, AI supports real-time updates to plans and forecasts as new data arrives. This includes data from demand shifts, operational data feeds, and market signals, enabling true agility in financial planning. AI also helps identify and validate key business drivers that have the most significant impact on financial performance, making planning more precise and strategic.
Automated insights and recommendations
AI surfaces key drivers and root causes behind financial trends without requiring manual analysis. For example, finance teams can use AI to establish why sales dropped in a region, which product lines are underperforming, or where costs are escalating.
Anomaly detection
AI algorithms scan financial data and flag unusual patterns or potential errors in transactions, forecasts, or budget allocations to catch risks and inconsistencies before they snowball into bigger problems.
Benefits of AI in EPM
Reduced manual effort
Automation powered by AI minimises time spent on repetitive tasks like data entry, reconciliations, and variance analysis. This frees up finance teams for strategic analysis, not data cleanup.
Improved accuracy
Advanced algorithms ensure data reliability, enhancing the quality of reports and forecasts.
Scalability
AI-powered EPM tools can adapt to the growing complexity of organisational data.
More strategic finance function
With AI handling routine analytics, finance teams can shift from reporting the past to shaping the future—becoming true partners to the business.
Enhanced collaboration
AI-integrated EPM tools provide self-service access to insights across departments, making planning and decision-making more inclusive and aligned. AI therefore effectively breaks down silos between finance, operations, and leadership.
AI agents
Leading EPM vendors have started building AI agents into their solutions. Capable of performing various kinds of data analysis for CFOs and their teams, these agents can autonomously perform tasks and make decisions on behalf of users or systems, often with speed, consistency, and scale that far exceeds human capabilities.
AI agents range from chatbots that can provide business context or assist in creating reports, to deep analysis agents designed to address highly complex financial questions after processing large volumes of documents. For example, a document agent can help automate procure-to-pay processes by ingesting images of sales quotes and creating requisitions. Ledger agents can help resolve a revenue variance near quarter end.
Challenges
Despite its many advantages, integrating artificial intelligence into an existing EPM implementation is not without its complications. Many companies operate with complex ecosystems that include CRM, ERP and other management tools. Bringing these systems into an AI ecosystem often requires significant technical adjustments, infrastructure upgrades and specialised resources.
Data is the foundation of any good AI system, but if the company’s data is incomplete, disorganised or erroneous, the results produced by AI will be biased. Many organisations therefore need to invest in data structuring and cleansing before their AI tools will work for them.
While there are a number of technical challenges faced by organisations looking to integrate AI into their existing EPM tools, one of the most important decisions will be implementing the right AI solution. A purpose-built AI-enabled EPM solution can mitigate most of these challenges, allowing finance teams to quickly and easily access the benefits of AI.
What you want from your AI investment
Trust
Finance leaders need to trust the data being used. Verification and transparency are essential to ensuring that AI models built on the company’s data are reliable and can be trusted to provide accurate insights.
Security
Security is paramount in the finance world, especially when dealing with sensitive financial data.
Ease of integration
AI is most powerful when seamlessly unified into existing workflows. Purpose-built AI-enabled EPOM solutions allow finance teams to take advantage of sophisticated AI models without needing to be data science experts.
Choose the right partner
To leverage the power of AI effectively, organisations should seek professional guidance. With the right choice of tool, combined with the right implementation and support partner, companies can drive efficiency and enabling smarter decision-making. Partnering with EPM consultants helps businesses unlock the full potential of AI, paving the way for sustainable growth and competitive advantage.
