As the introduction of artificial intelligence (AI) supercharges enterprise performance management, or EPM, functionality, CFOs will find it an invaluable tool for building an agile, insight-driven finance function. But first, let’s address four misconceptions about AI in EPM.
#1: AI is only for automating routine tasks.
While AI is great at automating time-consuming tasks like data gathering or reconciliation, its greater value lies in enhancing decision-making. AI-powered models can produce highly accurate, up-to-date forecasts by analyzing vast internal and external data sets that reveal market trends and competitor activity.
Further, AI-based anomaly detection can automatically flag unusual variances in financial or operational data that might signal risks or opportunities. Finance teams can use these insights to help proactively manage what matters to the business, helping CFOs deliver real-time performance leadership.
#2: Our traditional forecasting models are reliable enough.
Traditional forecasting methods rely solely on limited data sets and static assumptions, leaving organizations vulnerable to unforeseen market shifts. AI introduces a higher level of insights by identifying key business drivers and their complex interdependencies, facilitating more realistic and forward-looking planning.
By moving beyond simple historical extrapolation, AI enables predictive and prescriptive analysis that helps finance teams explore future scenarios and respond to changing conditions with agility and confidence.
#3: AI is meant to replace finance professionals.
A common fear is that AI will make human expertise obsolete. Rather, AI-enabled business systems act as partners, automating the time-consuming, routine work of data consolidation and validation and freeing up finance professionals to focus on higher-value activities like strategic analysis and advisory.
AI-driven analytics uncovers hard-to-see patterns, simulates what-if scenarios, and provides forward-looking insights, so finance leaders can offer deeper, more strategic guidance to leadership.
#4: Implementing AI in EPM is a complex task best suited to large enterprises.
The idea of implementing AI can feel daunting, but leading AI-enabled EPM systems have the functionality baked in and are designed to make cutting-edge AI capabilities accessible and scalable for organizations of all sizes.
Top platforms now embed AI directly into core financial processes, eliminating the need for complex customization projects or dedicated data science teams. Organizations can start small, realize quick wins, and use more functionality over time.
By leveraging AI-driven predictive modeling, finance leaders can achieve measurable ROI through faster planning cycles, greater forecast accuracy, and reduced manual effort. Embracing AI in EPM isn’t just for large enterprises; it’s a present-day imperative for businesses of all sizes looking to gain a competitive advantage.
Connecting AI to action with NetSuite EPM
NetSuite EPM brings AI directly into the heart of financial management, making powerful, new capabilities practical and easy to adopt. The platform helps organizations move from insight to action by leveraging predictive analytics for more accurate forecasting, detecting hidden patterns and anomalies in data, and automating key processes like account reconciliations and month-end close.
With AI embedded across financial workflows and business processes, CFOs can better understand what’s happening in the business and why, enabling smarter, faster, more data-driven decisions.
Learn more about NetSuite Enterprise Performance Management.
