The recent recognition of the CCH® Tagetik Intelligent Platform at the 2025 People’s Choice Stevie® Awards for 'Favorite New AI – Financial Product' serves as a significant marker in the evolution of Enterprise Performance Management (EPM). While industry awards often highlight software popularity, this specific accolade underscores a deeper shift in the expectations of modern finance leadership: AI is no longer a peripheral experiment; it is becoming the expected core of the financial technology stack.
The Shift from Descriptive to Predictive Finance
For decades, EPM solutions were valued primarily for their ability to centralize data and automate the consolidation process—moving from 'what happened' to 'where we are.' The integration of Generative AI and machine learning into platforms like CCH® Tagetik represents the industry's move toward 'what happens next' and 'how we should respond.'
For the CFO, this transition addresses the perennial challenge of the 'data-to-insight' gap. By embedding AI directly into the intelligent platform, finance teams can move beyond manual data preparation and pivot toward high-value analysis that informs corporate strategy in real-time.
Strategic Implications for Finance Leaders
The market’s validation of AI-centric financial products highlights three critical imperatives for finance executives:
1. The Democratization of Data Science: Historically, predictive modeling required specialized data science teams. Modern EPM platforms are bringing these capabilities directly to the FP&A professional, allowing for sophisticated forecasting and anomaly detection without leaving the financial environment.
2. Enhanced Speed to Insight: The award-winning nature of these 'Intelligent Platforms' suggests that the market prizes efficiency. Finance leaders must evaluate their current systems not just on compliance and accuracy, but on their ability to accelerate the decision-making cycle.
3. Closing the Trust Gap: The 'People’s Choice' element of this recognition is telling. It suggests that users are finding these AI tools approachable and reliable. Establishing trust in AI-generated outputs is the final hurdle for widespread adoption in the Office of Finance.
Navigating the AI-Driven EPM Landscape
As organizations look toward 2025 and beyond, the selection of an EPM partner must go beyond basic functionality. Finance leaders should assess potential platforms based on the maturity of their AI integration.
- Is the AI purposeful? Avoid 'AI-washing'—look for tools that solve specific use cases like predictive forecasting, automated variance analysis, and intelligent close processes.
- Is the data architecture robust? AI is only as effective as the data feeding it. A unified platform that bridges the gap between financial and operational data is essential.
- Is the platform scalable? The rapid recognition of new AI products suggests that the pace of innovation will only accelerate. Your EPM infrastructure must be agile enough to incorporate continuous updates.