AI-based anomaly detection automates financial processes, enhances accuracy and enables predictive analytics for smarter decision-making.

FP&A teams have played a critical role in organisations for a long time. However, traditional FP&A is no longer sufficient. Economic volatility, shifting demographics, emerging technologies, and data overload demand a more agile, insight-driven FP&A. This paper explores what makes modern FP&A teams effective, outlines four essential layers to meet today’s business needs and provides practical steps to implement them.

AI-powered anomaly detection reduces manual workload, enhances financial reporting accuracy, and streamlines financial close processes.

This article will explore the challenges faced by finance departments today regarding deviations and anomaly detection, particularly during the financial close processes. 

Discover how AI agents revolutionise FP&A by enhancing decision-making, streamlining workflows and enabling professionals to focus on strategic insights and creativity.

The article showcases Microsoft's "Modern Finance" journey, led by Takeshi Murakami, highlighting how Artificial Intelligence and advanced technologies transform finance operations by automating tasks, enhancing decision-making, and enabling a strategic focus.