Artificial Intelligence is transforming FP&A by improving forecast accuracy, automating repetitive tasks and enabling finance teams to focus on strategic business partnering.

Mastering AI in FP&A isn’t just about technology — it’s about overcoming human resistance to change. Discover how emotional intelligence and structured change management can drive successful AI adoption in finance.

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.

This article explores how Thompson Sampling leverages AI to refine dynamic pricing strategies and maximise profits in unpredictable markets.

This paper explores how FP&A teams can lead in an unpredictable era, drawing on insights from 260+ International FP&A Board meetings across 19 countries, 30+ research papers, and input from over 50,000 senior practitioners worldwide. We identified the top 5 trends that will shape FP&A in 2025 and beyond, therefore offering a roadmap for finance teams to become agile, data-driven partners capable of navigating complexity with confidence.