Why FP&A teams need Minimum Effective Models to reduce forecasting complexity and support faster, better decisions.

AI-enabled scenario planning helps FP&A move beyond forecasting by turning uncertainty into signals, triggers, owners, and accountable decisions.

Join this webinar to discover how leading finance practitioners see the next evolution of FP&A Business Partnering — from insight and interpretation to challenge, choice and influence. Explore how FP&A can shape critical decisions earlier, strengthen its commercial impact and use AI to create more capacity for higher-value Business Partnering.

Finance needs a new operating model that connects data, product thinking, and AI to reduce manual work, scale judgment, and build decision-ready FP&A.

This Digest examines what Finance must strengthen before scaling AI and automation safely.

Credit-based revenue forces FP&A to move beyond seat-based forecasting and build models that reflect consumption, customer behaviour, product usage, and revenue recognition complexity.

Daniel Franken, Finance Director & Managing Director Germany at Trouw Nutrition, shares how his team applies five FP&A roles: Analyst, Architect, Data Scientist, Storyteller, and Influencer.

AI in Margin Management explains how FP&A can move from margin visibility to accountable decisions by linking leakage signals to drivers, ownership and intervention

FP&A can build stronger investment discipline by using past returns, clearer success metrics, and CEO/CFO sponsorship to improve future capital allocation decisions.

How FP&A can align assumptions, define triggers and use real-time scenarios to move from changing signals to timely decisions.