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AI in FP&A: From Experimentation to Business Value

Building Trust, Control and Value Into AI-Driven Financial Planning

AI is now widely accessible, but many finance teams are still working out where it can create meaningful value.

While pilots and proof-of-concepts have become common, turning AI into a reliable part of planning, forecasting, and decision-making remains a challenge. Questions around governance, accountability, data quality, and business ownership are often harder to solve than the technology itself.

This whitepaper explores what it takes to move beyond experimentation and apply AI effectively in FP&A. It examines the role of connected planning, the growing interest in agent-based AI, and the foundations organisations need to scale AI with confidence.

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Navigating the Next Phase of AI in Finance

Move beyond disconnected AI pilots and isolated use cases
Build trusted and accountable AI capabilities for finance
Prepare for the next generation of Agentic AI

Download the full whitepaper to learn how finance leaders are moving from AI experimentation to business value.

Inside you'll discover how to:

  1. Bridge the Gap Between AI Experiments and Business Value Understand why many organisations struggle to move from proof of concept to production and what finance teams can do differently.
  2. Navigate the Rise of Agentic AI Explore the evolution from traditional AI assistants to autonomous agents and what this means for FP&A and finance transformation.
  3. Avoid the AI "Pit of Despair" Understand the common reasons AI initiatives stall and how to build a scalable path to adoption.
  4. Prepare Finance for the Future  Gain practical guidance for transforming AI from an emerging technology into a core component of modern FP&A.
  5. And more...