In this article, the author explains why FP&A influence is determined long before the board pack is built, and how early engagement in messy, informal decision conversations is where real strategic impact is created.

The 30th meeting of the AI FP&A Committee was an open discussion focused on how Agentic AI will redefine the​ FP&A operating model.

In this article, the author explains how AI-driven, claim-level revenue intelligence enables healthcare FP&A teams to forecast cash more accurately, anticipate payer behaviour, and shift from reactive variance analysis to forward-looking financial decision-making.

In this article, we explore how FP&A leaders can modernise traditional budgeting through a hybrid model combining rolling forecasts, dynamic resource allocation, and AI-enabled planning.

In this article, the author shares a practical, insider-led framework for running an FP&A/EPM software selection process that reduces risk, avoids demo-driven decisions, and anchors the choice in real value.

Discover how FP&A leaders build AI maturity, align governance, cut through AI hype, and prepare for autonomous finance with structured strategy and measurable ROI.

In this article, the author explains why AI-powered data product platforms are becoming the foundation for faster, more trusted FP&A decision-making at scale.

In this article, the author demonstrates how AI can become a governed strategic collaborator in FP&A by combining operating-environment sensing with controlled model evolution under explicit human approval gates.

In this article, the author explains how AI in FP&A can evolve from automation to a governed strategic partner, if decision rights, governance artefacts, and accountability are deliberately designed.

In this article, we explore how Agile FP&A shifts finance from static annual planning to driver-based, scenario-driven decision support built on strong data foundations and integrated processes.