FP&A understands scenarios — but turning them into something usable takes time, coordination, and alignment across data, models and teams. Too often, that effort comes too late. In this digest issue, we explore why — from the role of foresight in decision-making to the practical limits of scenario planning and the data foundations behind it.

In this article, FP&A leaders explore how finance teams can evolve from transactional reporting to strategic business partnering through predictive analytics, AI, and mindset transformation.

In this article, the New York FP&A Board explores how organizations can operationalize Agile FP&A through driver-based planning, integrated processes, and technology to enable faster, predictive, and scenario-driven decision-making.

In this article, the author explains how FP&A professionals can structure AI prompts using modern reasoning frameworks to generate more accurate insights, analyses, and board-level narratives from large language models.

In this article, finance professionals learn which AI tools matter most for FP&A, how to use them safely, and where they can deliver immediate productivity gains.

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In this article, the author explains why FP&A career “luck” is not random but deliberately built through a combination of high-quality work, clear business storytelling, and visible decision impact.

In this article, the author explains how CFOs can build “AI-ready FP&A” teams through disciplined governance, value-led pilots, and structured upskilling to turn AI ambition into board-ready financial outcomes.

In this article, insights from the London FP&A Board explore how AI agents and agentic systems may transform FP&A operating models, decision rhythms, and the future role of finance professionals.