In this digest issue, you will find a practical guide examining how Agentic AI is driving the move toward autonomous finance, along with articles offering practical and reflective perspectives on what this shift means for FP&A professionals.

In this article, we summarise key insights from “The Power of FP&A Storytelling” webinar, exploring how tailored narratives, action titles, and AI-enabled workflows can transform data into decision-ready messages.

In this article, the author explains how deliberately building a differentiated FP&A skillset, combining commercial finance, group FP&A exposure, and systems transformation, enabled his transition to Head of FP&A.

In this article, the author explores FP&A evolution from a traditional reporting and stewardship role to a function that actively shapes strategic decisions through embedded business partnership and IMPACT capabilities.

Check out the recording of the FP&A Trends Webinar to explore the art and science of FP&A storytelling. Senior finance practitioners and thought leaders will share how they define their audience, structure messages for impact, build credibility with data, and communicate insights in a way that travels beyond the finance function.

In this article, the author explains how a self-service, button-press integration model enables FP&A teams to accelerate forecasting cycles, eliminate IT dependency, and restore trust in enterprise planning data.

This digest issue focuses on storytelling as an everyday FP&A practice. Looking at narrative framing, mindset change and humour, these pieces highlight how FP&A professionals build credibility and trust through the choices they make in communication — often long before decisions are taken.

In this article, Ashok Manthena reflects on what 2025 really delivered for AI in FP&A — cutting through hype to explain where value emerged, where transformation stalled, and what must change to turn noise into signal.

In this webinar, we will explore how organizations can enable Integrated FP&A at scale by connecting data, drivers and assumptions, models, and technology into one coherent planning system that meets the needs of processes across the business.