This Insights Paper explores why FP&A transformations often fail during implementation rather than at the start. It introduces the FP&A Change Leadership Framework, showing how finance leaders can place people at the center of change, overcome organizational resistance, reduce the "Lag Tax," and build the capabilities needed to embed lasting new ways of working and deliver successful transformation outcomes.

Learn why AI-enabled working-capital visibility is not enough, and how FP&A can connect cash signals to ownership, action and learning.

This article explains how AI, connected planning and a redesigned finance operating model can move FP&A from analysis to decision orchestration.

The article is not only about AI cost. It argues that FP&A gatekeeping, business-case approval, cost allocation, and post-go-live budgeting must change.

At the recent FP&A Trends webinar, we learned how leading organizations are improving forecasting agility, enabling faster scenario analysis, and using technology to support proactive, data-driven decisions.

As AI automates routine finance work, future FP&A careers will depend on building finance judgment, business partnering, and decision-focused skills.

This issue looks at AI in finance and what FP&A teams need around AI outputs before they become trusted, challenged, and actionable decisions.

Check out the recording of the FP&A Trends Circle to explore how FP&A leaders are evolving from analysts into orchestrators of performance, decision-making, and business value in an AI-enabled world.

An AI-enabled FP&A operating model aligns technology, governance and organisational readiness so automation improves decisions rather than simply accelerating reporting.

Agentic AI can transform finance workflows, but FP&A leaders must build governance, auditability, and human-in-the-loop controls before scaling autonomy.