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.

At the recent FP&A Trends webinar, we launched the new FP&A Trends and EY paper, The FP&A Operating Model: Designing the Corporate Decision System for the AI Era. Check out the recording to learn about a practical framework for identifying where your current model falls short and what to change first.

Agentic AI is reshaping FP&A by automating repeatable finance workflows while raising new questions about governance, accountability, auditability, and human judgment.