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.

Join this FP&A Trends webinar on September 16 to discover how SAP is transforming its finance organisation to drive decision intelligence in the age of AI. Hear from Lukas Deutsch, Chief Controlling Officer at SAP, and another global finance leader as they share their organisations' transformation journeys and practical lessons learned.