AI in FP&A creates value when earlier analytical signals are connected to governance, ownership, escalation, and accountable management decisions.

The 2026 FP&A Trends Survey reveals that AI is widening the gap between FP&A teams with strong data, planning, modelling and business partnering foundations and those still constrained by manual work and fragmented processes.

Fernanda Noronha, Director of Finance, Process Optimization, Data & Analytics at Grainger, shared a presentation, "AI Won’t Transform FP&A—The Operating Model Will."

There is a fundamental question that many CFOs ask, which this paper answers: How should FP&A be structured for the situations it uniquely faces to make better decisions and generate more value than at present?

That answer relates to FP&A’s operating model – the integration of structure, roles, governance, processes, data, technology, and decision rights that determine how FP&A work is initiated, governed, and translated into business decisions.

A practical roadmap for using xP&A to connect strategic, operational and financial planning across the business.

FP&A leaders must redesign talent pipelines before AI automates the early-career tasks where finance judgement was traditionally built

FP&A Agent Managers will become essential as AI agents move from task automation into forecasting, scenario analysis, controls, and financial decision-making.

Check out the recording of the FP&A Trends Webinar to learn how to turn fragmented data into a structured, AI-ready foundation. Discover practical steps to improve data quality, embed AI into your data pipelines, and enable scalable planning, integrated models, and faster, more confident decision-making.

Agentic Planning helps FP&A teams move from static budgets to dynamic, driver-based planning supported by AI, stronger ownership, and faster decisions.

A digest on why forecasting value depends not only on accuracy, but on readiness, timing, assumptions, and decision relevance.