Check out the recording of the FP&A Trends Webinar to explore how finance teams can augment their capabilities with AI and turn potential into performance.

AI-enabled forecasting will expose weak KPI logic. Learn how FP&A can connect drivers, decision routines and governance before risk escalates.

Finance has a strange job. We are not the ones making most of the business decisions, yet we are the ones expected to explain them. All of them, including the ones we had no part in making.

This issue explores how Integrated Finance helps FP&A move beyond fragmented systems and support faster, better business decisions.

AI-ready data helps FP&A teams move from fragmented reporting to trusted, decision-focused planning and stronger AI-enabled analysis.

Join this FP&A Trends Webinar on August 26 to explore why FP&A transformations fall short, what leading organizations do differently, and how technology enables sustainable transformation.

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.