This paper is a practical guide for finance professionals looking to lead in the AI era. Based on global insights, it explores real use cases, adoption foundations, AI FP&A Trends Maturity Model, and actionable steps to move from automation to strategic impact.

This paper evaluates the transition process, and the challenges organisations may encounter when embracing the Scenario Management ecosystem, with a particular focus on the practical steps involved.

This paper explores the What, Why, and How of Intelligent Transformation, emphasising three interpersonal dimensions in the FP&A Trends Maturity Model.

Our research paper explores the combination of PA with xP&A and how organisations are using this combination to transform their planning and forecasting processes to create a more analytical and harmonised approach.

The findings from this research provide insights in explaining the Strategy-Execution Gap and, more importantly, how to close the gap using modern FP&A techniques, processes, and technology.

Research for this paper focused on delving deeper into the most mature level – Level 5, Leading State. The purpose was to provide a road map for FP&A Intelligent Transformation that guides departments in how best they can serve their organisations.

This paper, based on our interviews with 25 top FP&A practitioners and thought leaders along with case studies from the largest global network of FP&A people, captures the best practices and new ideas coming out of this fast-growing area.

This research paper supports FP&A leaders in progressively improving their FP&A maturity.

The result is this paper that covers the elements crucial for any organisation approaching AI or ML for the first time including challenges, methods and key success factors.