The role of Financial Planning and Analysis (FP&A) leaders has evolved, and they must adapt to lead their teams effectively in the age of AI. The author of the article outlines what FP&A professionals should do to drive organisational success with the help of Artificial Intelligence.

In this article, the author explains why AI/ML is not magic, even though some might think so. The interaction between the FP&A professionals and the AI/ML toolbox defines the success of the outcome. He also considers why FP&A professionals struggle with AI/ML.

In this article, the author describes how the pandemic taught us to adapt and to react ‘on the fly’. The COVID pandemic was speeding up the adoption of digital technologies and was strongly transforming businesses in all industries, setting the trends for the future. The author outlines three phases of the pandemic and key lessons learned.

This article highlights the case study discussed at the AI/ML FP&A Committee Meeting #18. We invited Scott Campbell, Head of Center of Excellence - Finance & FP&A, to be a speaker, and he shared a robust case study from Philips on Digital Finance.

The implementation of AI capabilities in FP&A can be a complex and challenging process. From the author's experience, there are some key aspects to consider when implementing AI capabilities in FP&A to increase your chances of success.

There are many software products that claim to support CPM, but often they only support some aspects, for example financial planning and reporting. One of the issues is that the term CPM is synonymous with budgeting, forecasting and management reporting which by itself cannot provide a complete solution.