An in-depth look at FP&A-related topics that are developed via interviews with finance professionals. Presented as quarterly case studies with practical applications and tools to help you make informed decisions about key FP&A methods.

AFP FP&A Guide to AI-Powered Finance

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As data and technology rapidly advance, AI emerges as both a challenge and a solution.

According to the AFP FP&A Guide to AI-Powered Finance, as some companies have already adopted AI, many are still figuring out where to start. This guide is for those at the beginning, offering a simple approach to taking their first steps with AI including:


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For further research on AI in finance, check out these additional resources:

  1. Case Study: IBM’s Enterprise Transformation
  2. Case Study: Applying AI to an EPM System
  3. Use Cases for Generative AI


POSITIONING YOUR AI PROJECT

Seizing the opportunities — and mitigating the challenges — of artificial intelligence requires understanding the categories of the technology in question and the modes of AI encountered in finance, placing it in the context of the CFO’s role.


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ENTERPRISE PLANNING FOR AI

Companies can lay the foundation for success of a broad AI program by developing readiness in the key building blocks of:

  • Organizational Planning
  • Expertise and the Skills Journey
  • Data
  • Policies

PROJECT-LEVEL DECISIONS

At the tactical level, organizations will confront several common decision points and balance  their decisions against the extremes of treading too lightly or proceeding too far, too fast.  Those decisions can be summarized as Six S’s:

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Published August 20, 2024