Gartner Insights Abstract

Propel AI Capabilities With the Finance AI Maturity Model

Published: 26 June 2024

Summary

Finance leaders face challenges in implementing AI responsibly while ensuring reliable, repeatable and auditable results. This research helps finance transformation leaders build a measured AI maturity model, mitigate risks and deliver value.

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Overview

Key Findings
  • Building an AI competency and extracting the full value from AI includes multiple approaches. Short-term tactical and long-term strategic approaches deliver different benefits and require varying plans of action.

  • Developing an AI-forward finance organization is not just a technical effort. The status of multiple operational aspects defines AI maturity including culture, leadership, skills, organization, software and data.

  • A one-size-fits-all approach will not work for every company. Each finance organization will require a tailored AI strategy that reflects an enterprise’s unique circumstances. The benefits of smaller solutions accumulate into larger benefits as organizational maturity evolves.

  • As AI maturity increases, new and unique

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Analysts:

Mark D. McDonald

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