Report for financial leaders to build a measured AI maturity model, mitigate risks and deliver value.
According to a recent Gartner survey, nearly 80% of financial organizations are investing in AI technologies, yet only 25% report having a mature AI strategy in place. This discrepancy highlights the critical need for finance leaders to evaluate their organization’s AI maturity and develop a strategic roadmap for advancement.
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.
Therefore, to help finance transformation leaders understand the potential of AI and its numerous possibilities, Gartner compiled AI use cases in finance through a series of interviews and questionnaires taken by finance leaders (see below image)
As AI maturity increases, new and unique risks emerge, which can derail further progress without preemptive or corrective actions. This is where Gartner’s Five-Phase Finance AI Maturity Model serves as a vital tool for financial leaders, offering a structured framework to assess and enhance an organization’s AI capabilities, addressing both the promise and the challenges associated with AI adoption in finance.
By investing in chaos engineering practices, organizations can ensure their software is more resilient, allowing customers to enjoy uninterrupted services and fostering business growth. Here are some key advantages of a well-managed chaos engineering practice:
Download this research report to get detailed understanding of how financial leaders can assess their organization’s level of AI maturity based on capabilities that AI delivers across the five phases of maturity and align the roadmap and actions accordingly to increase to the next level. To help build a successful AI strategy that delivers increasing returns over time, this report shares valuable insights on:
How to develop a five-phase, dual-path approach to building AI maturity model that ensures long-term and strategic success.
How to Assess AI maturity across multiple operational aspects of finance.
How to tailor an AI roadmap to include aspects from the AI maturity framework that align to organizational objectives to increase AI maturity and value.
DISCLAIMER: GARTNER® is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. | REPORT CITATION: Gartner, Propel AI Capabilities with the Finance AI Maturity Model, Mark D. McDonald, Published 26 June 2024.