CFOs need realistic AI time-to-value expectations: Gartner
Dive Brief:
Finance departments must establish grounded expectations regarding the time-to-value for artificial transition from pilot programs to wider implementation, CFOs must manage their AI projects as a cohesive portfolio. This involves setting precise expectations for the speed at which various projects should yield results, terminating underperforming initiatives, and reallocating re
“The goal is not to stifle experimentation, but to know where to invest, when to cut underperforming initiatives, and which foundational capabilities to accelerate — especially as AI technology becomes more user-friendly and barriers to experimentation diminish,” the report said.
For standard finance tasks—such as report generation, accounts payable and receivable automation, and data extraction—Gartner discovered that firms generally realize their anticipated value within a nine-to-10-month window.
More sophisticated applications, including scenario planning, forecasting, insight generation, and data <a If you are investing in an AI tool for data extraction, for accounts payable process automation, or report creation, if you're not seeing value within the first nine months, 10 months of deployment, then you need to go and actually take a hard look at that investment," he said.
