CFOs Struggle to Quantify AI ROI Despite Rapid Adoption, Protiviti Finds
Finance executives are using AI to synchronize business priorities but lack the metrics to prove its financial value, a new report reveals.
Chief financial officers are increasingly integrating artificial intelligence to align finance functions with overarching enterprise priorities, yet they are struggling to measure the actual financial returns of these investments. According to a new Global Finance Trends Survey from Protiviti, this gap between adoption and quantification creates a strategic tension for the modern finance office.
The 2026 "Synchronize" report, which surveyed 902 finance executives, found that CFOs are leveraging AI to achieve better "synchronization" between finance operations and broader corporate goals. However, the data indicates a critical friction point: organizations are adopting AI technologies faster than they can develop the frameworks to measure their success. Specifically, the report notes that measuring the return on investment (ROI) for AI-specific initiatives is significantly more challenging than tracking the returns of broader digital transformation projects.
The Shift Toward Strategic Synchronization
This trend comes as the finance function undergoes a fundamental digital transformation. Historically, AI in finance was viewed primarily as a tool for simple automation—reducing manual data entry or speeding up reconciliation. Now, the objective has shifted toward strategic synchronization, where AI is expected to provide the real-time visibility and predictive capabilities necessary to align financial planning with volatile market conditions and shifting enterprise priorities.
The Risk of Stalled Investment
The inability to quantify AI's impact poses a systemic risk to the continued modernization of the finance department. In a corporate environment where every expenditure must be justified by a clear ROI, the lack of concrete metrics could lead to a cooling of investment. If CFOs cannot demonstrate how AI specifically drives value or reduces cost, the momentum behind these technologies may stall, potentially leaving finance departments unable to provide the strategic insights required to navigate economic instability.
Future Outlook
As the industry moves forward, the focus is expected to shift from the mere deployment of AI tools to the creation of sophisticated performance metrics. The primary challenge remaining for finance leaders is the development of a standardized approach to AI accounting that can isolate the gains provided by artificial intelligence from general operational improvements. Until these measurement gaps are closed, the full strategic potential of AI in the finance office remains an unproven hypothesis.