Finance Teams Now Spend a Quarter of Their Week Fact-Checking AI, New Datarails Survey Finds

EmitenTrust.com Study also finds that fears of AI-driven layoffs have not materialized, while vast majority of CFOs do not trust AI to produce board-ready materials

NEW YORK, Oct. 6, 2026 /PRNewswire/ -- With every CFO now using AI as standard, finance teams are spending over a quarter of their working week (26%) verifying or correcting output from AI tools, according to Datarails' 2026 CFO Sentiments Survey: How AI is Changing Finance Departments.

All of the 270 CFOs surveyed reported using AI in some capacity for finance processes – confirming universal adoption of AI in the CFO's Office. The new reality for CFOs, having adopted AI, is a "verification burden": 96% of CFOs now spend at least 10% of their work time verifying or correcting finance-specific AI outputs. A further 8% spend more than half of their work time on such checks. With AI use intensifying, AI spend challenges have emerged: almost one-third (32%) of CFOs report that their organizations exceeded their AI budgets by at least 10% in the past 12 months. At the same time, 53% of CFOs are planning to expand AI licenses across their organizations over the next 12 months.

"What this survey shows is that although AI adoption is now standard for CFOs, caution hasn't disappeared," said Didi Gurfinkel, CEO and co-founder of Datarails. "Finance teams have stopped asking 'will we use AI?' and started asking 'how am I going to most effectively check its work?'"

'Auditability' emerges as the biggest AI challenge for CFOs

Overall, lack of auditability (75%) is the biggest reason for CFOs' hesitation in  fully trusting AI tools with mission-critical finance tasks. This is closely followed by concerns about accuracy and hallucinations (71%) and regulatory or compliance concerns (54%) regarding AI outputs.

Nearly two-thirds (65%) of CFOs say their most common AI frustration is outputs giving confident answers based on the wrong data. This is followed by a situation experienced by 56% of CFOs, where team members have been given materially different outputs from an LLM, despite using the same prompt and data. The report points out that unless an LLM is restricted to governed, consolidated, contextualized data, successive responses frequently differ.

The survey finds that just 5% of finance leaders currently trust AI to produce board-ready financial reports without human review, and only 4% trust it with their month-end close.

In a parallel finding, a new technology category is emerging: 32% of finance leaders are prioritizing a "finance operating system" – a governed data layer built for AI. In terms of priorities, this new category is second only to traditional planning and FP&A tools (42%).

Fears of AI-driven layoffs unrealized

In a positive finding, 60% of CFOs say that as AI accomplishes more everyday finance tasks, they are, in fact, redeploying staff to higher-value work rather than reducing headcount. Despite fears around job losses from AI, only 3% CFOs are actively cutting FTEs in the CFO's Office due to AI.

According to Gurfinkel, "Fears of job losses have been largely allayed, but the challenge of AI output verification is critical. Tackling it will allow finance teams to spend less time doing intensive checking, and let them focus instead on the strategic work they were actually hired to do."

Only 4% of CFOs report having a 'single source of truth'

Despite decades of touted progress, only 4% of organizations have achieved a 'single source of truth' for their finance and operational data. Overall, 73% of CFOs say their data is "mostly centralized" while 23% rely on disconnected systems and manual reconciliation. Teams whose top operational challenges are manual reporting and data consolidation are also the most likely to report AI generating a confident answer based on the wrong data (86% vs. 65% of all respondents).

Meanwhile, more than three-quarters (76%) of CFOs are under high or very high pressure to fully implement AI, but only 7% say their finance function is fully ready to implement it across all workflows.

Additional findings

• Copilot frontrunner as main tool in the CFO's Office: Finance teams are running an average of 2.5 general-purpose LLMs, with Microsoft Copilot (93%), ChatGPT (65%) and Claude (64%) the most widely used – often in tandem.
• More than one in eight AI budgets have no owner: 84% of CFOs own their organizational AI budget, but 13% report no clear owner at all.
• Spending on the rise despite the trust gap: 53% of finance leaders plan to expand their AI licenses over the next 12 months; only 7% plan to cut or consolidate AI tools.

Methodology

The 2026 CFO Sentiments Survey was administered online by Global Surveyz Research, an independent global research firm, on behalf of Datarails. It surveyed 270 CFOs and finance leaders at U.S. organizations with over 1,000 employees and annual revenue of $100 million or more. Respondents were recruited through a global research panel and completed the survey in July 2026.

The full report is available at: https://www.datarails.com/research/2026-cfo-sentiments/

About Datarails
Datarails is the AI finance operating system for teams across FP&A, spend management, cash management, and month-end close. Uniting financial and operational data, FinanceOS is the trusted data layer for finance teams ensuring every AI output is accurate, governed, repeatable and auditable. It lets users stay within Excel and a web-based platform, transforming the CFO's office into the home of business insights.

Media Contact
datarails@concrete.media 

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SOURCE Datarails