SANTA CLARA, Calif., Sept. 16, 2026 (GLOBE NEWSWIRE) — Auditoria.AI, the leader in agentic artificial intelligence for the Office of the CFO, today unveiled its seventh annual State of AI Automation in the Finance Office Report, revealing a finance function investing decisively in artificial intelligence (AI) while still working through the harder challenge of turning experimentation into reliable execution.
The 2026 report, The Age of Exploration, finds that 66.5% of finance organizations are increasing their investment in AI, with 24.2% now treating it as a top budget priority. Among respondents to the AI initiative success question, only 21.0% report meaningful, measurable results, while 64.8% report mixed or unsuccessful outcomes. A further 14.2% have not attempted an AI initiative.
AI is also firmly established across the finance office, but maturity remains low. Some 58.4% of finance teams remain in the exploring or piloting stages, while only 12.8% have progressed to optimizing or autonomous operations. Just 2.5% describe their finance operations as fully autonomous.
“The willingness to fund AI is clear. What is still missing is consistent proof that it can carry real finance work from start to finish,” said Rohit Gupta, CEO and Co-Founder of Auditoria.AI. “The Cash Cycle is where that gets tested. One invoice or payment can touch multiple systems, people, approvals, and exceptions before the work is complete. AI has to move through that chain, know when to act, know when to escalate, and do it within the controls finance already relies on. Until it can do that consistently and accurately, it will not deliver the operational impact the Office of the CFO expects from it.”
Finance is moving faster, but the work is still getting stuck
Finance teams are responding faster, while staffing pressure appears relatively contained. In 2026, 43.8% of shared inbox requests fall into the “within 24 hours” response band, with another 16.1% answered in under two hours. Meanwhile, 42.1% of finance teams say they are fully staffed and stable, and another 36.3% are hiring but regard their gaps as manageable, while only 9.2% report persistent hiring strain.
The follow-up burden has risen sharply. The share of finance teams spending 11 or more hours a week chasing vendors, customers, and internal stakeholders held between 17.6% and 29.7% from 2022 through 2025, then jumped to 44.5% in 2026, the largest single-year movement anywhere in this year’s study. A further 13.4% now spend more than 30 hours a week on follow-up, more than double last year’s 5.6%.
That points to a problem beyond response speed or headcount. Checking and updating data is now cited by 50.7% of respondents, followed by manual or repetitive work at 48.3% and document extraction at 46.2%.
Inaccurate or partially complete information from vendors and customers is also the biggest daily pain point at 22.1%, effectively tied with shared inbox volume at 21.7%.
Key findings from the 2026 report
- AI investment remains strong: 66.5% of finance organizations are increasing AI investment, while only 0.7% are decreasing spend.
- Measurable success remains limited: 64.8% report mixed or unsuccessful AI outcomes, while 21.0% report meaningful, measurable results.
- Pilots continue to dominate: 58.4% remain in the exploring or piloting stages, with only 12.8% optimizing or operating autonomously.
- AI is beginning to execute work: 39.9% operate with a model in which AI executes work, while 48.8% still retain human execution.
- Integration is now the leading AI barrier: 36.7% cite integration with existing systems, narrowly ahead of high initial investment costs at 36.3%. Security and privacy follow at 34.5% and finding suitable automation tools at 33.8%. Resistance to technology adoption, once the leading barrier, has fallen to seventh.
- Technology itself is the leading source of disappointment: Asked why AI initiatives fell short, 29.2% of all respondents, and 36.6% of those who reported a shortfall, say the technology did not perform as expected, followed by 21.7% citing internal buy-in or change management.
- Confidence in finance data remains high: 75.4% say their reporting is accurate enough to meaningfully improve results, although only 24.7% treat improving data quality as a critical top priority.
- Respondents largely expect AI to change rather than eliminate their roles: 60.6% expect AI to make their work more strategic or require new skills, while just 3.4% are concerned AI could reduce the need for their role entirely.
From AI assistance to Governed Autonomy
As AI becomes capable of doing more than drafting, analyzing, or recommending, the report also examines how much authority finance teams are prepared to give it.
Today, 26.3% of respondents operate with supervised autonomy, where AI handles routine work, and people review exceptions. Roughly one in seven respondents, 13.5%, describe their operating model as governed autonomy, where AI can execute work end-to-end within defined rules and compliance guardrails. By contrast, 33.1% still require a person to approve every AI-recommended action.
For Auditoria, this evolution toward Governed Autonomy represents an important next step in applying AI across the Cash Cycle.
“Finance does not need autonomy for autonomy’s sake,” said Gupta. “The goal is to give AI exactly the authority it needs to get the work done, with the policies, permissions, controls, and accountability finance already expects. That is how AI moves from being something useful beside the workflow to something trusted enough to operate within it.”
The report also finds that AI deployment is spreading across the finance office, with the average finance team now using AI across 2.43 functions, a 36% increase in deployment breadth in a single year. Invoice and document digitization, anomaly and error detection, cash flow forecasting, and compliance reporting are among the most common applications, with no single use case dominating adoption.
About the research
The 2026 State of AI Automation in the Finance Office is based on a survey conducted by Auditoria.AI in 2026. Following data validation, the study included approximately 300 respondents, including finance and accounting professionals, as well as technology and transformation roles supporting the finance function.
Download the full The Age of Exploration: State of AI Automation in the Finance Office Report 2026 report.
About Auditoria.AI
Since 2019, Auditoria has set the standard for agentic AI in enterprise finance, purpose-built for the Office of the CFO. Auditoria autonomously runs and optimizes critical AP and AR cash flow processes while preserving the accuracy, control, and auditability CFOs demand. With SmartResearch, Auditoria transforms abundant financial data and context into actionable insights, delivered instantly through a natural-language portal that gives Controllership and FP&A teams continuous cash intelligence.
Backed by deep integrations with leading ERP platforms, including Workday, Oracle, and SAP, and leveraging advanced foundational AI models from providers such as OpenAI, Google, and Anthropic, Auditoria unifies enterprise intelligence. Through these partnerships with industry leaders, we are enabling business resilience, confident capital decisions, and sustained growth amid constant change.
Operate and own the cash cycle with Auditoria.AI.
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