Finance Teams Are Using AI More Than You Think
Two-thirds of finance teams are already using or piloting artificial intelligence, according to a 2026 survey of 500 finance professionals. Yet most people outside finance departments significantly underestimate how much AI is actually in use. About one-third of respondents said their teams use AI more than outsiders realize.
The reason for the gap is simple: AI in finance often works invisibly. It runs behind invoice processing systems, surfaces payment anomalies, and powers the analytics tools that produce weekly leadership reports. It doesn't announce itself, but it's there.
Where AI Is Deployed Today
Reporting and analytics lead the way, with 43% of finance teams using AI in this area. The reason is straightforward. Reporting is high-volume and high-frequency work where AI generates outputs quickly and results are easy to validate. Finance professionals get immediate feedback on whether the tool works, making it a natural entry point for teams still building confidence with the technology.
Forecasting and financial planning come next at 27%, followed by accounts payable and receivable at 18%. Expense management also sits at 18%, with vendor and invoice management at 14%.
In accounts payable, AI automates the entire invoice lifecycle from capture and data extraction through approvals and fraud detection. Teams catch errors before they clear, reducing manual processing time, lowering costs, and freeing up staff for strategic work.
Confidence Is Growing Fast
More than half of finance professionals (53%) said they're more confident using AI than a year ago. Only 7% feel less confident.
The dominant mindset is "curious but cautious," cited by 42% of respondents. Another 26% describe themselves as excited and confident. This balance-growing confidence paired with disciplined optimism-is exactly right for a function managing financial controls and fiduciary responsibility.
Confidence has a compounding effect. As finance professionals become more fluent with AI in lower-stakes applications like reporting, they build the literacy and trust in outputs needed to extend AI into more complex workflows.
The Biggest Opportunity Being Missed
Only 19% of finance teams use AI for audit, risk, compliance, or fraud detection. This represents a critical gap.
Payment fraud attempts hit the vast majority of organizations annually and grow more sophisticated as fraudsters use AI themselves. AI can handle pattern-recognition at scale that humans cannot match. It can screen every invoice for document manipulation, flag unusual vendor behavior, catch duplicate payments, and identify out-of-policy transactions before approval.
The same applies to compliance and audit preparation. AI integrated into financial workflows maintains a continuous, real-time audit trail. It highlights exceptions, documents approvals, and flags anomalies as they happen rather than weeks later during review cycles.
Finance Leaders Need to Take Charge
Here's the problem: only 13% of respondents point to the CFO or VP of finance as the primary driver of AI adoption. Twenty-four percent say IT or technology teams are leading. Another 22% say no one in particular is driving the effort.
This explains why many organizations are stuck in the middle. AI exists but isn't fully operational. It's active in some areas but not embedded across workflows that matter most. Without finance leadership visibly owning the AI agenda, teams have access to capabilities that aren't integrated into actual work and lack the training and governance to scale them.
Finance leaders who step into this void will find the conditions for rapid progress already exist inside their organizations. The curiosity is there. The confidence is building. What's missing is direction and ownership.
For finance professionals looking to build expertise in this area, consider exploring AI for Finance resources, or if you're in a leadership role, the AI Learning Path for CFOs offers structured guidance on driving AI strategy within finance functions.
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