See Where Finance AI Stands Today
AI adoption has moved beyond discussion. Forty-three percent of organizations are running pilot programs, and another 43 percent have reached limited production deployment. But broad adoption remains uncommon, and finance leaders continue to verify AI-generated recommendations before acting on them.
The report examines the practical middle ground emerging in AP and finance: AI performs more of the routine work and analysis, while people retain authority over decisions involving invoices, payments, fraud, and cash.
Download the Report to Learn
- Why employee productivity has become the leading objective for finance AI
- Where organizations are seeing measurable productivity improvements
- Why fraud prevention and payment automation leads planned AI investment
- Which AI capabilities AP and finance leaders believe will create the most value
The Findings at-a-Glance
86% have moved into pilots or limited production
Finance AI is active, but most deployments remain narrow in scope.
72% report productivity improvements of 11% to 25%
Organizations are realizing measurable gains, even before AI becomes deeply embedded in core processes.
61% identify fraud detection as a high-value capability
Payment optimization, predictive forecasting, and automated exception handling also rank among the leading opportunities.
65% cite data quality as a barrier
Difficulty proving ROI, security and compliance concerns, and system integration are also limiting broader adoption.
75% want human approval for fraud investigations
Invoice and payment approvals also remain firmly under human control.
Industry Priorities Are Not All the Same
The report examines how AI priorities differ across four industries:
- Property management: Productivity, fraud detection, and stronger control across properties and entities
- Media and advertising: Automated exception handling, fraud detection, and better reporting
- Golf and country clubs: Predictive forecasting, financial planning, and visibility into cash requirements
- Hospitality: Fraud prevention, payment automation, and vendor management across multiple properties
See how the operating realities of each industry influence where AI can create value first.
Find the Right Starting Point for AI in AP
Download AI in AP and Finance: From Interest to Impact to see what finance leaders are doing today and how your organization can move from experimentation to controlled execution.
