Accounts payable is entering a new era. After years of focusing on digitization and process automation, organizations are now applying artificial intelligence to improve decision-making, accelerate workflows, and transform AP into a more intelligent, data-driven business function.
This article series is based on the findings from State of AP 2026: AI Rising, a new research report sponsored by Medius and xSuite. Drawing on the perspectives of 194 accounts payable, P2P, and finance leaders, the research explores how organizations are adopting AI, where they are realizing the greatest value, the operational challenges they continue to face, and the capabilities that distinguish top-performing AP organizations.
Throughout this series, we’ll examine the report’s most important findings, including the current state of AP, emerging AI use cases, automation trends, AI readiness and maturity, and the strategies leading organizations are using to prepare for more autonomous finance operations. Whether your organization is beginning its AI journey or expanding existing initiatives, these articles will provide research-backed insights to help guide the next phase of AP transformation.
In Part Nine of our series, we look at how AI adoption in AP is taking hold most strongly in structured, high-volume processes, while complex areas such as exception management, early payment discounts, and cash management remain largely underdeveloped. The next wave of opportunity will come from applying AI to more judgment-intensive processes, but organizations must first build the data, integration, and confidence needed to scale these capabilities.
AI by AP Function: The Deployment Reality Today
Looking at AI deployment by AP function reveals something the use case data alone does not show: where adoption is genuinely taking hold, and where the most consequential gaps remain.
Invoice processing shows the broadest partial deployment at 46%, reflecting a market that is augmenting existing workflows rather than replacing exception management. 75% of organizations report no AI usage in this area. That number sits alongside AP’s own data showing slow approvals and high exception rates as the top operational challenges facing the function in 2026. The gap between where the problem is and where AI is being deployed is not a technology problem. Exception management is complex, judgment-intensive work, and most organizations are rightly deploying AI in structured, rules-based processes first. But the opportunity cost of leaving exceptions largely manual is real and growing. As AI capabilities mature and organizational confidence builds, exception management is the area with the clearest case for the next wave of investment.
Further along the maturity curve, early payment discount capture and cash management show limited AI adoption today. Both are closely tied to working capital performance and broader finance objectives. Both require more sophisticated data integration and decision-making than most organizations currently have in place. And both are increasingly identified by AP leaders as logical candidates for future AI investment, once the foundational work is complete.
The deployment picture across AP functions tells a consistent story. The function has made real progress automating structured, high-volume work. The next chapter of AI adoption lies in the complex, judgment- oriented processes that have historically depended on human intervention. That transition is not yet underway at scale. The organizations that begin preparing for it now will be the ones best positioned when it is.
Access this exclusive research today by downloading the State of AP 2026: AI Rising report now.
