Forrester’s latest findings reveal a startling truth: the $4 billion accounts payable (AP) automation market is missing the mark. While many focus on speeding up processes, the real game-changer is agentic AI, which is transforming AP from a simple transaction handler to a strategic powerhouse. This shift is already underway, with AI taking over end-to-end AP tasks, minimizing human intervention.
What Matters Most
- Agentic AI is redefining AP from mere automation to proactive, goal-oriented management.
- Companies are leveraging AI for complete AP processes, drastically reducing human oversight.
- The focus is shifting from automation rates to confidence thresholds and auditability.
- Businesses must rethink roles, KPIs, and governance models to stay ahead.
Why This Is Showing Up Now
Forrester’s report, “Top Agentic AI Use Cases For AP Automation In 2026,” marks a turning point in AP operations. Traditional automation is hitting a wall, and the industry is pivoting to agentic AI—technology that not only automates but also makes decisions. This shift is driven by the need for greater efficiency and cost reduction as companies navigate post-pandemic challenges. The demand for smarter, adaptive systems is more pressing than ever.
The Shift in AP Functions
Historically, AP automation aimed at efficiency—speeding up invoice processing and workflows. However, this hasn’t changed the core of AP operations. Enter agentic AI: AI that autonomously executes tasks with oversight. Companies like SAP and Coupa are integrating AI for real-time supplier communications and proactive risk management.
The trade-off is clear. As AI assumes more execution responsibilities, AP teams must pivot from transaction processing to oversight and strategy. This requires new KPIs focused on AI decision confidence rather than just volume. For example, success metrics are shifting from the number of invoices processed to how effectively AI manages exceptions and escalates issues.
What the Evidence Actually Says
- Forrester’s report shows agentic AI can execute AP work with minimal human oversight, a significant shift from traditional automation (Forrester, 2026).
- Companies using AI for supplier communications report a 40% boost in response speed to routine inquiries, improving efficiency (Forrester, 2026).
- Agentic AI maturity varies, with some firms advancing to continuous monitoring and preemptive fraud intervention (Forrester, 2026).
- Firms adopting supervisory roles in AP see a 30% drop in processing errors due to AI’s better exception handling (Forrester, 2026).
- The focus on auditability over automation rates is prompting a rethink of governance models (Forrester, 2026).
Source note: These insights are from Forrester’s report on AP automation’s future. The statistics reflect trends in early adopters and are indicative, not exhaustive.
What Most People Get Wrong
The common belief is that AP automation is all about efficiency—speed and fewer manual tasks. This view overlooks the broader impact of agentic AI. While efficiency matters, the true value is in transforming AP into a strategic function that enhances business objectives with better decision-making. Companies using agentic AI find their AP teams shifting focus from mundane tasks to strategic oversight, enabling better resource allocation and stronger supplier partnerships.
Quick Checklist
- Evaluate current AP processes to identify where traditional automation falls short.
- Explore agentic AI solutions for end-to-end execution with minimal oversight.
- Define KPIs focused on confidence levels and exception handling over transaction volumes.
- Train AP staff for roles in strategic oversight and decision-making.
- Develop governance models that support AI’s role in AP.
What to Do This Week
Examine your current AP workflow. Open your AP software and pinpoint tasks requiring significant manual input. Identify at least three areas where agentic AI could improve efficiency or decision-making. Schedule a meeting with your tech team to discuss potential AI solutions and set a timeline for implementation.