Understanding AP Process Inefficiencies in Finance Teams
Accounts payable (AP) process inefficiencies continue to slow down finance operations.
Many AP teams still rely on manual invoice processing and disconnected systems. This creates delays, increases workload, and reduces visibility across the finance function.
Recent IFOL research highlights the scale of the challenge:
- 63 percent of finance teams spend more than 10 hours per week on invoice processing
- 66 percent still manually enter invoice data into ERP systems
- Only 29 percent are currently using AI in accounts payable
These findings show a clear gap between adoption and impact. While AI and automation are increasing, AP process inefficiencies remain across the workflow.
To explore this further, we have created a new white paper in partnership with Ramp.
What’s Covered
This guide helps finance and AP leaders understand where inefficiencies exist and how AI is being used to improve performance.
You will learn:
- Where accounts payable processes slow down
- The key drivers of AP process inefficiencies
- How AI is improving invoice processing and data accuracy
- The role of AI in approvals and decision-making
- How organizations reduce manual effort in AP workflows
- What high-performing AP teams are doing differently
Why Download It
If your AP team still deals with manual invoice entry, approval delays, or limited visibility, this report will help you understand where improvements can be made.
It explains how AI can reduce inefficiencies and improve invoice processing efficiency across the full workflow.
The insights are practical, clear, and focused on real finance team challenges.
Get your copy today and discover how to reduce AP bottlenecks using AI.
