AP Performance Dashboard

Last updated: June 7, 2026

The AP Performance Dashboard gives AP managers and finance leaders a live view of how your invoice operation is actually running — not just that invoices were processed, but how: automatically or manually, fast or slow, clean or exception-heavy.

What it's for

Most AP metrics are buried in ERP reports or surfaced through one-off exports. The AP Performance Dashboard brings the most important operational signals into one place, measured within OpenEnvoy's workflow — so you can track performance, spot bottlenecks, and understand financial outcomes without leaving the tool doing the work.

It's most useful for AP managers who need a regular read on system and team performance, finance leaders tracking automation ROI and DPO trends over time, and operations teams figuring out which vendors or business units are creating the most process friction.

What it measures

Automation performance. What percentage of your invoice volume flows through without human intervention? The dashboard tracks touchless processing (zero human touch, end-to-end), broader automation rates, and approval-ready automation — invoices the system fully prepped for an approver with no AP involvement. Seeing these together tells you whether your automation ceiling is a system limitation or a policy one.

Speed and cycle time. How long does it take an invoice to go from receipt to ERP sync? Cycle time is measured in business hours across your full volume, and broken out for touchless invoices separately — so you can see what's possible when exceptions don't enter the picture.

Financial outcomes. Are you paying on time? Are early payment discounts being captured before the window closes? The dashboard surfaces DPO alongside discount capture rates, connecting your AP process to its downstream financial impact.

Exception and aging patterns. Where are invoices getting stuck, and for how long? Exception rates are broken down by type and aging, with vendor and operating unit breakdowns that surface where the same issues are repeating — and response time by user to show how quickly the team acts when items hit their queue.