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The AP project focused on streamlining invoice processing by deploying an agentic AI that could handle invoice ingestion, classification, approval routing, and anomaly detection. The initiative aimed to reduce cycle times, cut costs, and improve overall compliance while giving the finance team better visibility and control.
The client’s AP team faced significant inefficiencies caused by manual invoice entry, re-keying across multiple systems, and long approval cycles. These delays not only slowed down vendor payments but also increased the risk of duplicate or erroneous payments. Three-way matching processes were often held up due to process gaps, further complicating cash flow and vendor relationships.
Autonomous invoice ingestion, classification, and 3-way matching
Policy-aware approval routing
Touchless processing for most invoices
AI-driven exception triage with recommended actions
Real-time anomaly detection for fraud/duplicates
Supplier self-service for invoice inquiries
With the AI system in place, invoice cycle time was cut by approximately 70%, shrinking from around 15 days to just 4. Between 60–80% of invoices could be processed without human intervention, lowering the cost per invoice by roughly 70% to as little as $2–$3. Exceptions dropped by half, and duplicate payments were virtually eliminated, with nearly 95% caught before execution.
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