Finance
Data & AI

Accelerating Invoice Processing with Gruve’s Agentic AI for Accounts Payable

Case Study Glance Shape

At a glance

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.

Challenges

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. 

Solutions

  • 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

Results and benefits

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.