Invoice Processing

Automate invoice capture, validation, and approval to improve speed and accuracy

Business impact

• Invoice processing time — AI automation accelerates invoice handling from receipt to payment, reducing cycle times
• Processing accuracy — AI reduces data entry errors and improves validation for more reliable invoice data
• Operational efficiency — Automated workflows free staff from manual tasks, increasing throughput and productivity
• Cost reduction — Lower labor and error correction costs result from automated invoice processing
• Fraud detection rate — AI identifies anomalies and suspicious patterns to prevent fraudulent invoice payments

Data requirements

• Invoice documents (PDFs, scanned images, emails) (Text) — Source data for AI extraction and validation of invoice details
• Purchase orders and receipts (Structured) — Used to match and verify invoice data for accuracy and compliance
• ERP and accounting system data (Structured) — Integrates invoice data for posting, approval workflows, and payment processing
• Historical invoice processing logs (Numeric) — Train AI models to learn patterns and improve automation accuracy over time

AI methods and techniques

• Predictive AI — Used to forecast invoice approval times and detect anomalies for fraud prevention
• Generative AI — Generates data extraction templates and automates responses to supplier queries
• Agentic AI — Automates end-to-end invoice workflows with minimal human intervention

AI models and model families

GPT-4o, Claude, Llama, Custom OCR and ML models

Industries

Real-world evidence

6 documented case studies on record.

Companies using this: Accenture, Clariant AG, Cognizant Technology Solutions Gmb H, Mars Wrigley, Perk, Teladoc Health.