Invoice Processing

Automate invoice capture, validation, and payment to improve efficiency 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 against purchase orders
• Operational efficiency — Automated workflows increase throughput and reduce manual intervention
• Cost reduction — Lower labor and error correction costs through automation
• Fraud detection rate — AI identifies anomalies and potential fraud in invoice data
• Employee productivity — Staff focus on strategic tasks instead of manual data entry
• Touchless processing rate — Higher percentage of invoices processed without human intervention

Data requirements

• Invoices in PDF, paper, email, e-invoice formats (Text) — Source documents for data extraction and processing
• Purchase orders and receipts from ERP systems (Structured) — Used for matching and validation of invoice data
• Historical invoice and payment data (Structured) — Supports AI learning for coding and anomaly detection
• Supplier master data (Structured) — Used for validation and fraud detection
• User interaction logs and approval workflows (Structured) — Used to optimize routing and exception handling

AI methods and techniques

• Predictive AI — Predicts invoice coding and approval routing to reduce manual work
• Generative AI — Generates data extraction templates and handles unstructured invoice formats
• Agentic AI — Automates end-to-end invoice workflows and exception management

AI models and model families

GPT-4o, Claude, OpenAI GPT, Custom ML models for invoice data extraction

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.