Claims, invoices, and forms: Scaling high-volume IDP

Claims, invoices, and forms sit at the heart of many enterprise operations. They arrive in massive volumes, vary widely in format and quality, and often require fast, accurate processing to keep businesses running smoothly. As volumes grow and expectations rise, scaling Intelligent Document Processing (IDP) for these document types has become a critical challenge – and opportunity.

The High-Volume Reality

High-volume documents are deceptively complex. While they may appear standardized, real-world versions differ by vendor, region, customer, and channel. Poor scan quality, handwritten fields, and inconsistent layouts introduce friction that traditional, rule-based IDP systems struggle to handle at scale. When processing slows or accuracy drops, the impact is immediate: delayed payments, unhappy customers, operational backlogs, and increased costs.

Why Traditional IDP Falls Short

Legacy IDP approaches rely heavily on templates and predefined rules. These methods require constant maintenance and retraining as formats change, making them costly and brittle in high-volume environments. As document volumes increase, so does manual exception handling – eroding the efficiency gains automation was meant to deliver.

Generative AI Changes the Equation

Generative AI – powered Base64 enables systems to understand document content more flexibly, adapting to variation without constant reconfiguration. Instead of treating each document as a rigid form, Base64 AI can interpret context and meaning across claims, invoices, and forms. This allows organizations to:

  • Process diverse formats with greater consistency

  • Reduce manual review and exception rates

  • Scale automation without linear increases in effort

Confidence-Driven Automation at Scale

Scaling high-volume IDP isn’t just about speed – it’s about trust. Base64 uses confidence scoring and RAG (Retrieval Augmented Generation) validation to determine which documents can be fully automated and which require human review. This approach ensures accuracy and compliance while maximizing throughput, especially in regulated industries like insurance, finance, and healthcare.

Operational Impact

When done right, scalable IDP delivers measurable business value:

  • Faster claims resolution and reimbursements

  • Shorter invoice processing cycles and improved cash flow

  • More efficient form intake and data validation

  • Lower operational costs and reduced backlogs

Final Thoughts

Claims, invoices, and forms may be high-volume – but they are also mission-critical. With flexible, intelligent automation, Base64 can scale document processing with confidence, maintaining speed, accuracy, and control as volumes grow. In high-throughput environments, true scale isn’t driven by volume alone – it’s enabled by intelligence.