BlogMarch 1, 2026Building an Agentic RPA Pipeline for Utility Invoice Processing
Utility invoice workflows are often manual, repetitive, and error-prone. The goal of this approach is to reduce processing time while improving data quality and traceability.
- OCR and computer vision preprocessing for invoice images and PDFs.
- LLM-powered extraction into structured JSON.
- Validation rules for vendor fields, totals, and required metadata.
- Agentic orchestration for retries, exception handling, and routing.
The pipeline ingests documents, normalizes them, extracts key fields, validates the output, and then forwards accepted payloads to downstream business systems. Failed records are automatically routed to a human-in-the-loop queue.
This pattern improved throughput, reduced manual handling, and created a reliable audit trail for invoice processing operations.
