Driving End-to-End Transformation with OCR Automation

Manual, repetitive tasks have long plagued enterprise teams, especially when it comes to processing unstructured data like invoices, claims, or scanned forms. This is where Optical Character Recognition (OCR) automation comes in. When combined with Robotic Process Automation (RPA), it becomes a powerful tool that enables seamless, intelligent workflows that extend across departments and systems.

In this blog, we explore how OCR automation enhances RPA capabilities using real-world examples from Fortude’s own automation implementations across finance and CRM functions. If you are looking to understand document-heavy processes and increase enterprise efficiency, this blog is for you.

Optical Character Recognition automation uses tools to extract data from scanned or digital documents and conversion into structured or unstructured formats. When paired with RPA bots, OCR automation enables enterprises to automate end-to-end processes that involve unstructured data sources.

Invoices, supplier POs, or customer claim forms typically arrive in non-machine-readable formats like PDFs or images. OCR automation is able to extract information in these hard-to-read formats, making the process of accessing data much more efficient.

While RPA can mimic rule-based actions across systems, it can’t independently read scanned text or handwritten content. OCR fills this gap by:

• Digitizing physical/digital documents
• Extracting key data fields (e.g., invoice number, PO number, claim category)
• Passing clean data to RPA bots for validation, entry, and processing

Fortunately, this results in end-to-end automation where human intervention is only required in exceptions.

In one implementation, Fortude helped a global enterprise automate CRM claims creation using OCR and RPA in UiPath.

Process overview:

• Customers submit claims via email or shared folders
• OCR automation extracts fields like invoice number, SKU, total amount
• RPA bots validate against SAP ECC records
• Valid claims are bulk uploaded into SAP CRM

Highlights:

• Document Understanding (DU) powered by a custom ML model
• Bulk upload via CRM templates
• Audit logs and exception emails for traceability

Impact: Reduced claim turnaround time and manual errors and increased scalability during peak volumes.