Policy verification with AI-driven robotic automation

Case Study

Challenges

A premium finance and payments services company based in Kansas faced challenges with manual policy verification and sought to deploy RPA for a more efficient process. Inconsistent templates, various file types like PDF, TIFF, and JPEG, and complex file structures made manual verification time-consuming. Additionally, policies often involved multiple intertwined documents, and relevant information was buried or siloed, making it difficult to extract and find.

Our Solution

  • Eliminated manual tasks for various formats (templates, file sizes, structures) using verification bots.
  • Integrated and processed multiple intertwined documents with AI-powered RPA to extract relevant information efficiently.
  • Employed advanced text analytics and image analytics within RPA to locate key information hidden within documents with multiple file types.

Benefits

  • Handles 150,000 comparisons annually without extra staff, saving time and boosting productivity by 35%.
  • AI-powered extraction and comparison minimized errors by 99.9%, ensuring data integrity in the validation process.
  • Text and image analytics efficiently handled information capture from various file types, ensuring complete verification.

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Aaron is a channel expert passionate about Sophos’ industry-leading cybersecurity solutions. He collaborates with partners to deliver effective security strategies that safeguard businesses in today’s evolving threat landscape.