Leading Insurance Provider
Automated document management
Problem
The client struggled with managing a high volume of internal company forms manually, and their existing RPA systems were unable to handle unstructured data or complex document layouts effectively.
Solution
An advanced AI solution was implemented, featuring custom-trained Azure Form Recognizer models to accurately extract data from various document types, complemented by an NLP-based model for form classification.
Outcome
The automated system significantly reduced processing time and virtually eliminated errors, enhancing both efficiency and accuracy. Its ability to adapt seamlessly to new forms ensured sustained operational excellence.



Streamlining Document Processing with AI
The client’s manual handling of a high volume of internal forms, such as ACRA, MAS, Reinstatement, and Termination, was streamlined by implementing an AI-driven solution. Custom-trained Azure Form Recognizer models were developed to extract data from various document types via API calls. The solution included an NLP-based form classification system and multiple validation and formatting checks to ensure data accuracy before integration into the workflow. The extracted and verified data was seamlessly fed into the existing RPA system, overcoming its limitations in handling unstructured data and complex document layouts.



The automated system drastically reduced processing time and minimized errors, significantly improving efficiency and accuracy. By enabling the team to process more documents without additional resources, the solution optimized resource allocation and boosted overall productivity. Its scalability ensures adaptability to new form types, sustaining operational efficiency. Full integration with the RPA system created a fully automated document-handling workflow, further enhancing efficiency and effectively addressing RPA limitations through AI.
Effortless Forms, Limitless Efficiency
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