Claims processors relied on lengthy SOP documents to determine the correct course of action, resulting in inconsistent decisions, slower turnaround times, and increased operational complexity. Business users also struggled to interpret complex policy logic without technical support. The client aimed to:
EX Squared transformed complex SOP documents into structured, searchable knowledge using Retrieval-Augmented Generation (RAG). The solution dynamically generated decision trees that guided users through every stage of the claims process.
At each decision point, users could ask context-aware questions and receive accurate, source-backed responses based on the relevant SOP content. This intelligent workflow simplified policy interpretation, standardized decision-making, and made complex claims processes easier for business teams to navigate.
With AI-guided decision support in place, claims teams processed cases faster and more consistently while reducing manual effort.
Faster and more consistent claims processing.
Reduced manual errors and improved compliance.
Standardized decision-making across teams.
Simplified interpretation of complex SOPs for business users.
Increased operational efficiency through AI-guided workflows.
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