Solution partner
Brillio powers 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 1 country. Documented deployments include AI agents, RAG.
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Hyperscaler mix
Filter Brillio's implementations by cloud provider evidence.
Build / Buy / Compose across this partner's documented cases
1 of 2 cases classified (50%) · Compare all use-case types
Evidence persistence
1 of 1 judgeable case is still publicly referenced.
Durability of public evidence, not whether systems remain in production. How this is measured →
Brillio built an AWS-based claims workflow for a large national insurer to automate claim intake, document extraction, image-based damage assessment, policy validation, and guided settlement recommendations.The solution normalizes unstructured submissions into structured records, scores confidence, routes exceptions to adjusters, and stores artifacts for auditability.
Brillio developed an Intelligent Agent Assist solution for insurance service providers using Azure OpenAI and Azure Cognitive Search. The solution tackles the issue of long call handling times, post-call manual tasks, high operational costs, and limited multilingual support for insurance contact centers. By leveraging GPT models integrated with vector search and NER-based PII data masking, the system offers real-time agent assistance, access to information, call summarization, and automated email drafting. Enhanced data privacy and security are built into the solution, and human feedback is incorporated for ongoing improvement. The results are increased agent productivity, improved customer loyalty, and scalable 24/7 support without proportional hiring. The implementation leads to measurable reductions in fraud and operational costs while delivering higher CSAT scores.