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AI Operations Case Study

Cognitive Insights System

Harnessing private LLMs to automate health-analytics queries at enterprise scale.

99.4%

Categorization Accuracy

10x

Support Throughput

< 150ms

Semantic Query Sync

Challenge

Cognitive Health operated an extensive administrative desk translating unstructured medical inquiries into routing tickets manually. This led to high wait times and translation drift, limiting the throughput of patient-partner communication lines. They needed an automated model pipeline that respected strict privacy guidelines (HIPAA).

Solution Details

SK Organisation built a secure system pipeline utilizing private, fine-tuned LLaMA-based LLM clusters. We implemented a vector embedding repository (using pgvector) to index local schemas and context documentation locally.

The pipeline automatically filters medical data to scrub personal health information (PHI) before executing local semantic searches, ensuring complete regulatory safety and compliance.

Business Impact

Since launching the Cognitive Insights Engine, ticket processing velocity increased by 900%, freeing support personnel to handle critical clinical needs directly.