AI & ML
Internal Knowledge AI Assistant
Answered 70% of internal queries without human help
HealthcareLangChainClaude APIPineconeNext.jsVercel
MedSupply Co
70%
Queries self-served
8s
Avg. answer time
14k
Documents indexed
92%
Answer accuracy
Client Overview
MedSupply Co's operations team wasted hours searching policy and product documents scattered across systems.
The Challenge
Critical answers were buried in thousands of PDFs and wiki pages, so staff defaulted to asking colleagues, creating delays and inconsistency.
Our Solution
We built a RAG assistant grounded in their document corpus with citations, access controls, and guardrails. Staff now get sourced answers instantly.
Results
70%
Queries self-served
8s
Avg. answer time
14k
Documents indexed
92%
Answer accuracy
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