A large enterprise wanted to provide an AI assistant for internal knowledge but had strict requirements around accuracy, policy compliance, and access control. Previous attempts had failed due to hallucinations and security concerns.
Approach
1
Designed chunking strategy optimized for the document types
2
Built retrieval pipeline with access-aware indexing
3
Implemented evaluation harness for answer quality
4
Added guardrails for policy enforcement and PII handling
5
Created monitoring for retrieval quality and user satisfaction
6
Established feedback loops for continuous improvement
Results
Support ticket resolution time reduced by 40%
Answer accuracy measured at 94% via eval harness
Zero policy violations since launch
Clear audit trail for all AI-generated responses
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