AI QA Framework
Defined requirements, validation criteria, and operating quality systems for AI services.
Reference
Project references by quality capability
Explore selected work across AI service validation, quality automation, process consulting, and education enablement.
Overview
Proof organized by capability, not only by client name
Public references are presented by delivery capability and business context.Customer logos or quantified outcomes should be added only after separate approval.
Representative Cases
Examples of delivered work
AICC Test Automation
Applied scenario execution, response judgment, and regression automation for customer-center AI services.
Closed-Network RAG
Designed document preprocessing, retrieval structure, and team-scale operation for secure research environments.
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