A team of engineers was losing 2–3 hours every shift searching dense, multilingual technical documentation — specifications, maintenance manuals, compliance records. Search was keyword-only, and mixed-language content meant critical information was routinely missed or mis-retrieved.
Built a RAG platform on top of the team's existing document store, adding OCR for scanned files, multilingual embeddings (multilingual-e5) for cross-language retrieval, and an agentic query layer that could break down complex questions and assemble multi-document answers. Token-aware chunking kept context accurate at inference time. The Knowledge Layer of The Governed AI Stack handled permission-aware retrieval so each team member only surfaced documents relevant to their role.
Document review time cut from 3 days to under 1 hour. The team reclaimed roughly 12 hours of engineering time per week — redirected to problem-solving rather than search.