The problem
Engineers were losing time searching through websites, databases, project files, and technical documents to find reliable information. Important knowledge existed, but access was slow and fragmented.
The solution
A RAG-based AI knowledge agent uses semantic search, LLMs, source citations, approved data connectors, and expert escalation workflows. It searches trusted technical sources, generates grounded answers with citations, and routes uncertain or high-risk questions to experts for validation.
Key results
- Hours → immediateTime to access answers
- Direct citations to source documents
- Escalation path for expert review
- Improved access to technical knowledge
Benchmarks are based on the original deployment; outcomes vary by process volume, complexity, and implementation scope. Similar workflow patterns can apply to businesses of different sizes.