Customer-service staff were handling thousands of tenant calls each week and needed reliable answers quickly. Searching internal knowledge manually slowed calls and made consistency harder to maintain.

A RAG-based AI knowledge assistant uses semantic search, LLMs, source citations, call transcription, categorization, and workflow automation. Agents ask questions in natural language, receive answers grounded in approved knowledge-base articles, and can verify the source before responding to tenants.

• Minutes → secondsTime to find support knowledge
• Agents get answers grounded in approved source articles
• Faster handling of high-volume tenant calls
• Call transcription and categorization added for insight generation

Mid-Market example · The problem & approach apply across business sizes; outcomes vary by process volume, complexity & scope