Challenge: A SaaS company was drowning in repetitive support tickets and wanted accurate self-service without hallucinated answers.
What we built: A retrieval-augmented assistant grounded in the company's docs and past tickets, with citations, confidence gating and a clean hand-off to human agents when unsure. Every answer links its sources.
Impact: Around 60% of incoming tickets were deflected with grounded answers, and first-response time on the rest dropped sharply.
Stack: Claude API, vector search, Laravel, queue-based ingestion, Blade admin console.
AI Support Desk
An LLM-powered support platform that deflects 60% of tickets with grounded, cited answers.