The Challenge
A fast-growing SaaS company with 2,000+ customers was handling 300+ support tickets per week with a 3-person support team. Average response time was 4 hours, and 40% of tickets were repetitive questions already answered in their documentation.
Our Solution
We built a RAG-powered AI chatbot trained on their entire knowledge base, help documentation, and historical support conversations. The system:
1. Ingests their Notion docs, help centre, and product changelog using a custom data pipeline
2. Uses Pinecone vector storage for semantic search across 1,200+ documentation pages
3. Delivers accurate, context-aware answers with source citations
4. Recognises when a query is complex or frustrated and escalates to a human agent in Intercom
5. Continuously improves by learning from human agent corrections
6. Provides weekly analytics on top questions, resolution rates, and escalation patterns
The Results
- 85% of support tickets resolved without human involvement
- Average response time dropped from 4 hours to under 2 seconds
- CSAT score increased from 3.8 to 4.6 out of 5
- Support team reduced from 3 FTE to 1 FTE for tier-1 support
- Cost per ticket reduced by 78%
"The chatbot resolves 85% of our support tickets without a human touching them. Customer satisfaction scores actually went up because response times went from hours to seconds. I wish we'd done this two years ago."
— Daniel P., Customer Success Lead — SaaSify