AI Customer Support Agent Resolving 78% of Tickets Automatically
Built intelligent chatbot using RAG that answers 78% of support questions without human intervention.
AI Customer Support Agent Resolving 78% of Tickets Automatically
Built intelligent chatbot using RAG that answers 78% of support questions without human intervention.
Founder note: this is written to be practical. We focus on what we learned in delivery, what changed for the team, and what results held up after rollout.
The Real Problem
1. Support tickets increasing 25% monthly
2. 45% of tickets were repeated questions (FAQ material)
3. Average first-response time was 6+ hours
4. Support team burnout was high
5. Customer satisfaction declining due to slow response
What We Actually Changed
Built RAG-powered support chatbot:
- Retrieves answers from 500+ documentation pages
- Understands context and intent using GPT-4
- Escalates complex issues to human agents
- Learns from support interactions over time
- Integrates with ticketing system (Zendesk)
- Available 24/7 on website and in-app
- Provides suggested answers to support team
TOOLS AND METHODS USED
Delivery Journey
Documentation Analysis
Extracted 500+ pages of documentation into knowledge base
RAG System Setup
Built vector database, embedding pipeline
Chatbot Development
Built chatbot interface, conversation flows
What Improved
Our support team went from panicking about volume to actually enjoying their jobs. The chatbot handles the routine stuff, they focus on hard problems. Everyone wins - customers get faster answers, team is happier.
FOUNDER BRIEF
DELIVERY STACK
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