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Technology / SaaS 62 days

3x Support Resolution with RAG-Powered AI Agent

3x

Ticket Resolution Rate

The Challenge

The startup was scaling rapidly but their 8-person support team couldn't keep up with ticket volume. Average response time was 4.2 hours, and tier-1 tickets were consuming 70% of engineering bandwidth through escalations that didn't require engineering knowledge.

Our Approach

1

Ingested 12,000+ historical support tickets and the entire knowledge base into a vector database

2

Built a local RAG agent with strict guardrails to prevent hallucination — every response cites source documentation

3

Implemented a confidence scoring system: high-confidence answers go directly to customers, low-confidence routes to humans

4

Created an admin dashboard for the support lead to review, approve, and train the agent over time

Results

3x increase

Resolution Rate

< 30 seconds

Avg Response Time

Down 68%

Escalation Rate

94%

CSAT Score

Tech Stack

PythonLangChainPineconeNext.jsSupabaseAnthropic Claude

Their AI agent resolved 3x more support tickets than our previous system. Our clients don't even know they're talking to an AI.

Marcus Williams

VP Engineering, ScaleStack