Client
NovaTech Solutions
Industry
SaaS
Tech Stack
OpenAI GPT-4LangChainNext.jsNode.jsPineconeRedis
The Challenge
What We Were Up Against
NovaTech's support team was drowning in 12,000+ monthly tickets. Average response time had crept to 48 hours, CSAT was declining, and hiring more agents wasn't sustainable at their growth rate.
Our Solution
How We Solved It
We architected a multi-agent AI system using GPT-4 with a custom knowledge base trained on 3 years of support transcripts. The system classifies, resolves, and — when needed — intelligently escalates to human agents with full context.
01
Audit & Data Mining
Analysed 50,000 historical tickets to identify the 200 most common query patterns.
02
Knowledge Base Build
Structured product docs, FAQs, and resolution playbooks into a retrieval-augmented knowledge graph.
03
Agent Architecture
Built a LangChain orchestrator with specialist sub-agents for billing, technical, and onboarding queries.
04
Escalation Logic
Designed confidence-threshold routing so low-certainty queries always reach humans with full prior context.
05
Continuous Learning
Weekly fine-tuning loop using resolved tickets and agent feedback to improve accuracy over time.
The Impact
Measurable Results
80% of tickets resolved without human touch
Response time dropped from 48 hours to under 90 seconds
CSAT remained at 98% throughout rollout
Support team reallocated to complex strategic work
62% reduction in cost-per-ticket within 60 days
"TechGeneses didn't just automate support — they transformed how we think about customer success. Our team now focuses on relationships, not repetitive queries."
Jordan Miller
VP of Customer Success, NovaTech Solutions
Key Outcomes
Queries automated80%
CSAT maintained98%
Support capacity4×
Cost per ticket−62%
