24/7 Service, Zero Wait: 70% Ticket Deflection
How a service desk used AI Agents to handle repetitive queries instantly, freeing human agents for complex issues.
Issue Resolved
Response time: 0.8 seconds
The Context & The Pain
A rapidly growing SaaS company was overwhelmed by 3,000+ support tickets/month. The support team was burnt out answering the same "How do I reset my password?" questions.
- Wait times exceeded 24 hours.
- Support costs were scaling linearly with user growth (unsustainable).
- VIP customers complained about slow service.
"We were acting like robots, copy-pasting answers all day. No one had time to actually help customers with real problems."
— Head of Support
The Solution: NODYT SCALE Framework
We implemented an intelligent Support Agent using RAG (Retrieval Augmented Generation) to answer contextually.
SCAN
Ticket Analysis
Analyzed 6 months of tickets. Found that 65% of queries were repetitive "Type A" questions solvable by documentation.
CREATE
Knowledge Base Training
Built a vector database from help docs, Slack history, and past tickets. Trained the AI to speak in the brand's tone.
ACTIVATE
Internal Pilot
Released the "Agent Assistant" internally first. Support staff used it to draft replies 5x faster. Validated accuracy.
LAUNCH
Customer Facing Chat
Deployed the widget live. It now handles Tier 1 queries autonomously. Escalates to humans only when sentiment turns negative.
EXPAND
Voice Integration
Currently adding Voice AI to handle phone support calls with the same knowledge base.
The Architecture
The Results
70% of tickets resolved without human intervention.
CSAT Score rose to 4.9/5. Customers love the instant answers.
Reduced from ~$12/ticket to $0.20/conversation.
True 24/7 service. No more "We'll get back to you on Monday".