Customer support · Production
NRVTA Automates Student Inquiries With Lyro AI, Achieving 94% Resolution
The problem
NRVTA needed an efficient way to handle student inquiries across multiple channels while allowing advisors to focus on high-value conversations requiring personalized attention and expertise.
Workflow diagram · grounded in source
1
Student inquiry via live chat
trigger
“Support Channel: Live chat for prospective and current students”
2
AI knowledge base lookup
ai_action
“feeding the AI with comprehensive website content to create an accurate knowledge base that could answer common questions about their RV technician training programs”
3
Autonomous AI resolution
ai_action
“Lyro successfully resolves 94% of conversations independently, handling student inquiries without requiring human intervention”
4
Advisor handles complex cases
human_review
“allowing advisors to focus on complex enrollment discussions”
Reported outcome
Lyro AI achieved a 94% resolution rate and 96% answer rate across over 750 conversations in 30 days, with a 3.83 CSAT score, freeing advisors to focus on complex enrollment discussions.
Reported metrics
Inquiry resolution rate94%
Question answer rate96%
CSAT score3.83 out of 5
Conversations in 30-day windowover 750
Reported stack
Lyro AI AgentTidio
Frequently asked questions
What did this team achieve with this AI workflow?
Lyro AI achieved a 94% resolution rate and 96% answer rate across over 750 conversations in 30 days, with a 3.83 CSAT score, freeing advisors to focus on complex enrollment discussions.
What tools did this team use?
Lyro AI Agent, Tidio.
What results were reported?
Inquiry resolution rate: 94%; Question answer rate: 96%; CSAT score: 3.83 out of 5; Conversations in 30-day window: over 750 (source-reported, not independently verified).
How is this customer support AI workflow structured?
Student inquiry via live chat → AI knowledge base lookup → Autonomous AI resolution → Advisor handles complex cases.