customer_support · education · workflow
NRVTA Automates Student Inquiries With Lyro AI, Achieving 94% Resolution
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Student inquiry via live chat
Student inquiries arrive through a live chat channel for prospective and current students.
Tools used
Lyro AI AgentTidio
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.
Results
Time savedover 750
Volume94%
Grounding & classification
Source type: vendor customer story
24 fields verified against source quotes.
ai agentchatbotconversational aiknowledge searchchat transcriptknowledge basehuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describededucationautomation ratecustomer satisfactiondeflection ratevendor customer storycustomer supportautonomous resolutionescalation workflow