lead_processing · education · workflow
TripleTen uses Retell AI voice agent Charlotte to save 200 hours per month in admissions
As marketing drove a surge in student inquiries in summer 2024, TripleTen's admissions team could not keep up with the influx, creating a bottleneck that threatened to cap marketing spend and limit growth.
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 · Prospective student inquiry
Prospective students reach out with admissions inquiries that previously overwhelmed the human admissions team.
Tools used
Retell AI
Outcome
Charlotte handled over 3,000 hours of talk time and freed roughly 200 hours per month for advisors to focus on higher-value student conversations, while delivering more consistent and immediate response than the human team alone.
Results
Time savedmore than 3,000 hours
Volumeroughly 200 hours per month
Running sinceAugust 2024
Grounding & classification
Source type: vendor customer story
23 fields verified against source quotes.
conversational aivoice aicall recordinghuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describededucationemployee productivitythroughput increasetime savedvendor customer storycustomer supportlead processingautonomous resolutionvoice call handling