SagepilotTalentGum

How TalentGum automated 95% of support with Sagepilot

Live classes for kids in 40+ countries: public speaking, chess, coding, dance, music. 50,000+ families and 62,000+ messages a month, answered by Ananya, the AI employee.

98%

AI resolution rate

3s

average response time

50,000+

customers served

The brand

TalentGum teaches children aged 5 to 14 real-world skills through live online classes with real teachers: public speaking, debate, chess, coding, keyboard, dance, and art, across 40+ countries. Every class comes with a parent who has questions, in their own timezone.

The challenge

At 62,000+ messages a month across WhatsApp, Instagram, and web chat, the support team spent 80% of its time on questions that followed the same pattern every time: course fit, demo scheduling, rescheduling, login issues, session policies. Hiring more agents didn't scale, and international parents waited hours during off-peak coverage.

Why Sagepilot

Sagepilot started as a WhatsApp lead-qualification layer and earned its way into the whole operation: full pre-sales conversations with regional pricing and demo booking, then complete post-purchase support. Ananya identifies parents by their WhatsApp number, pulls the right child's profile, and manages cancellations, rescheduling, holds, and teacher transfers against real policy windows.

The results

Support went from 20 people to 1 or 2 handling escalations only. Response times dropped from 15-45 minutes to under 10 seconds, coverage went from IST business hours to 24/7 across every timezone, and policy enforcement became consistent, with empathetic exceptions escalated to humans.

The AI doesn't feel like a chatbot. Parents tell us it feels like texting someone on the team.
Saunak Ghosh · Co-Founder & CEO · TalentGum
Post-purchase · Class management

Class changes handled at 11:47 PM

Ananya identifies the parent by WhatsApp number, pulls the right child's profile, and executes cancellations, rescheduling, holds, and teacher transfers against real policy windows. This exchange is from the published study, verbatim.

Hi, please cancel tomorrow’s keyboard class for Aarav. We have a family function.
Done, Meera! Aarav’s Beginner Keyboard session with Teacher Priya on Saturday at 10:00 AM IST is cancelled, and the session credit is carried forward to your account.
  • Session credit carried forward
11:47 PM message, resolved in 4 seconds
Pre-sales · Enrollment

From first message to booked demo

Course recommendations across 10 subjects, tailored by age and goals, with regional pricing for India, the Middle East, and the US, and demo booking handled end to end.

New inquiry · “Chess classes for my 8-year-old?”
  • Child age, interests, and goals captured
  • Regional pricing detected: Middle East
  • Demo booked with a specialist
First message to booked demo, no human needed
Governance · Policy

Policy enforced, exceptions escalated

The 45-minute cancellation window applies consistently, and genuinely upset parents get a human: escalations arrive as detailed tickets with full context and a 24-hour response commitment.

Cancellation request · outside the 45-minute window
  • Policy window validated
  • Frustrated parent detected, tone adjusted
  • Escalated with full context for case review
Consistent policy, empathetic exceptions
Onboarding

Going live

Phase 1 · Lead qualification

A WhatsApp layer collects child age, course interest, and location, then routes warm leads to admissions.

Phase 2 · Full pre-sales

Course recommendations across 10 subjects, regional pricing for India, the Middle East, and the US, and end-to-end demo booking.

Phase 3 · Post-purchase support

Ananya manages the full lifecycle: cancellations with credit-back, rescheduling, holds, teacher transfers, and live-class support.

Customers

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