01
Enquiries captured with student and course preferences.
Early-access calling workflows for coaching classes
Capture admission enquiries while teaching continues.
A candidate workflow for approved course information, batch enquiries, demo requests, and follow-up calls.
The challenge
Built to resolve friction in daily call workflows.
Teachers and institute teams receive repetitive questions about subjects, grades, batch timings, listed fees, and demo classes.
Munsshi can capture consistent enquiry details and use institute-approved information while policy exceptions go to staff.
Common pain points
- Calls interrupt live classes.
- Admission details are captured inconsistently.
- Demo and follow-up calls are delayed.
30-day success measures
What we measure instead of promising results.
02
Approved course questions answered accurately.
03
Demo requests and follow-up tasks recorded.
Simulated call dialogue
An illustration, not a real customer call.
The owner configures the approved knowledge, rules, and handover conditions. Actual wording and results will vary.
Caller
Do you have a Class 10 physics batch on weekdays?
Munsshi (AI)
I am Munsshi, an AI calling assistant for the institute. I can check the approved batch information and capture a demo-class request.
Caller
Evening classes would be best.
Munsshi (AI)
I have recorded that preference for the institute to confirm.
Step-by-step workflow
How the call flow works end-to-end.
01
Identify course interest
Captures grade, subject, and preferred batch timing.
02
Answer approved questions
Uses configured course, fee, location, and schedule information.
03
Create follow-up
Records a demo or admission follow-up task for staff.
Human control & guardrails
Where the workflow continues and where a person takes over.
Course information
- Configured handling
- Answer from approved institute knowledge
- Human handover
- Academic counseling or exception
Demo enquiry
- Configured handling
- Capture student, grade, and preferred time
- Human handover
- Final seat confirmation
Follow-up call
- Configured handling
- Run an owner-scheduled approved workflow
- Human handover
- Scholarship or payment discussion
Honest data flow
Cloud speech processing. Local retained records.
Call audio is transmitted to a cloud service for processing. The reasoning context contains the query without personal data. Audio, transcripts, summaries, customer history, lead status, tasks, and booking details retained after the call are stored locally on the Android device until the business manually deletes them.
The owner can take over a live call. If cloud processing is unavailable, the phone rings so the owner can answer.
Frequently asked questions
Questions specific to Coaching classes & tutors.
Can Munsshi promise admission or a seat?
No. It captures the request; the institute controls final availability and admission decisions.
Can it answer fee questions?
It can share only the fee information and conditions approved by the institute.
Have a repetitive call workflow in your business?
Apply for limited early access and validate it with us over 30 days.
Apply for limited early access