# Stop Free-Sample Misuse with AI Calls

> How B2B sampling programmes use an AI call to check the person really is a teacher, doctor or buyer before a free sample ships, and what to do if not.

Source: https://edesy.in/blog/stop-free-sample-abuse-ai-verification-calls-2026

**Free samples attract people who aren't your audience.** A publisher's specimen book ends up with a
student, a relative or a reseller; a doctor's sample goes to someone who just wants the free item.
Each wasted sample costs the product, the courier and the follow-up. In one deployment, a CBSE
exam-prep book publisher uses an AI call to verify that each person is a practising teacher before a
specimen book ships. This post covers how to design that check.

> **Verify before you ship:** [Start free on Edesy](https://voice-agent.edesy.in/?utm_source=edesy.in&utm_medium=blog&utm_campaign=stop-free-sample-abuse-ai-verification-calls-2026) — Rs 50 free credit, no demo needed.

## Step 1: write down who is eligible

Before the script, decide the rule. For the publisher:

- a practising school teacher (not a tutor-only, student or parent);
- teaching a class and subject the book is for;
- one sample per teacher.

Be specific. "Teachers" is too loose; "currently teaching Class 9–12 science at a school" is a rule
an AI call can check.

## Step 2: verify with open questions

The agent asks questions a genuine person answers easily and in detail:

- "Aap kaunsi classes padhate hain?" (Which classes do you teach?)
- "Kaunsa subject?"
- "School ka naam kya hai?" (only if you need it)

**Never offer the answer options.** "Are you a TGT or a PGT?" invites anyone to pick one. More on
phrasing in [verification questions on AI calls that verify](https://edesy.in/blog/verification-questions-ai-calls-dont-give-options-2026).

## Step 3: listen for volunteered detail

The strongest signals are the ones the person gives without being asked. Real teachers often mention:

- a designation such as **PRT, TGT or PGT**;
- a qualification such as **B.Ed** or **CTET**;
- specific sections, board-exam pressure, or their timetable.

Vague answers ("haan, padhata hoon... sab kuch") or answers that echo your own wording are weaker.
Detail volunteered unprompted is hard to fake.

## Step 4: record a verdict, not just an outcome

Post-call extraction turns each call into fields your dispatch team can act on:

| Field | Values |
|---|---|
| Verdict | Eligible, not eligible, unclear |
| Reason | Not a teacher, wrong person, requesting for someone else, wrong class or subject, refused to answer |
| Class and subject | As stated |
| Designation or qualification volunteered | Yes / no + what |

Only **eligible** rows go to dispatch. **Unclear** rows go to a person for a quick check. Everything
exports to CSV or Google Sheets, or to your CRM by webhook.

## Step 5: be polite to people who don't qualify

The agent doesn't accuse anyone. "Thank you, this offer is only for teachers currently teaching
these classes" is enough. People requesting for someone else can be asked to have that person
call or reply, and a WhatsApp message can carry the details.

## Watch out for

- **Keyword checks that break in transcription.** On Hindi-English calls, speech-to-text can write
  English acronyms like "TGT" in Devanagari, so a check for the English word misses it. See
  [Hinglish STT, acronyms and keyword checks](https://edesy.in/blog/hinglish-stt-acronyms-keyword-qualification-2026).
- **Over-strict rules.** A new teacher may not volunteer a designation. Use "unclear" rather than
  rejecting.
- **Duplicate requests.** One sample per person: match on phone number before dispatch.

## Beyond books

The same verify-then-ship pattern works for pharma samples to doctors, trial packs to pharmacists,
lenses to opticians and product samples to trade buyers. Only the eligibility rule and questions
change.

## Try it

[Create a free account](https://voice-agent.edesy.in/?utm_source=edesy.in&utm_medium=blog&utm_campaign=stop-free-sample-abuse-ai-verification-calls-2026),
start from your own eligibility rule, and test on 30 calls. See the full programme in
[how a publisher verifies teachers with AI calls](https://edesy.in/ai-voice-assistant/case-studies/publisher-teacher-verification-calls).

## Related reading

- [How a publisher reaches teachers with AI calls](https://edesy.in/blog/publisher-teacher-outreach-ai-calls-2026)
- [Follow-up calls after free samples ship](https://edesy.in/blog/sample-delivery-follow-up-calls-ai-2026)
- [Score every AI call automatically](https://edesy.in/blog/score-every-ai-call-automatically-2026)

## Frequently Asked Questions

### How do you stop free samples going to the wrong people?

Write down who is eligible, then have the AI call check it with open questions before anything ships. Record a clear verdict (eligible, not eligible, unclear) and only dispatch to eligible people.

### How can a call tell if someone is really a teacher?

Genuine teachers answer naturally with details: the class and subject they teach, and often their designation (such as PRT, TGT or PGT) or qualification without being asked. People who aren't teachers tend to give vague or borrowed answers.

### Should the agent ask 'Are you a TGT or PGT?'

No. Offering the options lets anyone pick one. Ask open questions like 'Which classes do you teach?' and treat details the person volunteers as the strongest signal.

### What should happen to people who aren't eligible?

Thank them politely and record the reason, such as not a teacher, wrong person or requesting for someone else. Don't argue on the call. Your team can review 'unclear' cases.

### Does this work for sampling beyond education?

Yes. The same pattern applies to samples for doctors, pharmacists, opticians, retailers or trade buyers: define eligibility, verify with open questions, record a verdict, dispatch only to eligible people.