Hindi AI Voice Agent for EMI and Payment Collections
A Hindi AI voice agent for collections reminds borrowers of an EMI before and after the due date, asks politely what is blocking payment, records a promise-to-pay date and hands disputes to a person on your team. It suits early-stage, soft reminders, not legal recovery. Outpero offers this from ₹5/min with no setup fee, and this guide covers the Hindi call lines, the RBI cautions and the options that suit regulated lenders better.
Outpero publishes this guide and sells an AI voice agent, so it has an interest in the answer. Regulatory points below are general information, not legal advice; the rules for your lender type are set by the RBI and your own compliance team. Competitor details come from each vendor's public pages, checked on 2026-10-14.
What an AI agent can and cannot do in collections
An AI voice agent is good at the first, polite layer of collections: a reminder three days before the EMI, a nudge on the due date, and a check-in a few days later. These calls are high in volume, low in value per call and almost identical, which makes them expensive for people and easy for software. The Hindi call is not the hard part. The hard part is staying respectful and compliant when the borrower is stressed.
It is not a recovery agency. It does not threaten, visit, negotiate settlements or take legal steps, and it should not try. Anything beyond a reminder and a promise-to-pay, such as a dispute, a hardship request or a borrower who is upset, should move to a person.
The call, stage by stage, in Hindi
The lines below keep to 'aap' and 'ji' throughout and never raise the pressure. Each call starts by confirming it is the right person, because the phone is often answered by a family member, and the loan is never discussed with a third party.
| Stage | Hindi line | English meaning | Recorded |
|---|---|---|---|
| Identify | नमस्ते, क्या मेरी बात अनिल जी से हो रही है? मैं [कंपनी का नाम] से बोल रही हूँ। | Hello, am I speaking with Anil ji? I am calling from [company]. | Right person or not |
| 3 days before | अनिल जी, आपकी ₹8,500 की EMI 5 तारीख़ को due है। क्या मैं payment link WhatsApp पर भेज दूँ? | Anil ji, your ₹8,500 EMI is due on the 5th. Shall I send the payment link on WhatsApp? | Link sent, customer intent |
| Due date | अनिल जी, आज आपकी EMI की due date है। क्या आज payment हो पाएगा? | Anil ji, today is your EMI due date. Will payment be possible today? | Yes, no or later |
| 1 to 7 days overdue | आपकी पिछली EMI अभी pending दिख रही है। क्या कोई दिक़्क़त आ गई थी? बता दीजिए, हम मदद करने की कोशिश करेंगे। | Your last EMI shows as pending. Was there some difficulty? Do tell us, we will try to help. | Reason: salary delay, illness, dispute, forgot |
| Promise | ठीक है, तो आप 12 तारीख़ तक ₹8,500 भर देंगे। मैं यह note कर रही हूँ, धन्यवाद। | Fine, so you will pay ₹8,500 by the 12th. I am noting this down, thank you. | Promise date and amount |
| Dispute or hardship | मैं आपकी बात हमारी टीम तक पहुँचा देती हूँ, वो आपसे जल्द संपर्क करेंगे। | I will pass your message to our team, who will contact you soon. | Transfer or callback flag |
Note the reason question. 'Kya koi dikkat aa gayi thi?' (was there some difficulty?) produces more useful answers than 'kab pay karenge?' (when will you pay?). A borrower who says 'salary late aayi hai' (my salary came late) is a likely payer; one who says 'maine yeh loan liya hi nahi' (I never took this loan) is a dispute and must leave the automated flow immediately.
Phrases the brief must forbid
- —Any threat, including of legal action, police, a visit to the home or workplace, or contacting relatives and employers.
- —Any statement that the borrower is a defaulter, a cheat or 'blacklisted'.
- —Any mention of the loan to someone who is not the borrower.
- —Invented consequences, such as a precise credit-score drop. If the brief says nothing, the agent says nothing.
- —Pressure to pay 'right now' by borrowing from others.
RBI cautions to build in
RBI guidance on fair practices for regulated lenders and the recovery agents they use asks them to treat borrowers with courtesy, avoid harassment and threats, and contact them at reasonable hours; the commonly cited window is roughly 8 am to 7 pm. A lender remains responsible for how its calls are made even when software places them. Treat the guidance as the floor, and ask your compliance team for the current circular that applies to your category.
- —Calling windows. Outpero campaigns support calling windows, so set them inside permitted hours and respect the borrower's stated preferred time.
- —Identification. The agent names your company at the start and says it is an AI assistant if asked.
- —DND and consent. Bulk campaigns screen against DND, and the calling line is DLT-registered. Whether a reminder to an existing borrower is a service call is a decision for your compliance team.
- —Grievance. Give the customer a route to a person. Transfer to your team is a real feature and is opt-in per employee; decide which situations should trigger it.
- —Record keeping. Every call has a recording, transcript, summary and a list of custom fields, available in the dashboard and by webhook, which makes an audit trail you can show.
Want to hear this working, not just read about it?
What to measure in a pilot
| Metric | How to calculate | What it tells you |
|---|---|---|
| Right-party answer rate | Calls where the borrower was confirmed divided by answered calls | Whether the list and calling windows are working |
| Promise-to-pay rate | Promises recorded divided by right-party calls | Whether the script gets a commitment |
| Promise kept rate | Payments received by the promised date divided by promises | Whether promises are real |
| Escalation rate | Calls moved to a person divided by answered calls | Whether the agent hands over what it should |
| Complaint rate | Complaints per thousand calls | The number that decides if you scale |
| Credits per rupee collected | Total call credits divided by payments received after calls | Cost of the programme against what came in |
Run the pilot as a split. Give the agent a random half of one overdue bucket and your team the other half, so any difference comes from the calling and not the list. No external benchmark is cited here, because collection rates vary too much by product and bucket to compare.
Collections options compared
| Company | What it publishes on collections | Published price | Where it is stronger |
|---|---|---|---|
| Outpero | EMI and payment reminders in Hindi and six other languages; transfer to your team; recording, transcript and custom fields | Standard ₹5/min, Premium ₹6.8/min, no setup fee (excl. 18% GST) | Self-serve start in minutes; same price in every language |
| Skit.ai | Voice AI built for debt collection; lists FDCPA, TCPA, Reg F and UDAAP guardrails; offices in New York, Mumbai and Bengaluru | Not published; a case study mentions performance-based pricing | Collections focus since 2019 per its own page, with a 30 to 60 day pilot |
| Convin | A dedicated AI collections product plus repayment and EMI reminder flows | Not published; demo-led | Auditing of every human call, coaching, on-premise or private cloud |
| Gnani.ai | Collections listed as a use case alongside sales outreach | Not published; book a demo | Private cloud, on-premise and air-gapped deployment, security certifications |
| Exotel | AI agents for lead re-engagement and EMI reminders inside a contact-centre stack | AI price not published; contact-centre plans from $70, billing unit not stated | Dialers, human takeover and full telephony |
| Ringg AI | Outbound calling with call windows, retries and voicemail detection | ₹6 per connected minute, number ₹499 a month, monthly minimum of an unstated amount | Visual workflow builder and integrations |
For a bank or large NBFC with a regulator-facing risk team, the vendors with certifications, private deployment and a collections-only focus are likely to fit better than Outpero. For a small NBFC, a microfinance branch network, a school collecting fees or a business chasing dealer payments, a self-serve agent priced per minute is often enough.
What it costs
Outpero charges for connected minutes only, from prepaid credits at ₹1 each; unanswered calls are not billed. A dedicated +91 number is ₹649 a month including one channel, and each extra channel is ₹649 a month. A bulk list works through roughly 55 dials an hour per channel. Prices exclude 18% GST.
| Scenario | Connected minutes | Calling cost at ₹5 | With number, before GST |
|---|---|---|---|
| 1,000 pre-due reminders, 1 minute each | 1,000 | ₹5,000 | ₹5,649 |
| 1,000 reminders plus 400 overdue calls of 2 minutes | 1,800 | ₹9,000 | ₹9,649 |
| 3,000 connected reminders, 1 minute, on 3 channels | 3,000 | ₹15,000 | ₹16,947 |
The third row includes two extra channels at ₹649 each, so that a 3,000-dial list finishes in about 18 hours of calling. A human telecaller in India costs roughly ₹15,000 to ₹25,000 a month, with ₹18,000 as the reference figure, and works one shift.
When Outpero is not the right fit
- —Late-stage recovery, settlement talks or legal notices. Those need people.
- —A lender that must host call data on its own servers or show specific security certifications.
- —Borrowers who need Gujarati, Bengali or Punjabi, or who answer in Bhojpuri or another dialect rather than Hindi. Test a small batch and read the transcripts first.
- —A programme that relies on pressure rather than reminders. The agent is not built for that and the brief should not ask for it.
The verdict
Use a Hindi AI voice agent for the first, gentle layer of collections and keep people for everything that needs judgement. Start with a split pilot on a single overdue bucket, set calling windows inside permitted hours, and watch the complaint rate before the promise rate. Outpero's 50 free credits are enough to hear the Hindi on your own phone before you load a real list.
Frequently asked questions
Can an AI voice agent make EMI reminder calls in Hindi?
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Yes. Outpero's Hindi agent calls borrowers before and after an EMI due date, confirms the right person, asks politely about any difficulty, records a promise-to-pay date and sends a payment link on WhatsApp. It follows the borrower into English mid-sentence. Disputes and hardship requests are transferred to your team or flagged for a callback.
Is AI calling for collections allowed in India?
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AI calling is legal in India, but lenders must follow RBI fair-practices guidance: courteous treatment, no harassment or threats, and calls at reasonable hours, commonly cited as roughly 8 am to 7 pm. Outpero supports calling windows, a DLT-registered line and DND screening. Confirm the current rules for your lender type with your compliance team.
Will the AI agent threaten or pressure borrowers?
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It should not, and the brief must forbid it. The agent follows the script you set, so list banned phrases such as legal threats, contacting relatives and calling someone a defaulter. A calm, respectful tone in Hindi, with 'aap' and 'ji', gets better answers. Read the call transcripts in the dashboard during the pilot.
What if someone else answers the borrower's phone?
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The agent should confirm it is speaking to the borrower first, and if a family member answers it should say nothing about the loan and offer to call back. Put this rule in the brief explicitly. The transcript shows who answered, so you can check that the rule was followed during the pilot.
How much does AI collections calling cost per month?
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Standard voices are ₹5 per connected minute and Premium voices ₹6.8, with no setup fee or subscription. A dedicated +91 number is ₹649 a month including one channel. A thousand one-minute reminders cost about ₹5,649 before 18% GST. Unanswered calls are not billed, and signup includes 50 free credits.
Can it replace a collections team?
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No. It handles the high-volume, early layer of reminders and promise-to-pay capture, and frees your people for disputes, hardship cases and settlements. Outpero's call transfer sends a call to your team when a person should take it. Judge the value by the escalation and complaint rates in a split pilot, not by headcount.
The Outpero team builds AI voice agents for Indian businesses, in Hindi, Telugu, Tamil, Marathi, Kannada, Malayalam and English. Figures are from Outpero's own product unless another source is named.