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Industry — Debt Collections

Voice AI for Debt Collections

Automate first-party collections, third-party recovery and NPA outreach in Hindi, Marathi, Tamil and Telugu — at a fraction of the cost of a BPO, with RBI-compliant call flows.

Debt Collections

Debt collections is the highest-volume voice AI use case in India. Indian banks, NBFCs and recovery agencies collectively dial billions of minutes every month across credit-card dues, personal loans, EMI overdues, two-wheeler and auto loans, and business credit. ThinnestAI lets lending teams run those campaigns on a fully automated voice agent — in the languages that actually work for Indian borrowers — while staying compliant with the RBI Fair Practices Code.

Collections agent Live
1First-party credit card dues
2Personal loan EMI reminders
3Two-wheeler and auto loan recovery

The problem

What collections teams fight today.

TodayManual

01

The problem today

Manual BPO collections are breaking. Agent attrition runs 60–100% annually. Wage inflation is outpacing recovery rates. Regional language coverage is patchy — most BPOs cover Hindi and English and struggle with Marathi, Tamil, Telugu, Bengali and Gujarati at production quality. Compliance drift (wrong call timing, missing disclosures, incomplete recordings) creates real RBI exposure. And call quality is inconsistent because tired Level-1 agents cannot follow scripts for the tenth hour in a row.

With ThinnestAI Automated
Multi-language coverage — Hindi, Marathi, Tamil, Telugu, Gujarati, Bengali and the rest of the 22 scheduled Indian languages, on a curated, platform-managed voice stack with per-language QA.
RBI Fair Practices Code aware call handling — mandatory timing, identity disclosure, callback scheduling, no coercive language.
Native Indian phone number procurement — buy an Indian number from us for ₹349/mo, or import your own Plivo, Vobiz, Twilio or Telnyx number at ₹0 — DLT-compliant sender IDs and campaign registration.

02

How ThinnestAI handles it

  • Multi-language coverage — Hindi, Marathi, Tamil, Telugu, Gujarati, Bengali and the rest of the 22 scheduled Indian languages, on a curated, platform-managed voice stack with per-language QA.
  • RBI Fair Practices Code aware call handling — mandatory timing, identity disclosure, callback scheduling, no coercive language.
  • Native Indian phone number procurement — buy an Indian number from us for ₹349/mo, or import your own Plivo, Vobiz, Twilio or Telnyx number at ₹0 — DLT-compliant sender IDs and campaign registration.
  • Full call recording with configurable retention and auto-purge, exportable for compliance audits.
  • CRM integration via webhooks — Salesforce, Zoho, HubSpot or a direct POST to your internal system of record with the outcome, promise-to-pay date and transcript on every call.

Who it's for

Who this is for

Decision maker

01

Decision maker

Head of Collections / VP Recovery / Ops Director at a bank, NBFC, fintech or recovery agency

Typical volume

02

Typical volume

500K – 5M minutes/month for mid-market; 10M+ for large NBFCs

Sales cycle

03

Sales cycle

Typically 4–8 weeks from first call to pilot. Compliance review is the longest step, not technical integration.

Call flow

Sample collections call flow

How a real collections voice agent actually runs on ThinnestAI — from pickup to wrap-up, with compliant disclosures baked in. Watch it play, or scroll to explore each step.

STEP 01
1/7

Identity verification

Agent greets in the borrower's preferred language and verifies identity via a non-sensitive detail (e.g. partial phone, city on file) — never a full account number on an unverified line.

“नमस्ते, क्या मेरी बात राजेश शर्मा जी से हो रही है?”
STEP 02
2/7

Call purpose disclosure

Agent identifies the lender, states the purpose of the call and asks for consent to proceed — required by RBI Fair Practices Code.

“मैं ABC बैंक की ओर से आपकी EMI के बारे में बात करना चाहती हूँ। क्या यह बात करने का सही समय है?”
STEP 03
3/7

Overdue disclosure

Agent discloses the overdue amount, due date and any late fees — all values fetched live from the CRM or LMS at call start.

STEP 04
4/7

Objection handling

Agent handles common objections — "I will pay next week", "I am facing job issues", "Call back later" — with empathetic, compliant responses.

STEP 05
5/7

Promise-to-pay capture

If the borrower commits to a payment date, the agent captures it structurally and writes it back to the CRM via webhook.

STEP 06
6/7

Callback scheduling or escalation

If the borrower asks to call back, the agent schedules the callback. If abusive or in distress, the agent escalates to a human per configurable rules.

STEP 07
7/7

Wrap-up and logging

Agent closes the call politely, writes the outcome code (PTP / CB / RTP / Disconnect) to the CRM, and stores the full recording for compliance audit.

Use cases

Where collections voice AI actually wins

01

First-party credit card dues

Bank or card issuer dialing its own customers for minimum due, full due or overlimit collections — early bucket (0–30 DPD).

02

Personal loan EMI reminders

NBFC or bank reminder calls for EMIs overdue 1–60 days, with promise-to-pay capture and callback scheduling.

03

Two-wheeler and auto loan recovery

Regional-language recovery calls for tier-2 and tier-3 city borrowers where English / Hindi-only agents underperform.

04

Third-party recovery agencies

Licensed DRAs running concurrent campaigns across lenders with tenant-isolated workflows and compliant script enforcement.

05

NPA pre-legal outreach

Pre-legal notices, settlement offer outreach and one-time-settlement (OTS) discussions with full recording for audit trail.

06

Business credit / SME lending

Invoice finance and SME lending follow-ups to business owners in Marathi, Gujarati and Tamil — languages large BPOs struggle to cover.

Compliance

Compliance, out of the box

Regulated workloads get regulated defaults. ThinnestAI enforces these on every agent for this industry — you can override with a compliance review, but the defaults are safe.

RBI Fair Practices Code

Call timing enforced between 08:00 and 19:00 IST by default. Identity disclosure and call purpose disclosure mandatory on every call. No coercive, threatening or abusive language ever generated.

TRAI DLT registration

Caller ID must be registered on the TRAI DLT platform. ThinnestAI supports BYO DLT-compliant Plivo, Vobiz, Twilio or Telnyx numbers, or provisions a DLT-compliant number for you directly.

Full call recording

Every call is recorded with configurable retention and auto-purge, and exportable for RBI audits. Recordings are encrypted at rest.

Consent and DND handling

The agent checks customer consent and respects do-not-disturb preferences captured from prior calls.

DPDP Act compliance

Personal data handling follows the Digital Personal Data Protection Act. Data is processed and stored in the Mumbai region (GCP asia-south1).

ROI

The ROI math

OptionCostUnit
Manual BPO agent (fully loaded)₹150–₹250per effective calling hour
Hindi-only BPO agent (tier-1 city)₹30,000per month fully loaded
ThinnestAI voice agent₹2–2.5/minflat and all-inclusive, telephony included — 60–80% cheaper per successful contact

Honest fit

When ThinnestAI is not the right fit

Be honest before you buy. These are the collections scenarios where voice AI — ours or anyone else's — is the wrong tool.

  • —High-bucket (90+ DPD) hard collections where a human recovery agent's presence is legally or practically required.
  • —Skip-tracing or address verification where the borrower is uncontactable by phone.
  • —Cases already in legal proceedings or under a court-supervised resolution plan.
  • —Micro-finance joint liability group (JLG) models that rely on in-person group meetings.

FAQ

Frequently asked questions

Is a voice AI agent legally allowed to make collections calls in India?

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Yes. The RBI Fair Practices Code governs the conduct of collections calls regardless of whether the caller is a human or an AI agent. ThinnestAI's default flows enforce the mandatory requirements — call timing (08:00–19:00 IST), identity disclosure, purpose disclosure, no coercive language, and full call recording. You are responsible for ensuring your specific script and campaign are reviewed by your compliance team before launch.

Which Indian languages work well for collections calls?

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Hindi, Marathi, Tamil, Telugu, Bengali and Gujarati are production-ready on ThinnestAI for collections. Punjabi, Kannada, Malayalam and Odia are supported and good enough for first-party bucket. We recommend native-speaker QA before launching any campaign in a new language.

How much does a collections voice AI cost per minute compared to a BPO?

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A fully loaded Indian BPO agent typically costs ₹150–₹250 per effective calling hour, which is roughly ₹2.5–₹4 per minute of outbound talk time once you factor in attrition, training, floor overhead and management layers. ThinnestAI is flat and all-inclusive — ₹2/min on standard voices and ₹2.5/min on premium voices, telephony included either way. Per-minute the standard-voice rate is already below the headline BPO wage, and one agent can run hundreds of concurrent calls, so per-successful-contact cost is typically 60–80% lower than a BPO.

Can the voice agent handle objections like "I'll pay next week" or "I lost my job"?

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Yes. You write the common collections objections into the agent's prompt and configure the matching actions in settings — promise-to-pay capture, extension requests, dispute handling, distress escalation. The LLM handles the natural-language variations; the actions capture the outcome as structured data.

What happens if the borrower gets angry or abusive?

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You can configure an escalation rule — on detected abuse, distress signals, or explicit ask to speak to a human, the agent politely closes the call and either schedules a callback with a human agent, or transfers the call live if you have a human queue configured. The default behavior is to never argue, never escalate language, and always log the event.

Does ThinnestAI integrate with our CRM / LMS?

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Yes. At call start, ThinnestAI pulls borrower context (name, overdue amount, days past due, product, prior PTPs) from your CRM via webhook or REST. At call end, the outcome code, PTP date, recording URL and transcript are written back to the same system. We have reference integrations for Salesforce, Zoho, HubSpot and direct REST to custom internal systems.

Can we use our own Twilio / Exotel / Vobiz phone numbers?

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Twilio and Vobiz, yes; Exotel, no. Plivo, Vobiz, Twilio and Telnyx numbers can be imported, and you keep your existing DLT-registered caller ID and carrier relationship at ₹0 extra. For Twilio, connect your Twilio account and we set the number up for you — voicemail detection and transfer to a person aren't available on an imported Twilio number. Exotel numbers can't be imported. Otherwise, buy an Indian number from us for ₹349/mo and we handle provisioning and DLT.

How long does it take to go live with a collections campaign?

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Technical integration is typically 5–10 working days — CRM webhook, agent setup in the settings tabs (prompt, knowledge, actions, voice), voice QA on recorded test conversations, DLT registration if not already done. Compliance review is usually the long pole, not the technology.

Where is customer data stored?

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Call recordings and transcripts are stored in the Mumbai region (GCP asia-south1). Retention is 30 days on Pay As You Go, 75 on Scale, and negotiated on Enterprise — Trial does not record calls.

Pilot a collections voice agent this week

Free trial — 25 voice minutes, no card required. Telephony included, INR billing with GST invoices.