Human-like AI for Debt Collections
Collections are a hyper-sensitive arm of any banking or financial institution that can make or break customer relationships. Nurturing those relationships is just as important as maintaining a healthy top line, isn't it? VocalLabs' highly synthesized and human-like Collection Bots offer an interactive experience for your customers, making collections a breeze.
Recovery is a conversation, not a campaign. Every call opens with a disclosure, listens before it asks, and offers only what your policy allows. The bot has no way to threaten, no way to raise its voice, and no bad day — which is precisely why customers stay on the line.
01 — 04
- 01Outbound call campaigns for debt collection — credit cards, loans, EMIs, etc.
- 02Capture key information (payment dates, method of payment, reasons for non-payment, etc.)
- 03Customizable conversation flows based on customer, product, and repayment level
- 04Multilingual capabilities to cater to all regions and demographics
The ladder, rung by rung
The same ladder, read as a book of accounts. Each rung is an ageing bucket, and each bucket gets its own tone of voice — the bar shows the share of a typical unsecured book that sits there. Notice the direction of travel: as the days grow, the bot gets softer and hands over sooner. Pressure never goes up.
- 01
0 — 30 days
Courtesy reminder
54% of bookWarm, assume it was simply missed
“Just a friendly reminder — your EMI of ₹8,400 was due on the 5th. Shall I read out the payment link?”
Most of this bucket self-cures on the first call. No negotiation, no pressure.
- 02
31 — 60 days
Reason capture
27% of bookListening — find out what changed
“I understand things have been tight. May I ask what would make this easier for you this month?”
The bot logs the reason code — job loss, medical, dispute, travel — and routes accordingly.
- 03
61 — 90 days
Arrangement
13% of bookProblem-solving, offers within your policy
“We can split the ₹16,800 across two instalments. Would the 12th and the 26th work for you?”
Promise-to-pay is captured with an amount, a date and a method, then confirmed by SMS.
- 04
90+ days
Human handoff
6% of bookRespectful, escalates to a person — never harder
“I would like to get a colleague from our resolution team on this with you. Is now a good time?”
Warm transfer with the full context, or a scheduled callback. The bot never threatens.
What one call actually does
- 01
Segment and schedule
Accounts sync from your LMS or CRM with balance, ageing bucket, language and last contact. The dialer only queues numbers whose local time falls inside the permitted calling window.
Suppression list applied before dial
- 02
Identify and disclose
The bot verifies it is speaking to the right person before any amount is mentioned, then states who is calling, on whose behalf, and that the call is recorded.
No balance disclosed to third parties
- 03
Listen, then offer
Reason for non-payment is captured in the customer’s own words. Within the limits you configure, the bot offers a date shift, a part payment or an instalment split.
Offers bounded by your policy matrix
- 04
Confirm the promise
Amount, date and method are read back and confirmed out loud, written to your system of record, and echoed to the customer over SMS or WhatsApp with a payment link.
PTP written back in real time
- 05
Follow through
A reminder lands the day before the promised date. If the promise breaks, the account steps down one rung of the ladder rather than escalating in tone.
Break-promise re-queue, not re-pressure
A real call, word for word
One recovery call from a salary-delay account, transcribed. Read the verbs: understand, ask, note, confirm. Nothing in this conversation demands, warns or implies.
- BOT
Good afternoon. Am I speaking with Ms. Anita Rao?
10:42 · identity check - CUSTOMER
Yes, speaking.
- BOT
Thank you. This is an automated call from Meridian Finance about your personal loan account. This call is recorded. Is now a convenient time to talk for two minutes?
disclosure + recording consent - CUSTOMER
Go ahead, but I only have a minute.
- BOT
Of course. Your instalment of eight thousand four hundred rupees was due on the fifth and is showing as unpaid. I am not here to press you — I would just like to understand what would help.
31 — 60 · reason capture - CUSTOMER
My salary got delayed this month. It usually comes on the first, it is coming on the twentieth now.
- BOT
Thank you for telling me, that is genuinely useful. I can note a delayed-salary reason on the account. Would paying on the twenty-first work better for you than today?
reason code: SALARY_DELAY - CUSTOMER
The twenty-first is fine. Can I pay half then and half at the end of the month?
- BOT
Yes — I can set up four thousand two hundred on the twenty-first and the balance on the thirtieth. To be clear, late fees on the original due date still apply, and I will send the exact figures in writing.
split within policy · fees disclosed - CUSTOMER
Okay, do that.
- BOT
Confirmed. Four thousand two hundred on the twenty-first, four thousand two hundred on the thirtieth, by UPI. You will get an SMS with a payment link in a moment. If anything changes before then, call us and we will look at it again. Thank you for your time, Ms. Rao.
PTP written · SMS queued
The guardrails, in writing
Collections is the most heavily regulated conversation a lender has. These controls are enforced by the platform before a number is dialled, not audited out of a sample of recordings afterwards.
- Calling-hours window
- 08:00 — 19:00 local
- Enforced against the debtor’s own time zone, not the campaign’s. Calls outside the window are held, never placed.
- Attempt caps
- 3 / day · 7 / week
- Counted per account across every channel, with a cooling-off period after a right-party contact.
- Mini-Miranda disclosure
- Read before amounts
- Who is calling, on whose behalf, and the purpose of the call — spoken in full before any balance is mentioned.
- Third-party disclosure
- Blocked by default
- If the wrong party answers, the bot confirms nothing about the debt and asks only for a better time to reach the customer.
- Recording consent
- Announced + logged
- Consent state is stamped on the recording; two-party-consent regions can be configured to drop recording instead.
- Do-not-call and cease-contact
- Honoured instantly
- A spoken request to stop calling suppresses the account within the same call and is written back to your system.
- Dispute handling
- Escalate, never argue
- If the customer disputes the debt, collection language stops and the account routes to a human queue.
- Audit trail
- Audio + transcript + reason
- Every call is retained with its transcript, reason code and consent state, exportable for regulatory review.
What changes on the book
- 01
3.2×
Contact rate uplift
versus a same-size manual dialling team
- 02
41%
More promises captured
in the 31 — 60 day bucket
- 03
68%
Promise-to-pay kept
where the follow-up reminder ran
- 04
12s
Median time to reason code
from right-party contact
- 05
20+
Languages and dialects
switched mid-call on request
- 06
0
Aggressive-language incidents
the bot has no escalation register
Manual calling versus the bot
Coverage
Agents reach the top of the list; the tail of small balances is never called
Every account in every bucket gets its call, small balances included
Tone consistency
Varies by agent, by hour, by how the last call went
Identical script discipline on call one and call ten thousand
Reason capture
Free-text notes, filled in later, often blank
Structured reason code on the call, written back live
Compliance risk
Spot-checked on a sample of recordings after the fact
Window, disclosure and cease-contact enforced before the dial
Language reach
Limited to whoever is on shift that day
Twenty-plus languages available on every shift
Cost to serve
Scales linearly with the size of the book
Flat per-call economics as volume grows
Where it plugs in
- 01
Outbound voice
Predictive and preview dialling over your own SIP trunks or ours, with local caller ID per circle.
SIP · PSTN · local presence
- 02
Inbound callback
A customer who calls the number back reaches the same bot with the full history of the last conversation.
IVR deflection · context carry-over
- 03
WhatsApp and SMS
Payment links, instalment confirmations and day-before reminders go out on the channel the customer answers on.
Template-approved messaging
- 04
CRM and LMS writeback
Promise-to-pay, reason code, consent state and call disposition land in your system of record as the call ends.
Webhooks · REST · nightly file
- 05
Payment rails
UPI intent, hosted card pages and net-banking links generated per call so the customer never re-keys an account number.
PCI-safe · no card data spoken
- 06
Agent desktop
Warm transfer hands the human the transcript, the ageing bucket and the offer already on the table.
Screen-pop with context
The objections worth answering
Collections · get started
Recover more without being the lender people dread hearing from.
Bring one ageing bucket, one language and one policy matrix. We will run it against a slice of your book and show you the transcripts, the reason codes and the promises kept.
