Collections use case

Collections that recover more by staying respectful

Zoice calls borrowers at their best time to call, reminds them empathetically in 10+ Indian languages, sends the payment link on WhatsApp, and records the promise-to-pay — at a scale no calling floor can match.

EMI reminder in Hindi, link on WhatsApp

VoiceWhatsApp
AI agent

नमस्ते शर्मा जी, मैं आपके लोन प्रोवाइडर की वर्चुअल असिस्टेंट बोल रही हूँ। आपकी ₹4,250 की EMI 15 जून को due है — बस याद दिलाने के लिए कॉल किया है।

Customer

हाँ पता है, पर इस महीने थोड़ी दिक्कत है — सैलरी लेट है।

AI agent

कोई बात नहीं, समझ सकती हूँ। क्या सैलरी आने के बाद 18 जून तक payment हो पाएगी?

Customer

हाँ, 18 तक पक्का कर दूँगा।

AI agent

बहुत बढ़िया। मैंने 18 जून का promise-to-pay नोट कर लिया है — payment link अभी आपके WhatsApp पर भेज रही हूँ। धन्यवाद!

PTP: ₹4,250 by 18 JunPayment link: sent on WhatsAppSentiment: cooperative

If the payment doesn't arrive, a follow-up sequence schedules the next voice reminder automatically.

The problem

Collections is a volume game with a human cost

The work is repetitive, the tone is delicate, and the timing is everything.

Agents burn out on dunning calls

Hundreds of identical reminder calls a day grind down your best people — attrition on collection floors is among the highest anywhere.

Pressure tactics backfire

Aggressive scripts trigger complaints, regulatory scrutiny, and borrowers who stop answering altogether.

Calls land at the wrong moment

A reminder during work hours gets a hang-up. The same call at the right time gets a payment date.

Promises to pay evaporate

A verbal "next week, definitely" that nobody logs or follows up on is worth exactly nothing.

How it works

The reminder flow that collects

From due-date file to tracked promise-to-pay, automatically.

1

Upload your due-date file

Import the portfolio as a CSV and launch the campaign. Best-time-to-call scheduling reaches each borrower when they actually answer — not in one mid-morning blast.

2

Remind empathetically, in their language

The agent reminds, listens, and negotiates a realistic date in the borrower's own language — then drops the payment link on WhatsApp while the call is still warm.

3

Capture the promise-to-pay

Amount and date are extracted and tracked as objectives. If the money doesn't arrive, the voice → WhatsApp → voice sequence follows up automatically.

4

Hand hardship cases to a human

Disputes and distress transfer via transfer_agent, and supervisors on the live console can whisper guidance or take the call over.

Capabilities

Collections tooling, minus the call floor

Six capabilities that lift recovery without lifting the pressure.

Best-time-to-call campaigns

CSV import plus per-borrower call scheduling lifts right-party contact without extra dial attempts.

Voice → WhatsApp → voice sequences

Reminder, payment link, and follow-up run as one automated sequence until the EMI is paid or the case escalates.

Promise-to-pay extraction

Committed amount and date are captured as structured fields and tracked to completion — every PTP gets a follow-up.

Long-term contact memory

The agent remembers last month's conversation — the missed promise, the salary date — and adjusts its approach.

Consent capture + PII redaction

DPDP-ready consent at call start and automatic masking of financial details keep regulated calling clean.

Live console for hard cases

Supervisors watch sensitive calls live, whisper to the AI, or take over before a situation escalates.

17%

improvement in collection rates

Turn due dates into paid dates

Empathetic reminders, instant payment links, and tracked promises-to-pay — across your whole portfolio.

Collection — Frequently Asked Questions

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