Use case · Debt collections

Reminder calls that respect the customer.

Vocily AI places reminder calls with consistent scripts, captures responses, and escalates to a human teammate when the conversation calls for it.

The problem

Reminder calls are a treadmill the human team can't beat.

A collections agent reads the same script 80 times a day. Quality dips after lunch, tone slips in the last hour, and the right outcome rarely lands on the right record. Vocily AI runs the treadmill so humans focus on the calls that actually need them.

Problem · Solution

The problem today

Reminder calls are a treadmill the human team can't beat. A collections agent reads the same script 80–120 times a day; quality dips after lunch, tone slips by the last hour, and the wrong outcome lands on the right record (or the right outcome lands on no record at all). Scripts drift because no two agents say it identically. The customer gets a call from someone they've never spoken to before, often in a language that isn't their first. The cost isn't the calls — it's the collections that slipped because nobody followed the script, and the audit issues that surface a quarter later.

How Vocily AI handles it

  • Identical script execution

    Every call follows your exact compliance-approved script. No drift, no agent improvisation, no missed disclosures.

  • Promise-to-pay capture

    PTP date, amount, and the customer's own words are captured as structured fields — feeds directly into your follow-up cadence.

  • Sentiment-gated escalation

    If sentiment turns negative, if the customer disputes, or if vulnerability indicators show up, the call transfers to a teammate immediately.

  • Language match per borrower

    Hindi, Hinglish, Tamil, Telugu, Marathi, Bengali, Gujarati — selected per borrower's profile so the conversation feels personal.

  • Full audit trail

    Transcript, recording, language tag, consent, outcome and sentiment scores stored together — compliance review is a filter, not a hunt.

How the conversation runs

Conversation, then action.

Step 01

Batch starts

An outbound batch is queued through your chosen agent.

Step 02

Conversation

Agent confirms identity, mentions due amount, and captures the response.

Step 03

Commitment captured

Promise-to-pay date, partial-payment, or dispute is logged on the execution.

Step 04

Escalation

If sentiment turns or the customer asks, the agent transfers to a teammate.

Sentiment trigger

Listen in

Pre-DPD reminder in Hindi.

Hindi

Namaste Priya ji. Main ABC Finance se. Aapki EMI 12 tareekh ko due hai. Kya us din pay ho jayega?

Haan, 12 ko ho jayega.

Theek hai, maine 12 ka promise note kar liya. Aapko confirmation SMS aayega.

Promise-to-pay captured

Illustrative — real call flows run end-to-end inside Vocily AI

Common questions

What teams ask before they switch.

Dispute language triggers an immediate transfer to your collections team with the disputed amount and the customer's exact wording attached — the human picks up mid-conversation.