The non-responder queue
The layer reads who never replied to WhatsApp, SMS or RCS, queues them by days past due, and calls at the hours that account tends to pick up, evenings and Saturdays included, always within allowed hours.
TALK TO SALES
Answer a few questions about your collections operation. Within 2 business days you get the projection built on your own numbers and a live demo of the agent running your cadence.
Step 1 of 4
Only what we need to get back to you. The rest is about the operation.
COMPANIES ALREADY RUNNING ON TALKOVER
WHY TALKOVER
Queue, conversation, outcome: the voice agent’s three gears, running on top of the cadence your operation already has.
REAL CLIENT RESULT
A single month, in the band where traditional collections has already given up: debt more than 30 days past due. In that same month R$169.9k landed in cash, R$17.68 back for every real invested. The same agent ran July and August and kept learning, with cost essentially flat.
An equivalent human operation would need dozens of agent seats, and still would not sustain five attempts per debtor.
Real Talkover client, name withheld under confidentiality. August 2026, month closed. A closed settlement is a negotiation completed with date and amount agreed; paid value is cash already collected.
The layer reads who never replied to WhatsApp, SMS or RCS, queues them by days past due, and calls at the hours that account tends to pick up, evenings and Saturdays included, always within allowed hours.
I did see the messages… it’s just that I’ve been out of work since March and I can’t pay it all at once.
I’m sorry to hear that, Marina. Let’s sort it out while the case is still with me. What if we split it in two, with the first payment only next week?
The agent asks why the payment slipped and answers the actual objection (job loss, payday timing, a disputed amount), always inside the rules your legal team approved.
Deal closed: 2 payments of $37
Pix or a payment link by SMS while still on the line, recorded verbal confirmation, and the outcome in your system, including when the outcome is no, with the reason in the customer’s words.