A company specialized in the collection of debts for insurers and financial entities needed a more efficient way to manage debt portfolios.
Previously, the company manually managed thousands of monthly calls to clients with pending payments, a process that required resources and limited efficiency, which led them to seek another solution.
Outbound
+45%
of recovered debt.
Reduce management times by automating the first contacts.
Improve the traceability of the recovery process, with results organized by type of interaction.
The challenge
The traditional recovery process required a high volume of human agents who spent hours on repetitive tasks:
Contacting clients with pending payments.
Validating their identity before discussing the debt.
Manually recording each client's responses.
This generated high operational costs and low standardization in results management.
The solution
With Ringr, the company implemented an outbound voice agent specialized in debt collection.
Its operation combines actions such as:
The agent makes outgoing calls to customers with pending payments.
Automated collection informs the customer of their debt situation and proposes to regularize it in the same call.
Validates the data by requesting confirmation of information before continuing with the process.
Records and classifies each call according to the outcome of the interaction, ensuring traceability and order throughout the process.
In this way, the company managed to standardize interactions, provide traceability to each call, and free up staff to focus on cases that truly require personalized intervention.
