A company specializing in debt collection 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 outstanding payments, a process that required resources and limited efficiency, which led them to look for another solution.
The challenge
The traditional recovery process required a high volume of human agents who spent hours on repetitive tasks:
Contacting clients with outstanding payments.
Validating their identity before discussing the debt.
Manually recording each client’s responses.
This generated high operating costs and little 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 during the same call.
Validates the data by requesting confirmation of information before proceeding 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 succeeded in standardizing interactions, providing traceability for each call, and freeing up staff to focus on cases that truly require personalized intervention.
The impact
With Ringr, the recovery company achieved:
Multiply the volume of daily calls, without the need for more staff.
Reduce management times by automating initial contacts.
Improve the traceability of the collection process, with results organized by type of interaction.
