A company specialized in debt collection for insurance companies and financial entities needed a more efficient way to manage debt portfolios.
Previously, the company manually managed thousands of monthly calls to customers with outstanding payments, a process that required resources and limited efficiency, which led them to seek another solution.
The challenge
The traditional recovery process required a high volume of human agents who spent hours on repetitive tasks:
Contact clients with pending payments.
Verify their identity before discussing the debt.
Manually record the responses of each client.
This generated high operational 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 outbound calls to clients with outstanding payments.
Automated collection informs the client of their debt situation and proposes to regularize it on 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 was able to standardize interactions, provide traceability to each call, and free 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 the initial contacts.
Improve the traceability of the collection process, with results organized by type of interaction.
