A specialized training group, faced with a growing volume of students with unpaid fees, decided to take it a step further: proactively activate payment or a date commitment through automated calls, without overloading the team or compromising the student experience.
With Ringr, the organization found a way to reduce delinquency without adding a burden to operations.
Outbound
1 in 3
contacted students reached a conversation with Ringr.
24.3%
payment commitment rate on contacted students.
5.6%
of reported payments, identifying already resolved debt not reflected in the system.
The challenge
The organization faced several challenges:
High volume of students with unpaid fees, distributed across different stages of debt and with different due dates.
Insufficient previous multi-channel approach; students were already receiving an email and an SMS with the details to make the payment, but the response rate was insufficient without proactive follow-up calls.
Manual recording of payment commitments, which generated a lack of traceability and made it difficult to prioritize subsequent follow-ups.
Inconsistencies in the information of some cases that required early detection and the activation of internal reviews to maintain data quality.
The solution
With Ringr, they implemented an outbound voice agent that combines early collection with operational support, allowing them to reduce delinquency, prioritize follow-ups, and minimize the manual workload in managing unpaid debts.
This agent:
Makes outbound calls to students with pending installments, informing them of the issue detected in the payment of the corresponding month's installment.
Verifies identity at the beginning of the call before sharing any information about the debt, ensuring the security and privacy of the process.
Informs of the pending amount in a clear and personalized way.
Registers the payment commitment date when the student confirms their intention to pay the debt, generating automatic traceability.
Helps detect inconsistencies in the data or in the payment status, triggering internal reviews that improve the quality of the information.
The organization not only reduced delinquency and freed the team from manual management, but they also discovered that where there is contact, there is a result. Where the system indicated pending debt, Ringr helped identify payments already made, providing operational precision that went beyond collection.
