Here are the challenges we encountered while developing the application.
Customers did not always pay during the first conversation. When someone promised to pay later, the team had to keep track of the date and follow up manually. With several accounts being handled at the same time, it was easy for a reminder or account update to be overlooked.
DEVtrust implemented a comprehensive solution to address these challenges
RevBridge AI was built with voice agents that can manage both incoming and outgoing customer calls. During a conversation, the agent can verify the customer’s identity, explain the outstanding amount, discuss available payment options, and either collect the payment or record a promise to pay.
The platform brings customer and account details together in one place. Collection teams can view the outstanding balance, previous payments, account status, and related collection activity without switching between different systems.
Once a call ended, the system updated the account with the call result, payment information, customer response, and transcript. This meant the team did not have to enter every detail manually or rely on separate notes.
The dashboard gives managers a straightforward view of their collection activity. They can check campaign progress, call outcomes, payments, promises to pay, and overall performance from one place.
The AI voice agent takes care of many routine calls and follow-ups. This gives collection teams more time to handle cases that require personal attention.
Payment promises are recorded as part of the customer’s account history instead of being managed separately. Automated reminders also help the team follow up before a promised payment date.
Customers could pay during the call using IVR or receive a payment link through SMS. This gave them a quicker way to complete the payment without needing a separate call or manual payment process.
With call records, payments, transcripts, and promises available in one system, managers can review campaign progress without waiting for separate updates.
The AI agent follows the configured campaign approach while still responding to the customer’s situation. This helps create a more consistent experience across collection calls.
Since call outcomes and transcripts are saved automatically, teams can quickly understand what happened during a conversation and decide on the next action
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