In early delinquency, cure rates are typically high. Many customers self-cure with minimal prompting.
The key challenge? Delivering just the right nudge, enough to encourage self-cure without draining resources.
AI agents fit perfectly within this frictionless, self-serve journey.
After several successful deployments across diverse lenders, we’ve identified proven, data-driven use cases where AI agents add real value in early delinquency management.
Customers prefer handling financial matters on their own time, often outside business hours. If you’re unreachable or force them through clunky IVRs, frustration builds, and customer experience suffers.
In one deployment, the AI agent converted 10% of after-hours calls into payments, an effortless win for any collections team looking to pilot AI.
Before diving into the next applications, here’re the core capabilities we assume for the AI agent (similar to proAgent):
a. Handles FAQs and account-related queries
b. Collects partial and full payments seamlessly
c. Deep integration with your digital platforms, essential for being fully context-aware of all prior communications with each customer.
For customers on payment plans who slip behind, and when you already have their saved payment details, AI agents can seamlessly:
This creates a smooth, low-friction path back to compliance that’s both efficient and customer-friendly.
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Proactivity reduces roll rates in early delinquency. AI agents can scale personalized reminder calls, especially to consumers who might ignore texts or emails, preventing costly escalations.
In the case of proAgent, powered by Prodigal Intelligence Engine’s unified data layer, it automatically identifies who to contact and when, leveraging machine learning models to detect the optimal window based on each customer’s persona and likely cash flow.
If you’re exploring where AI agent fits in your operations, we’re ready to share insights and help you kickstart your AI agent journey.