Promises Kept, Payments Collected.
This AI agent monitors customer promises to pay, sends reminders before the promised date, and automatically flags or escalates cases if a promise is broken.
The Problem
Problem Solved:
Manually tracking numerous promises to pay, sending reminders, and following up on broken promises is a significant administrative burden for collection teams and can lead to missed follow-ups.
Key Features & Benefits
Key Features & Benefits:
- Improved Adherence to Promises: Gentle reminders increase the likelihood of payment.
- Proactive Follow-Up: Ensures broken promises are addressed quickly.
- Reduced Manual Tracking: Automates a key part of the collections workflow.
- Predictive Capability: ML can potentially predict the likelihood of a promise being kept, allowing for preemptive action.
How It Works
How It Works:
RPA is used to log promises-to-pay into the system and schedule reminders. It monitors payment receipts against these promises. Machine Learning (ML) can be optionally used to analyze patterns and predict the likelihood of a promise being honored, allowing collectors to prioritize follow-ups on high-risk PTPs.
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