Digitalization and artificial intelligence will radically change retail banking. What does this mean for banks?

Contact data quality in debt collection can make or break your success — here are best practices for improving it

Machine learning is powerful, but beware of solutions that promote it as a magical ingredient

If you're pursuing branch collections, use your branch staff as wisely as you use your core collection team - and that means automation

Automated communications tools can help customers get payment relief faster

Here's how decision optimisation can improve cardholders' strategies to comply with persistent debt regulation and help consumers meet their credit burdens.

A key component of stopping fraud, waste and abuse is to focus on your most productive targets: Who or what should be the focus of your payment integrity program?

Debt restructures are challenging in markets with increasing interest rates, as many organisations impose policy restrictions that virtually prevent reasonable restructures.

AI and machine learning have become popular concepts in payment integrity. But how can they help reduce your losses to health care fraud, waste and abuse?

Loan restructure optimization uses mathematical optimization to identify which customers should receive a restructure of...

Given the negative impact of fraud, waste and abuse on health care, it’s in every payer’s interest to focus on these problems. 

So how does a health care payer measure success in payment integrity? How much is enough?