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?

Here’s my advice for 2019 in a nutshell: With IFRS 9 impacts and €780 billion of NPL in Europe alone, stop reading about AI and start thinking about optimization.

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?

Organisations will benefit from standing back from the BAU and determining how their analytics and technologies, which identify and support the management of distressed customers, need to change to ensure they secure that competitive advantage.

Are we making the progress we want to see — and regulators demand — on non-performing loans (NPL)?

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?

In this uncertain environment, are retailers doing enough to manage the vast amount of “tick” consumers have amounted?

The UK’s Financial Conduct Authority desperately wants to help 3+ million borrowers get out of persistent debt — but will the fixes work the way they want them to?

Last year saw collectors making plans to deal with new regulations, as were their colleagues throughout banking. It’s no surprise then that the most popular collections posts on the FICO Blog dealt with getting ready for IFRS 9 and GDPR.

In 2017, collections professionals were pulled by regulations, digital transformation, customer demands and new ways of working. Will 2018 be better?