Resources

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Blogs

Credit risk decisioning in 2025: From manual reviews to smart automation

Explore how modern credit risk decisioning systems process applications in minutes.

Blogs

How the EU’s revised Consumer Credit Directive impacts BNPL

New regulatory requirements are reshaping the EU's BNPL market. Here's how credit decision engines make a difference.

Blogs

Understanding the UK's new BNPL regulations

Explore the role of decision engines in streamlining compliance with the latest regulations for BNPL providers in the UK and beyond.

Insurance couple digital claims processing
Blogs

Simplifying digital claims for a better customer experience

Explore how claims digitalization helps meet customer expectations, cut operational costs, and create stronger customer relationship.

Blogs

How an MVP approach eases the pain of collections software implementation

Let's get honest about some of the common fears around implementing new collections software and how an MVP approach reduces risk for faster time-to-value.

Blogs

The importance of credit risk management: why it matters

This article explains why credit risk management matters. You'll find its core elements, benefits, implementation hurdles, and best practices.

Blogs

Credit risk management strategy: Best practices for strategic risk management

This article walks through tested credit risk management strategies. You'll find everything from basic assessment methods to cutting-edge tech solutions.

Blogs

How top banks build credit risk models: An expert guide for analysts

This article shows how banks create and use credit risk models. Learn about data collection methods, model selection criteria, and testing procedures.

Blogs

Automated insurance claims processing: from manual to two-minute approvals

This article will explore how to turn your insurance claims operation from a slow manual process into an efficient system approving claims in 2 minutes.

calculator-and-notebook
Blogs

Automate regulatory enforcement in collections

Relying on manual checks or static rules is no longer enough. As portfolios grow and delinquency rates fluctuate (especially during economic downturns) staying compliant while maximizing recoveries calls for smarter, more dynamic methods.

Blogs

The impact of automation on credit risk management

The combination of machine learning algorithms, natural language processing, and robotic process automation makes credit decisions quick and accurate.


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