As merchant acquiring models evolve, fraud management must expand beyond traditional transaction monitoring toward a broader view of ecosystem governance

Merchant acquirers now demand sophisticated onboarding automation, dynamic pricing intelligence, and predictive analytics to win and retain profitable merchant relationships

Improve customer management and reduce losses from check fraud by managing payment hold strategies using analytics

How does progress in artificial intelligence stack up to the FICO credit score model?

Enhance your customer management strategies to boost enterprise revenue through overlimit authorisations

The benefits of active vs. passive use of FICO customer management technology are clear

Blending artificial intelligence, machine learning and domain expertise in the design of credit scores - a video discussion with Agus Sudjianto

After 65 Years, FICO (still) innovates and leads with our software solutions.

How FICO works with telecommunication providers to drive smarter, more personal customer decisions and offers.

Thoughts on personal loans, consolidations and the auto industry.

How FICO works with lenders to improve the automotive lending experience

Banks spend too much time trying to predict things, rather than mapping out how their people, processes, and technology will need to change if they are successful.

I’ve found that the banks that see the best return on their customer acquisition investments tend to be the ones that have also invested appropriately in their collections capabilities

With new customer acquisition costs spiraling out of control and nimble competitors trying to pick off profitable portions of your portfolios, there’s never been a more critical time to invest in customer management.

FICO Scores R&D has empirically investigated potential benefits and risks associated with using some of the latest AI and machine learning approaches for credit scoring.