Banks

Banks are under growing pressure to make faster, more accurate credit decisions, whilst managing risk exposure and improving customer outcomes.

Now more than ever, banks need to focus on customer affordability.

In the high-stakes world of commercial lending, timing is everything

Every year, lenders are missing out on millions in bookable lending from viable borrowers who were either rejected or approved but didn’t take up offers.

For decades, banks have been navigating the crucial decision of whether to build lending platforms in-house or buy an external vendor solution.  

Small and medium-sized enterprises (SMEs) are the lifeblood of the UK economy, yet they’re locked out of critical funding.

The latest CMA business banking survey has dropped some serious insights, and we're excited to share what's happening in the commercial banking world.

Artificial Intelligence (AI), Machine Learning (ML) and robotic process automation (RPA) are shaping the future of the lending industry, enabling lenders, both traditional and alternative, and other financial institutions to improve efficiency and reduce costs. But AI can do much more than automate processes and boost efficiency.

The principal finding of the inaugural report of the CFIT Open Finance Coalition was that substantially more lending could be made to small businesses, and significant increases in lending acceptance rates made possible, with the timely provision of more high-quality, reliable data to lenders.  

Let’s put it out there right from the start, your Customer Lifecycle Management (CLM) journey has become increasingly complex, expensive, and difficult to navigate.

Recent sentiment shows that SMEs are feeling more optimistic about their prospects in 2025.