Automation isn't just nice to have anymore—it's essential. Financial institutions are under pressure to serve clients faster, manage risk more effectively, and reduce operational costs. Yet too often, the path to value gets slowed by fragmented tools, endless integrations, and complex compliance reviews. 

The mortgage industry is evolving at a rapid pace. Borrowers demand faster, more seamless digital-first experiences, and lenders face mounting pressure to adapt. With loan abandonment rates exceeding 75% at critical process stages, the stakes have never been higher.

The banking industry stands at a critical inflection point. As we advance through 2025, artificial intelligence has evolved from experimental technology to a strategic imperative reshaping how financial institutions operate, serve customers, and manage risk.

The financial services landscape is on the brink of a significant transformation, driven by the rapid integration of artificial intelligence (AI). From streamlining operations to enhancing regulatory compliance, AI is reshaping how banks and financial institutions approach lending, offering a competitive edge in a challenging environment.

How can brokers get their risks to the top of an underwriter’s inbox?

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.

ThinCats, a leading alternative finance provider supporting mid-sized SMEs across the UK, has achieved remarkable digital transformation through its five-year partnership with nCino.

The building society sector continues to demonstrate remarkable resilience and momentum, accounting for 72% of mortgage market growth between April and September 2024.

Ashleigh Gwilliam from nCino provides his guidance on the future of networks in the insurance industry.