Smarter Lending with AI

Automate processes, reduce delays, deliver seamless experiences.

As customer expectations for speed and certainty continue to rise, the lending industry stands on the brink of an AI-driven revolution. In this Money Live webinar, senior leaders from Lloyds Banking Group, HSBC, and Barclays discuss how financial institutions can implement practical AI strategies. The panel explores the balance between automation and risk management, detailing how AI is deployed to streamline document verification, combat fraud, and untangle complex legacy systems.

This session dives into the human element of digital transformation, from upskilling staff to maintaining the “human in the loop” for complex underwriting decisions. This transcript offers a roadmap for building a smarter, faster, and more secure lending ecosystem.

Transcript

Lindley Gooden: Hello, I’m Lindley Gooden. Welcome to our Money Live webinar, Smarter Lending with AI. Lending is on the brink of a revolution thanks to AI-driven innovation. We’ll discuss how AI and automation can optimize the lending cycle.

Esther Dijkstra: I’m Esther Dijkstra, the Managing Director of Intermediaries at Lloyds Banking Group. I look after our mortgage intermediary relationships.

Sarah Stroud: I’m Sarah Stroud. I head up the mortgage strategy at HSBC, focusing on capital utilization for retail lending.

Abdul Qureshi: Good morning, I’m Abdul, part of the Barclays Business Banking Leadership Team.

Chris Bloomfield: Hi everyone, I’m Chris Bloomfield, Field CTO at Hyperscience. I’m responsible for a customer’s technical journey from pre-sales to value realization.

Lindley Gooden: Throughout our time together, feel free to send your questions.

Let’s look at the state of lending and where AI is being effectively deployed.

Sarah Stroud: AI is used throughout the lending lifecycle, from upfront targeting to application processes, supporting underwriting, customer service, and collections.

Esther Dijkstra: It tailors the application journey to ask only necessary questions, making the process more efficient.

Chris Bloomfield: Successful AI projects focus on high-business-value processes. Start small and include human validation to ensure accurate outcomes.

Esther Dijkstra: Partnerships are crucial, not just with tech companies, but with colleagues. Education for staff is vital for making AI work.

Abdul Qureshi: Reducing manual workloads requires focusing on customer experience and understanding the end-to-end journey.

AI can process both structured and unstructured data, enhancing customer experience through faster applications and decisions.

Lindley Gooden: What about complex documentation? How can generative AI assist?

Chris Bloomfield: Using smaller curated language models for specific tasks is effective for extracting relevant information from documents.

Sarah Stroud: Trusting models is crucial in managing risk and adapting workflows based on risk levels.

Esther Dijkstra: It’s essential to upskill staff and leverage historical data to enhance underwriting accuracy and the lending process with AI.

Customer interactions will see improvements through AI, creating personalized experiences tailored to individual needs.

To sum up, the lending sector must focus on enhancing data management and understanding customer expectations to harness AI's full potential.