Banking + Payments

Why general LLMs struggle in regulated finance and how Titan’s banking-native SLMs deliver auditability, explainability and deployability for compliant AI.

Bank of England and PRA outline a risk-focused, pro-innovation approach to AI in finance. Read a concise briefing on implications for banks, fintechs and developers.

AI amplifies the need for continuous availability. Strategies for banks to build resilient architectures, reliable data delivery, and meet regulator expectations in the AI era.

LHV Bank teams with Gradient Labs to pilot agentic AI for retail email support, prioritizing explainability, auditability and clear accountability in a controlled rollout.

Lloyds Banking Group and University of Glasgow begin a four-year research collaboration on agentic AI for software and data engineering, targeting practical gains in banking operations, talent, and industry standards.

How AI is reshaping banking: personalized services, fraud detection, operational efficiency, risk analytics, and practical steps for financial leaders.

Banks that fix fragmented data before deploying visible AI avoid scaled errors, meet compliance, and unlock multi-agentic systems that retain future clients.

A concise executive guide to how AI is reshaping banking: fraud prevention, hyper-personalization, efficiency, strategic priorities and what leaders must plan for next.

How AI is reshaping banking operations, customer experience, risk and compliance, with practical priorities for bank executives and fintech leaders.

Finastra launches a cross-functional AI Centre of Excellence and appoints Chris McClellen as SVP and Group Head of AI to scale generative AI across its banking products.