Banking + Payments

Why modern AI clashes with banking regulation, and how banks must shift to continuous, outcome-based assurance under frameworks like the EU AI Act and DORA.

Regulators including the BIS now treat AI in banking as ‘material models’, raising governance, validation and resilience expectations. What this means for financial stability, model risk, third-party dependence and board-level strategy.

AI’s rising energy use can be reframed as a climate opportunity. How banks and investors can deploy capital and tools to cut emissions and manage climate risk.

Explore how AI and machine learning are transforming banking operations, fraud detection, personalization, and customer support, and what comes next.

Physical and agentic AI move banking from digital automation to real-world autonomy. Learn the economic shifts, accountability changes, and leadership priorities.

Finastra finds 98% of banks use AI. Read concise analysis of top use cases, rising security spend, personalization, and strategic steps for financial leaders.

Porters raises €2.7M to automate regulated banking workflows with AI-native, human-in-the-loop systems for seizures, chargebacks and insolvency processes.

Barclays will use AI to reduce £2bn of costs and return more than £15bn of capital by 2028. Quick analysis of where savings will come from and investor implications.

Banks face a regulatory mismatch: AI systems are opaque and non-invertible, while rules demand traceability. Learn the practical steps for continuous assurance and accountable AI use.

Agentic AI offers banks a path to measurable ROI through autonomous agents for credit, risk and compliance. Practical steps for readiness, use case selection and governance.