Traditional AI governance assumes a model produces an output that a person reviews. Agentic AI can retrieve data, call tools, update records, route cases, and execute multiple steps before a human sees the result. The auditable unit is no longer one model output. It... View
SR 26-2 replaces long-standing US model risk guidance with a more explicitly risk-based and proportionate approach. It is expected to be most relevant to institutions above $30 billion in assets, but may also matter to smaller banks with significant model exposure.... View
Banks can launch dozens of AI projects without becoming AI-first. Enterprise advantage appears when deployments share an architecture for data trust, model trust, system trust, and outcome trust. This foundation lets intelligence move from the edges into core... View
Enterprise data quality controls tell a bank whether a dataset meets general standards. AI decisions need a more granular answer: whether the specific evidence retrieved for this customer, transaction, question, and moment is fit for this purpose. Query-level... View
AI-enabled core banking is not simply a faster core with models attached. It introduces an inference layer that assembles context for a customer, transaction, or decision at run time. This shifts architecture, data governance, testing, and accountability from... View
The Prioritization Framework for Banking Technology Leaders Half the US banks in one 2026 survey have already deployed generative AI. The harder question for AI in banking now is which use case earns the next budget line, and which one will still be defensible when an examiner asks how it reached a decision. The Defining […]
In April, US bank regulators rewrote model risk guidance for the first time in fifteen years, and wrote agentic AI out of it. A model gives you an estimate. An agent gives you an outcome. That difference sounds small until you watch it happen in a bank. A card dispute agent reads a customer complaint, […]
When your payment-repair agent releases a held transaction, could you show which version of which procedure it applied, and who owns that procedure? AI agents need more than access to banking documents. They need a living, governed model of how the bank works. IN BRIEF An enterprise knowledge fabric is a governed, living digital twin […]