TOPIC
Agent control planes, deterministic semantic routing, OPA policy gates, immutable WORM audit logs, and the SR 11-7 / SS1/23 model-risk lens that turns autonomous workflows into supervisory-ready evidence.
A six-dimension index scoring agentic AI readiness in banks: autonomy tiers, governance, regulatory evidence, economics, readiness, and global alignment.
An index-style framework for measuring agentic AI readiness in banks, covering autonomy, governance, auditability, reliability, controls, and business value.
A Stanford AI Index-inspired banking infrastructure index for 2026, measuring readiness across agentic AI, quantum-safe security, cloud native resilience, and global wholesale payments.
AI is becoming the operating system of payments in 2026, moving from analytics into fraud prevention, payment repair, routing, liquidity forecasting, compliance screening, and agentic commerce controls.
Agentic payments in 2026 have moved from concept to live transaction. The banking challenge is no longer whether AI agents can initiate payments, but how consent, liability, identity, auditability, fraud controls, and protocol interoperability should work.
Agentic AI has crossed from pilot into production across global banking. 70% of institutions are using it to some degree; only one in five has a mature governance model. Meanwhile, autonomous adversaries are operating at machine speed, the legacy COBOL estate the new systems must interoperate with was written for the batch-processing assumptions of the 1960s, and the EU AI Act's August 2026 high-risk deadline is twelve weeks away. This is the engineering and governance position a bank needs to hold.