Written by someone who sits in the meetings
the stories are about.

BankingNewsAI is built and run by a VP of AI at one of the largest US banks, in a personal capacity. I read regulator letters, vendor decks and model-risk findings for a living, and this is the brief I wanted to receive: six stories a morning, chosen for what they change at a bank, not for how loud they were.

My name is not on the site because my employer's views are not mine and mine are not theirs. Nothing here draws on anything internal; every claim links to a public source, and the bank profiles are built only from the public record. The vantage point is the point: the reader named at the top of each story is a colleague I can picture, and the action at the bottom is something I would put in a ticket.

Less is worth more, if the less is actually right.

The daily brief. Three stories on AI at banks, regulators and fintechs, three on the models and vendors behind them, in your inbox by 7 am ET. Each one names its reader, states a take, links its source and ends with an action. Every issue is public in the archive.

The AI Regulation Tracker. Nineteen authorities, from the Fed, OCC and CFPB to the EU AI Act, ECB and PRA, and every document that matters, each dated, summarised and linked to the official text, with deadlines ahead, a compliance checklist and what regulators are warning about. Reviewed weekly.

The AI strategy of the 120 largest US banks, and of 20 major global banking groups. Platforms, use cases, leaders, numbers and the regulators each answers to, from the public record, refreshed every two weeks.

AI agents in a bank. The control plane, the lifecycle gates and what supervisors have said, plus a build map that turns ten answers into a design brief. Two hubs map AI governance and AI fraud detection to the rules. If you are new to all of it, start with the executive briefing.

Every morning a pipeline I built for this reads about sixty feeds and two search indexes: the banking and payments trade press (Banking Dive, ABA Banking Journal, Finextra, PYMNTS, Payments Dive, Bank Policy Institute, RegTech Analyst and others), the regulators' own newsrooms (Federal Reserve, OCC, FDIC, SEC, CFTC, Treasury), bank and vendor press releases, and the AI labs. An AI model reads each candidate in full, drops paywalled teasers, consumer-app funding rounds, benchmark wars and opinion pieces with no new data, and drafts the six stories against fixed rules: a direct banking connection or a genuine shift in the landscape, a source anyone can open, a named reader, an action.

The tracker and the bank profiles are kept by the same machinery, on a schedule, with a validator that refuses unofficial sources, unlinked claims and unknown documents. I set the rules, read what ships, and fix what is wrong. When a story is framed badly or a document is missing, tell me and it gets corrected.

A story we missed, a deployment you would like covered, a document the tracker should have, a framing you disagree with: email help@bankingnewsai.com. A person reads every message and answers most of them.

Gotta run to a meeting. See you at 7 am.