Revolut PRAGMA: The Foundation Model for Money
Artikel konnten nicht hinzugefügt werden
Der Titel konnte nicht zum Warenkorb hinzugefügt werden.
Der Titel konnte nicht zum Merkzettel hinzugefügt werden.
„Von Wunschzettel entfernen“ fehlgeschlagen.
„Podcast folgen“ fehlgeschlagen
„Podcast nicht mehr folgen“ fehlgeschlagen
-
Gesprochen von:
-
Von:
Über diesen Titel
In this episode of the Macro AI Podcast, Gary Sloper and Scott Bryan unpack Revolut PRAGMA, one of the clearest signals yet of where fintech and AI-native banking are headed.
PRAGMA is not a chatbot or a simple banking app feature. It is better understood as Revolut’s financial intelligence layer — a foundation model designed to understand customer behavior, banking events, risk patterns, product engagement, and how people actually move money. Gary and Scott explain how PRAGMA differs from AIR, Revolut’s customer-facing AI assistant, and why the real story is not just conversational banking, but the deeper intelligence engine underneath it.
The discussion breaks down how PRAGMA treats financial activity as a sequence of events: salary deposits, card transactions, currency exchanges, subscription payments, stock trades, product clicks, and fraud signals. When organized over time, these events become something like a financial language that can help support fraud detection, credit scoring, product recommendations, customer engagement, and more.
Gary and Scott also explore why this matters for business leaders beyond fintech. PRAGMA shows that AI advantage is shifting from generic tools to proprietary intelligence built on domain-specific data. Revolut’s model highlights the power of usable data, shared AI infrastructure, agentic user experiences, and governance.
The episode also covers PRAGMA’s limitations, including why anti-money laundering often requires graph intelligence rather than only customer event histories. The broader takeaway: AI-native finance will likely combine sequence models, graph models, language models, anomaly detection, rules engines, and human review.
For banks, fintechs, and enterprise leaders, the message is clear: AI is moving from feature to infrastructure. The future competitive advantage may not be the app, card, branch, or product menu — it may be the intelligence layer that understands every customer, every event, every risk signal, and every opportunity in real time.
Send a Text to the AI Guides on the show!
About your AI Guides
Gary Sloper
https://www.linkedin.com/in/gsloper/
Scott Bryan
https://www.linkedin.com/in/scottjbryan/
Macro AI Website:
https://www.macroaipodcast.com/
Macro AI LinkedIn Page:
https://www.linkedin.com/company/macro-ai-podcast/
Gary's Free AI Readiness Assessment:
https://macronetservices.com/events/the-comprehensive-guide-to-ai-readiness
Scott's Content & Blog
https://www.macronomics.ai/blog