Enterprise Tech Revolut Is Building An AI Brain For Banking, And It Could Change Finance Forever By Bernard Marr ,
--:-- / --:-- This voice experience is generated by AI. Learn more . This voice experience is generated by AI. Learn more . Summary Revolut is pioneering a unique AI strategy in banking with its proprietary foundation model, PRAGMA, designed to understand financial behavior holistically. Unlike competitors using fragmented AI tools, PRAGMA integrates all customer interactions—transactions, app usage, investments, and support requests—into a single connected system. This unified approach significantly boosts fraud detection by 64.7%, enhances credit risk prediction by 16%, and improves product recommendations by 41%. Powered by NVIDIA GPUs, PRAGMA scales to serve 70 million users, allowing insights from one function to improve performance across the entire customer journey. This strategy fosters organizational agility, enabling personalized services and advanced agentic AI, setting a new standard for enterprise AI in finance.
As banks race to turn AI from isolated tools into enterprise-wide intelligence, Revolut's PRAGMA model offers a glimpse of where digital banking and financial services may be heading next. Adobe Stock Revolut is taking a very different approach to AI in banking.
While many financial services companies are using off-the-shelf AI tools or building separate models for fraud, credit risk and customer service, the UK-based digital bank is developing its own foundation model designed specifically for finance. The idea is not simply to apply a language model to financial data, but to teach AI to understand financial behavior itself.
Its proprietary model, PRAGMA, treats transactions, customer interactions, app usage, investments, bill payments and support requests as signals within one connected system. Instead of looking at each banking function in isolation, it learns patterns across the entire customer journey, creating a single AI foundation that can support fraud detection, credit decisions, product recommendations and customer service.
Financial services are quickly becoming one of the most important proving grounds for enterprise AI. The industry has vast amounts of structured data, repetitive processes, complex risk decisions and heavy compliance demands, all of which make it fertile territory for intelligent automation.
Revolut’s approach offers a glimpse of where business AI strategies are heading next. For businesses, the next stage of AI is about moving beyond isolated workflow improvements and creating the foundations for intelligence to build across the entire organization.
As financial services institutions have started working with AI, the usual practice has been to develop separate tools, models and processes for required functions, each requiring its own engineering, training data and maintenance procedures.
Revolut has replaced this stack with a single shared foundation model trained on 40 billion events and interactions with 25 million users.
This means it can learn behavioral patterns across the entire customer journey: app and website use, transactions, trading and investing activity, and payment of bills and subscriptions.
It reports impressive results. PRAGMA has delivered a 64.7 percent improvement in detecting and stopping fraud, a 16 percent increase in credit risk prediction performance, and is 41 percent more effective at recommending relevant products.
On the techn…