Backbase launched the AI-native Banking OS — the most significant evolution in the company’s 22-year history, establishing a new market category in banking technology.
The Banking OS introduces the Unified Frontline: the operating model for AI-native financial institutions, where customers, employees, and AI agents collaborate as one – across digital channels, front office, and operations.
The launch addresses one of banking’s most persistent structural challenges: fragmentation. Based on insights from more than 120 deployments, Backbase estimates that roughly 80% of frontline banking work happens in the whitespace between systems – the handoffs, coordination, and exceptions no single application owns. It’s the same work banks now want to hand to AI agents, and it’s exactly where agents break. “AI agents need shared context, clear authority, and a unified execution layer,” said Jouk Pleiter, CEO and founder of Backbase. “Without it, adding more AI accelerates the fragmentation it was meant to solve.”
The Banking OS closes that gap. It sits above a bank’s existing systems — cores, payments, cards, risk, CRM — without replacing them. It understands the customer in one shared view, coordinates the work across every system, authorizes every action, and optimizes continuously — learning from every interaction, signal and outcome.
The result is what Backbase calls Elastic Operations: a model in which financial institutions can scale customers, products, and support without increasing headcount, handoffs, or complexity. By aligning every channel, employee, customer, and AI agent on a single operating system, the frontline becomes adaptive, resilient, and inherently scalable. Capacity flexes with demand, the way cloud infrastructure flexes with traffic.
Jouk Pleiter, CEO and founder of Backbase: “Elastic Operations is a state no fragmented bank can match and it’s only possible on a Unified Frontline. That changes the strategic question every bank CEO has to answer in the next five years: can you still afford to run the bank on a fragmented frontline? Can you scale onboarding, credit, and servicing when your employees, your AI, and your customers are all on different systems? The banks that answer those questions now will compound their advantage every quarter. There’s no version of the next decade where a fragmented bank wins.”
A New Operating System for Agentic Banking
Expanding on Backbase’s award-winning architecture, three new layers transform it into an AI-native operating system for banks:
• The Intelligence Layer: Spot risk, revenue, and churn signals weeks before they surface. Fraud patterns forming across accounts. Revenue opportunities hiding in transaction data. Churn indicators emerging weeks before a customer leaves. Every signal becomes an action plan, delivered to the right actor at the right moment.
• The Semantic Layer (Nexus): Every employee and every AI agent now sees the same customer, the same context, the same truth. Nexus turns every customer, account, product, and case into a shared, always-current record. One reality, read from and written to by every actor in the bank.
• The Authority Layer (Sentinel): Enterprise AI that a regulator can trust. Sentinel decides what each actor – customer, employee, or AI agent – is allowed to do. Every action gets checked against bank policy before it executes. Every action gets logged. Trust can be revoked at any time, in any domain.
Proven at Scale
Backbase surpassed $350 million in revenue in 2025 and serves over 120 financial institutions across 50 countries. The company was bootstrapped to a €2.5 billion valuation before raising its first external capital from Motive Partners in 2022. Major deployments include Navy Federal Credit Union, TD Bank, Techcombank, Standard Bank Group, Eurobank, and Keybank.
The AI-native Banking OS is available through Backbase’s global operations and partner network.
