For years, artificial intelligence in banking has been a talking point—a fixture in strategy decks and innovation labs, but rarely a core operational reality. That is changing, but not where many might expect. Across the Caucasus, Central Asia and parts of the Middle East, a number of lenders are moving AI from experimental pilots into the very infrastructure that powers their daily business.
While large European and North American banks often struggle with layers of legacy systems built up over decades, some emerging-market institutions face fewer structural barriers. The International Bank of Azerbaijan (ABB Bank) illustrates how this agility can translate into rapid AI adoption at scale.
From pilots to production
ABB Bank is not treating AI as an add-on. The Baku-based lender has embedded artificial intelligence across its operational infrastructure, combining automation with human-in-the-loop controls to maintain governance. Internal teams have delivered multiple proof-of-concept projects that show measurable efficiency gains and faster delivery times.
Today, ABB Bank runs more than 180 AI models across 86 use cases. Over the past three years, the bank reports that AI-linked initiatives have generated AZN 50 million (€25.8 million) in value, while roughly 90 percent of its operations have become paperless. The bank is also developing its own local large language models and investing in computing infrastructure, including Dell GPU servers built on NVIDIA's HGX B200 platform.
This approach contrasts with the more cautious, pilot-heavy strategies common among many European lenders. As Europe's hiring mismatch shows, the continent's financial sector is still grappling with how to align talent and technology for an AI-driven market.
Redesigning banking around customer behaviour
Customer expectations are shifting rapidly, especially in markets where mobile banking has become the dominant interface. ABB Bank is using AI to push beyond traditional banking services, connecting financial capabilities directly with real-world experiences such as shopping, travel and entertainment through seamless e-commerce wallets and intelligent booking tools.
In 2025, the bank launched two conversational AI assistants, AI-nur and AI-khan, which allow customers to carry out banking operations through natural-language voice commands rather than navigating traditional menus. Since their launch, the assistants have facilitated more than 4 million interactions, handling card management, mobile payments and personal finance analysis based on spending patterns.
The same logic extends to operational communications. ABB Bank has introduced a human-AI hybrid model for payment collection, using automated voice calls and escalating complex cases to human specialists. This reflects a broader direction for digital banking, where conversational AI becomes a crucial operational layer rather than just a support tool.
A rapidly digitising regional market
The speed of digital transformation across parts of the Caucasus, Central Asia and the MENA region has created conditions that differ markedly from more mature banking markets. Rapid digital adoption in countries such as Azerbaijan and Uzbekistan has pushed local banks to modernise quickly around mobile platforms, automated services and AI-enabled operations.
Without the same legacy constraints, these banks have been able to adapt more quickly to changing customer behaviour and digital-first banking models. While questions around governance, transparency and responsible AI deployment continue to shape the global banking sector, regional leaders are increasingly offering examples of how AI can be embedded into operational infrastructure at scale.
For ABB Bank, integrating AI-driven 'Beyond Banking' services aligns with broader aims to redefine the boundaries of a modern super-app, transitioning from a financial tool to a comprehensive lifestyle companion. Whether European banks can match this pace remains an open question—one that will depend on their ability to shed legacy systems and embrace AI not as a pilot project, but as a core strategic priority.
