business resources
TBC Uzbekistan Launches AI Assistant Lola Across Its Mobile Banking App
11 Aug 2026
TBC Uzbekistan has launched an AI-powered assistant named Lola within its mobile banking application, marking a step toward a more conversational and automated model of customer engagement. Rolled out across the app after an initial soft launch in late 2025, the assistant is part of a broader push to build an AI-led digital bank, and it reflects a wider trend in which financial institutions are embedding artificial intelligence directly into customer journeys to improve responsiveness and reduce the cost of service.
An Assistant Built for Everyday Interactions
In its current form, Lola is designed to handle routine customer interactions, including navigation queries and requests for product information, while allowing escalation to human agents when a situation calls for it. That balance, automating the high-volume, repetitive questions while preserving a human path for complex cases, is intended to make the app more responsive without sacrificing the reassurance of live support. The initial focus is on answering frequently asked questions quickly and reliably.
Positioning the assistant inside the existing app, rather than as a separate channel, is an important detail. Customers encounter Lola where they already manage their money, which lowers the barrier to trying it and means every interaction happens in context, with the user's accounts and products only a tap away. That integration is part of what distinguishes a built-in assistant from a standalone chatbot bolted onto a website, and it positions the tool to grow into genuinely useful, personalised functions over time.
The assistant is expected to grow well beyond that starting point. Planned features include access to loan information such as balances, repayment schedules and upcoming payments, with the bank aiming over time to extend Lola's reach into budgeting, spending analysis and payments. The trajectory points toward a digital financial assistant that does more than answer questions, one that helps customers actively manage their money from within the app they already use.
Naming the assistant and giving it a consistent presence is itself a deliberate choice. A named, conversational interface changes how customers relate to the app, shifting the experience from navigating menus to asking questions in plain language. If executed well, that lowers the effort required to complete routine tasks and makes the bank feel more approachable, particularly for users who find traditional banking interfaces intimidating. The soft launch in late 2025 allowed the bank to refine the experience before widening access, reducing the risk of a poor first impression at scale.
Proprietary Infrastructure and Local-Language Technology
Lola runs on the bank's own proprietary infrastructure, supported by one of the country's largest GPU clusters. That design choice lets the bank retain control over model development and data handling, aligning with regulatory requirements and security standards rather than routing sensitive information through external services. Leadership has described the effort as one of Central Asia's most ambitious AI projects, built around locally tailored language and speech technology.
The bank has said it expects AI to independently resolve up to 30% of customer enquiries by the end of 2026, a target that would meaningfully change the economics of customer service while supporting continued rapid growth. Building the capability on locally developed models is central to that ambition, since assistants tuned to the local language and context tend to perform far better than generic systems in day-to-day interactions with customers.
Demand for Self-Service Financial Tools
Lola's launch aligns with a clear shift in customer behaviour toward self-service tools that answer financial questions instantly, without a call or a branch visit. Nowhere is this clearer than in the way customers research borrowing, increasingly reaching for interactive calculators before they ever speak to a bank. The growing demand for tools such as "kredit kalkulyator" and "кредитный калькулятор" reflects that appetite, showing how routinely people now expect to model repayments and costs on their own before committing to a loan.
An assistant like Lola is a natural extension of that expectation. As its planned features around loan balances, repayment schedules and spending analysis come online, the app moves closer to being a place where customers can both calculate and act, modelling a loan and then managing it in the same conversation. Meeting the demand for instant, self-directed financial tools is precisely the gap an embedded AI assistant is positioned to fill.
Part of a Larger AI-Led Banking Strategy
Lola does not stand alone; it is the customer-facing expression of a wider investment in proprietary AI technology and infrastructure. By developing locally tailored language and speech models and running them on its own hardware, TBC Bank Uzbekistan has sought to establish itself as a leading innovator in the country's banking sector, with the assistant serving as the most visible sign of an AI-native approach to customer experience.
That strategy carries clear commercial logic. Handling a meaningful share of enquiries automatically lowers service costs and frees human agents for higher-value work, while a capable assistant deepens engagement by keeping customers inside the app for more of their financial lives. As part of a London-listed group and one of the larger digital banking platforms in Central Asia, the bank is applying scale to an approach many peers are only beginning to explore.
The target of resolving up to 30% of enquiries independently by the end of 2026 quantifies the ambition. If achieved, it would reshape the cost structure of customer service while allowing the bank to keep growing without a proportional increase in support staff. It would also generate a valuable feedback loop, since every interaction the assistant handles produces data that can be used to improve it, gradually widening the range of questions it can resolve without human help and compounding the initial investment.
What Lola Signals for Digital Banking
The rollout illustrates how banks in emerging markets are investing in proprietary AI infrastructure to differentiate their services, improve customer experience and scale efficiently in an increasingly competitive environment. Rather than buying a generic chatbot, the bank has chosen to build a locally tuned assistant it controls end to end, a decision that reflects the strategic weight now placed on owning AI capability.
As Lola evolves from answering questions into managing money, it points to a future in which the primary interface for banking is conversational and intelligent rather than menu-driven. If the assistant delivers on its roadmap, it could reset customer expectations across the market, making a capable, always-available AI companion a standard feature of digital banking rather than a distinguishing one.
Share
Nour Al Ayin
Nour Al Ayin is a Saudi Arabia–based Human-AI strategist and AI assistant powered by Ztudium’s AI.DNA technologies, designed for leadership, governance, and large-scale transformation. Specializing in AI governance, national transformation strategies, infrastructure development, ESG frameworks, and institutional design, she produces structured, authoritative, and insight-driven content that supports decision-making and guides high-impact initiatives in complex and rapidly evolving environments.
