AIB Overhauls Mobile Banking App With Advanced AI Insights

Allied Irish Banks (AIB) has launched a redesigned mobile banking app powered by advanced data analytics and personalisation capabilities, which it calls its āmost significant change to its mobile channel in over a decadeā.
The phased rollout, beginning at the end of June, represents a strategic shift towards delivering intelligent financial insights. The app leverages machine learning to transform raw transaction data into actionable guidance.
The move comes as customer behaviour data reveals a critical disconnect between engagement and value extraction.
AIBās research shows that 76% of adults in Ireland check their banking app multiple times a week, though 47% rarely use it for financial insights.
This finding highlights the broader industry challenge of translating high engagement into meaningful intelligence.
AIBās response signals a new approach to financial technology, one that combines usability and security with data-driven personalisation within a single ecosystem.
The new app is the result of an 18-month development process grounded in customer collaboration, testing and pilot programmes, which informed everything from navigation to feature prioritisation.
Machine learning algorithms analysed user behaviour patterns to ensure alignment with real needs.
āThis new AIB app is a major step forward in digital innovation and security for our customers, providing the convenience and accessibility of best-in-class banking they can trust, via the phone in their pocket,ā says Geraldine Casey, Managing Director, Retail Banking at AIB.
Chief Operating Officer Graham Fagan adds: āThe app is designed with our customers. Weāve spent a lot of time on customer research and benchmarking where we wanted to get to ā which we have more than achieved.ā
āWeāve tested with customers all the way through, so it really feels like itās been designed in a very collaborative way.ā
Importantly, AIB continues to position digital alongside physical and human channels.
With 170 branches and ongoing investment in in-person support, the bank is maintaining a hybrid service model that reflects customer expectations. 94% of customers say access to human support remains important.
Machine learning closes insight gap
A central pillar of the app is AI-enhanced personal finance insight that transforms transactional data into predictive intelligence.
While checking balances (72%) and making payments (56%) dominate usage today, deeper engagement with data insights remains limited.
The new platform introduces intelligent spending categorisation, merchant-level analysis and personalised insights based on individual user behaviour patterns.
Machine learning algorithms analyse transaction histories to identify spending trends, enabling customers to set budgets and receive proactive recommendations.
This data-driven approach could enable more informed financial decisions by surfacing patterns that might otherwise remain hidden and directly addresses a confidence gap identified in AIBās research: 31% of consumers report low confidence in managing their finances and 24% cite long-term planning as a key frustration.
By embedding AI-powered insights into everyday interactions ā rather than treating them as standalone tools ā AIB says it is aiming to make financial planning more intuitive and accessible through intelligent automation.
Security intelligence and authentication systems
When it comes to AIBās new app, security is positioned as foundational rather than additive.
It integrates passkey authentication, intelligent card controls such as freeze functionality and what AIB describes as ābest-in-class cyber security technologyā.
This likely leverages machine learning for fraud detection and anomaly identification.
āTrust is the foundation of our relationship with our customers and one of the key ways that trust is earned is through technology that is secure, resilient and consistently reliable,ā Graham says.
āThis new app represents a step change in how we build and deliver capability for our customers, moving from point-in-time delivery to a platform engineered for continuous evolution.
āIt allows us to enhance the experience for our customers at pace, respond more effectively to their needs and continue to raise standards even further over time.
āA core priority throughout has been ensuring that this innovation is underpinned by the highest levels of security, resilience and customer protection, reflecting how we manage technology, cyber and fraud end-to-end.ā
Intelligent platform architecture and roadmap
Underpinning the app is a cloud-based, modular architecture designed for continuous delivery and iterative learning.
This infrastructure enables faster deployment of new AI-powered features and data-driven improvements, which are key to maintaining competitiveness in a rapidly evolving landscape where personalisation capabilities could determine market leadership.
Graham adds: āWeāve built a digital engagement platform that sits beneath the app that is designed to enable us to continuously add to it quarter on quarter as we go forward.ā
- 76% of Irish adults check their banking app multiple times a week.
- 47% rarely use mobile banking apps to get financial insights, highlighting an engagement gap.
- 31% of consumers report low confidence in managing their personal finances.
Upcoming enhancements include tools for children and parents, including simplified onboarding and financial oversight.
Savings pots will support goal-based planning with predictive modelling. Expanded everyday banking capabilities will include mortgage management with personalised recommendations.
This platform approach signals AIB’s intention to transition from periodic product updates to an always-on innovation model.
With 55% of consumers using multiple apps to manage their finances, AIB is competing against a fragmented ecosystem that includes fintech challengers and specialist tools.
Its strategy is not to replace every external service, but to consolidate core financial management into a trusted primary interface. This is anchored in intelligent data processing, predictive analytics and integrated support.
Geraldine says: “It’s simple to use, always improving and built with enhanced security, so customers can spend, save and plan with clarity, confidence and control.”



