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Starling rolls out agentic AI money manager
This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. Starling Assistant, available in the Starling Banking app, uses agentic AI to support customers through voice prompts and natural language processing to manage
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Starling Adds Agentic AI to UK Banking App | PYMNTS.com
By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. The company began rolling out the new Starling Assistant to personal account
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Starling Bank has rolled out Starling Assistant, an agentic AI money manager built with Google Gemini, to personal account customers. The AI-powered tool uses voice prompts and natural language processing to complete banking tasks, set savings goals, and provide personalized financial insights, marking a shift toward conversational banking.
Starling Bank has launched Starling Assistant, an agentic AI money manager that responds to voice and natural language prompts to execute banking tasks autonomously
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. The AI-powered tool became available to personal current account holders on March 20, with plans to extend access to business and joint account users soon2
. Built with Google Gemini and running on the Google Cloud platform, the assistant represents eight years of development aimed at redefining customer experiences in financial services1
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Source: PYMNTS
The introduction of Starling Assistant signals a fundamental shift in how customers interact with their finances. Rather than navigating complex menus, users can now have natural conversations about their money. Graham Drury, director of FSI at Google Cloud in the U.K. and Ireland, emphasized this transition: "We are moving away from clicking through menus and navigating complex apps, toward simply having a conversation about your money"
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.Starling Assistant leverages natural language processing to complete a range of banking operations on behalf of customers
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. The assistant can set up automatic transfers, outline savings goals and budget plans, provide spending insights based on user habits, and answer general banking queries1
. It can even generate interactive quizzes to help users understand their spending patterns or guide them through setting up services like Apple Pay2
.The conversational banking approach enables customers to gain personalized financial insights through simple questions. Harriet Rees, Group Chief Information Officer at Starling, explained: "By asking simple questions, customers can build good money habits and better organise their finances"
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. This capability extends Starling's existing AI initiatives, including the Spending Intelligence tool launched in June that answers questions like "How much did I spend on groceries last week?" and the Scam Intelligence scam detection feature added in October2
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The assistant operates on an opt-in basis, with all data stored in Starling's Google Cloud environment and no customer data used for training purposes
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. This privacy-focused approach aims to build customer trust in AI-driven money management. Harriet Rees stated: "At Starling, we want to encourage our customers to trust that AI can help them with money management, and we're excited to be pioneering the use of this cutting-edge technology to help people be good with money"2
.Raman Bhatia, Group CEO of Starling Bank, highlighted the broader implications: "Generative AI has transformative potential for financial services and Starling is showing what's possible, whether it's protecting people from scams or helping them better understand their spending"
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. The bank plans to continuously develop the assistant, feeding more AI capabilities into this single interface. Rees added: "No idea is too bold right now. From this leading position, we're excited to work with the industry to develop entirely new customer experiences which in time will completely redefine what banks can help customers to achieve"1
. Earlier in March, Banco Santander and Mastercard completed Europe's first live end-to-end agentic AI transaction, suggesting the technology is gaining traction across the banking sector1
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