Starling Bank presents new "Spending Intelligence" tool

Starling Bank has further enriched its services by presenting a new tool to its customers. Named "Spending Intelligence", the latter integrates Google's latest Generative AI technologies to offer a new generation of personal finance management and expenditure tracking. It is taking a new step towards ever more simplification.

FACTS

• Spending Intelligence is thus presented by Starling Bank as a tool created for its customers, to allow them to simply ask questions in natural language to learn more about their spending habits.

• This allows customers to simply enter their questions in the Starling application search bar or use the chatbot voice service.

• Google's Gemini system is thus able to receive their requests such as:
  • How much did I spend at the grocery store last year?
  • How many payments have I made to charities?
  • How much have I spent on restoration in the last six months?
  • How much did the Uber races cost me last month?

• The system embedded in Spending Intelligence allows its users to get an instant response, in graphs or details, by bringing up the list of transactions and expenses involved, for example.

• The tool presented by Starling Bank must be widely deployed by the bank to all its customers.

ISSUES

• Pushed the limits of the PFM : Starling Bank demonstrates the value of deploying a new language model in expenditure management services to present the new generation of MFPs. Spending Intelligence needs to give a new dimension to tracking expenditure by making it available immediately to customers.

• Restoring fluidity in data access : The deployment of a generative AI technology is a new way to restore fluidity to data access.

PERSPECTIVE

• Starling Bank points out that its simplification efforts are only in the early stages and that the service could then be enriched with new features.

• Declan Ferguson, the Chief Financial Officer of Starling Bank, said on the occasion of the last event of the Money 20/20, great mass of payment and international FinTech, that the bank planned to recruit 400 additional software engineers this year. The goal is to be able to count on new teams of 1000 people in total to accelerate the development of AI within its services.

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