Operations team at their screens in an open office

Retail banking
From one offer for everyone to one customer at a time

Retail banks still run on broad segments and standard products. Digital channels widened their reach, but most customers still get the same savings account, the same card offer, and the same advice, whatever their situation.

AI changes the unit of work from the segment to the customer. Predictive models spot what each customer needs before they ask. Generative AI turns that into guidance a customer can act on. Agents carry a journey from application to approval without handing it back to a person at every step. You serve millions of customers the way a private banker serves one, on infrastructure you control.

9 use cases

Account opening and card issuingAI models that predict which account or card fits each applicant, check credit risk in real time and flag likely drop-off during digital onboarding.Buy now, pay later (BNPL) credit riskMachine learning scores buy now, pay later applicants at checkout using bureau and alternative data, sets a limit they can afford, and gives a reason for every decision.

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One platform. Complete sovereignty. Measurable results.

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Retail bankingFrom one offer for everyone to one customer at a time

One platform. Complete sovereignty. Measurable results.

Retail banking
From one offer for everyone to one customer at a time