FinTech, Agentic AI, Mortgages Brendan le Grange FinTech, Agentic AI, Mortgages Brendan le Grange

The AI sales agent that is helping Indonesians get mortgages, with Ilya Kravtsov (Pillar Lab)

I think where AI excels is in trying to emulate what could be a human interaction.

And, by definition, what we do, and specifically do for mortgages, is dominated by human interaction. Across the world - so we're talking not only about emerging markets, but developed markets as well.

You have mortgage brokers that talk to customers. They do simulations. They explain what the bank offers that they can get approved for, and so on and so forth.

So I think the real need here was how do you bring that human experience into a place where you have thousands of islands and very remote locations and where the people buying properties are not necessarily concentrated around the large cities.

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FinTech, Mortgages, Crypto Brendan le Grange FinTech, Mortgages, Crypto Brendan le Grange

The house that Bitcoin bought, with Josip Rupena

In the world of crypto, a few months can be a lifetime, and, in the most recent few months that’s not been the easiest lifetime, and yet, Milo has just issued its largest single transaction ever: a $12 million crypto mortgage. The demand is real, from high net worth individuals buying homes with Bitcoin to clients tapping home equity to buy more, and, if anything, the recent dips in crypto prices reflect a story of growing resilience rather than one of growing volatility, and that's a very good thing for the industry.

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The service is the collateral, with Neel Juriasingani

Because again, credit scores really don't resonate well for that customer, but the fact that I can access more loans and more services from the bank makes a lot of sense, right?

So, the messaging itself can we change, make it more people friendly, make it more empathetic, again, is is an important factor that we keep working on. So understand the behaviour the formats, the messaging, and then devise and develop a complete strategy around customer engagement, what is the life cycle that we can build? So segment and perhaps micro segment the customer and build optimised life cycles for these micro segments of customers that we are onboarding and all that is to ensure that these people understand their loans make their payments on time?

There shouldn't be any instance where you know we have to limit the access to the device. So the idea is never to reach that hence, how do we use AI and ML to create very effective and efficient life cycles, messaging journeys for these people. So that, you know, the delinquencies are in check.

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