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SPF Private Clients offers HTB AI mortgage adviser

SPF Private Clients has introduced an IBM Watson Assistant-powered AI mortgage adviser that specialises in help-to-buy.

The system, Ava, offers 24/7 advice for queries and a mortgage indication in just three minutes, according to the firm.

The mortgage adviser can provide a decision in principle in 15 minutes and connect a customer to an adviser for a full mortgage recommendation in 30 minutes, adds the firm.

It adds that the AI mortgage adviser answers customer questions, processes enquires, and verifies personal details and documentation. Furthermore, SPF says, the system offers a hybrid human chat solution by analysing tone and confidence in client message. It will also use machine learning to improve as time goes on.

As customers ask Ava new questions, the system will alert an adviser who can answer the question for the client; Ava will then remember the question to answer directly when it is next asked, according to SPF Private Clients.

SPF Private Clients digital architect Freddie Savundra comments: “Lots of people want help understanding how much they can afford through the HTB scheme and how each stage of the mortgage application process works.

“Combining live and bot chat allows us to elevate the client experience and manage a number of different client scenarios within one user-friendly interface.”

Watson and Cloud Platform, IBM UK and Ireland channel leader Richard Voaden adds: “With the increasing digitisation of the mortgage market and more people seeking mortgage information and application processing online, Ava simplifies the house buying process.”



SPF Private Clients buys GI and pensions advice firm

SPF Private Clients has acquired general insurance and pensions advice firm Wiltshire & Co for an undisclosed sum. As part of the acquisition, all four Wiltshire & Co advisers will continue to work at SPF, with no redundancies made. The purchase means SPF’s general insurance and wealth management offering now accounts for 35 per cent […]


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