The solution has been created using Consectus’ RPA software.

Due to challenges with optimising their core banking platform’s APIs, Darlington had been manually re-keying mortgages completed through Iress’ MSO software into their banking platform, and an increase in lending volumes has meant that this manual process is no longer viable. In collaboration with Darlington, Iress approached Consectus to design and build a RPA tool to automate this task. The RPA tool can be customised to work with any core banking solution, providing a robust alternative when core banking APIs are not readily available.

Iress’ chief executive of Mortgages, Andrew Simon said: “While APIs tend to be today’s normal method of integration, it’s not always possible to use them. Until now, each mortgage application needed to be manually keyed onto Darlington’s core banking platform, and clearly that’s hugely inefficient, as well as increasing the risk of errors. The solution we’ve created in partnership with Consectus has saved Darlington considerable time and cost. It’s also been created in a way that’s easily transferable to other lenders and other core banking systems. We’re proud to have helped bring a truly innovative solution to market.”

Darlington Building Society’s chief operating officer, Chris Hunter, said: “The implementation of Iress’ MSO software in January 2022 has been a huge success for Darlington. It’s made the front office mortgage underwriting processes more efficient and, as a result, we are seeing record levels of new mortgage applications. As these applications are now moving through to completion, the Society needed a scalable solution to move the cases to the back office. This solution means we’re able to see the benefits of mortgage technology investments benefit all staff in the end-to-end mortgage journey.”

Consectus’s chief executive Paul D’Ambra said, “We were delighted to work with Iress and Darlington to ensure MSO seamlessly integrates into Sopra Summit through the use of our RPA product. The RPA solution means that Darlington can scale their mortgage business effectively and efficiently through automation.”