Dan Mulberry
efficiency ,” says Mulberry .
Currently , machine learning , artificial intelligence ( AI ) and OCR for data conversion are being used for front-end services . However , Envoy ’ s goal is to also utilize these applications for back-end processes .
“ One of the main issues faced within the mortgage industry is the manual processing of multiple statements and third-party data , opening up the possibility for human error . We want to eliminate glitches to increase the integrity of data with automation ,” explains Mulberry .
In recent years , Envoy focused on RPA to integrate its front and back-end systems , which was a “ very beneficial , quick win ” that eliminated manual processes . Since then , Mulberry and Kim Hoffman , Envoy COO , have implemented Cloudvirga , an advanced point of sales system , as part of a two-fold modernisation process of integration and automation . Once fully operational , the system will give customers a powerful self-service option , allowing Envoy to 85
Dan Mulberry
EXECUTIVE PROFILE
Having worked in the mortgage industry for over 35 years , Dan specializes in leveraging technology to maximize efficiency and profitability , while improving customer experience . His expertise extends to technology discovery , process improvement and digital adaptation , while consulting executive leadership teams on industry-leading and forward-thinking initiatives . Dan began his tech career in the finance and capital markets sector and his experience has included running secondary marketing for a top lender , as well as holding various SVP roles strategizing and managing all B2B technology and implementation .
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