Lead. Loan. Closed loan. These three primary customer service objectives across originations and servicing ultimately drive all tech stack strategy.

POS and AUS systems have made big strides solving for data stuck in docs since 2020, but how far are we and where do we need to go?

Credit and listing triggers are standard practice, but that's just the beginning.

The rise of AI will only serve U.S. consumers well if bias is removed from algorithms.

When will multiple consecutive quarters of negative lender profitability finally end?

Our industry has mostly relied on loan officer (LO) sales to acquire, nurture, and close new customers, but does this remain relevant as customers increasingly begin journeys digitally and self-serve?

AI deep fakes in pop culture go viral, but how do we ensure this fraud doesn't infect mortgage underwriting?

Thanks to many trailblazers, more women lead every key role across mortgage originations and servicing, from finance and capital markets to sales and servicing to underwriting and processing.

Growth isn't just about product mix, it's about aligning your salesforce with changing home buyer and owner demographics as well as housing diversity objectives from regulators.

AI is highly hyped but operationalizing it safely in mortgage must go beyond the hype.

The women who put up top production numbers in a mostly-purchase market have proven processes for finding productive realtor partners and keeping pre-approved borrowers engaged during long home shopping journeys.

Every year, more lenders get to customers before realtors, so how do lenders retain pre-approved borrowers and increase closing rates on purchases?

Of all the relevant mortgage AI use cases, underwriting might be the most impactful because it represents speed for customers and lenders and safety and uniformity for housing finance overall.