Mortgage Tech Virtual 2026

As competition for purchase volume intensifies, lender success increasingly depends on stronger collaboration with realtors, builders, and other referral partners. This session examines how lenders are modernizing data sharing, communication, and lead delivery to improve partner engagement. Panelists will discuss technologies that streamline co-marketing, automate status updates, improve lead attribution, and enable more seamless borrower handoffs. Attendees will learn which tools reduce friction in the referral pipeline, how to evaluate partner-facing platforms, and how greater transparency and collaboration can improve conversion rates while deepening long-term partnerships.

The transition to UAD 3.6 represents a significant operational shift for lenders, AMCs, and appraisers—and a meaningful opportunity beyond compliance. This session examines the challenges organizations face during adoption, including training, system integration, and workflow redesign. Panelists will discuss where implementations commonly stall, how teams are resolving onboarding issues, and what it takes to operationalize UAD 3.6 effectively. Attendees will learn how the standardized data model enables richer analytics for property insights, risk assessment, quality control, and portfolio intelligence, and how leading organizations are using it to drive both operational and strategic growth.

With budgets under pressure and market conditions remaining volatile, accurately measuring the return on technology investments has become a strategic priority for mortgage lenders. This session explores how organizations are evaluating business impact using KPIs such as cost per loan, pull-through rate, cycle time reduction, and staff efficiency. Panelists will discuss the tools and data sources used to track ROI over time, how to align measurement frameworks with broader business goals, and where evaluations often fall short. Attendees will learn how to separate vendor promises from real-world performance and apply a more disciplined, data-driven approach to technology decisions.

As AI adoption accelerates, lenders face growing pressure to demonstrate tangible business value while managing compliance and reputational risk. This session focuses on how organizations are evaluating the ROI of AI investments, from cycle-time reduction and cost per loan to error rates, staffing efficiency, and borrower satisfaction. Panelists will share how they benchmark success, align AI initiatives with strategic goals, and assess vendor claims versus real-world outcomes. Attendees will walk away with a clearer framework for measuring performance, managing risk, and justifying continued AI investment.