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Day Two October 27th - PST
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Day Two October 27th - PST
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Breakfast & Registration
Closed Door Small Group Meeting Only
8:00am - 9:00am
Breakfast & Registration
8:00am - 8:50am
Women in Mortgage AI Leadership Small Group Breakfast Meeting
An executive networking session bringing together women leading AI, technology, operations, servicing, capital markets, compliance, and innovation initiatives across mortgage finance. Discussions will focus on leadership, career advancement, operational transformation, and the evolving role of women shaping the future of AI in housing finance.
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General Session
9:00am - 9:45am
Build, buy, or partner?: Selecting AI vendors, platforms & infrastructure for scale
- When does it make strategic and financial sense to build proprietary AI capabilities versus buying off-the-shelf solutions or partnering with third-party providers?
- What should mortgage firms prioritize when evaluating AI vendors, models, platforms, and implementation partners?
- How are organizations integrating AI into legacy LOS, servicing, CRM, and data infrastructure environments without creating operational disruption?
- What are the biggest risks around vendor dependence, data ownership, interoperability, and long-term scalability?
- How should firms evaluate ROI, performance, security, compliance, and model transparency before committing to an AI solution?
- With AI technology evolving so rapidly, how are executives making infrastructure decisions today without locking themselves into tomorrow’s obsolete systems?
9:45am - 10:30am
The intelligent servicing platform: AI strategies for retention, risk & operational efficiency
- How are servicers using AI to predict borrower distress, improve retention, and proactively manage delinquency risk before defaults occur?
- Which servicing workflows — including customer communication, collections, escrow analysis, and loss mitigation — are generating the strongest efficiency gains from AI deployment?
- How are firms balancing automation with human interaction in sensitive borrower situations such as hardship assistance, bankruptcy, and foreclosure prevention?
- What role is AI playing in improving portfolio surveillance, servicing transfer onboarding, recapture strategies, and long-term borrower lifetime value?
- How are servicers managing regulatory scrutiny, compliance obligations, data privacy concerns, and reputational risk when deploying AI-driven servicing tools?
- What operational, technological, and organizational challenges are preventing mortgage servicers from fully scaling AI across their servicing platforms?
10:30am - 11:15am
The Next Generation Mortgage CRM: AI, Automation & Personalized Borrower Engagement
- How are lenders using AI to personalize borrower outreach, increase conversion rates, and improve customer retention across the mortgage lifecycle?
- What role is AI playing in predictive lead scoring, recapture strategies, cross-selling, and customer lifetime value optimization?
- How are firms integrating AI into CRM systems, marketing automation platforms, and borrower communication channels?
- Where should lenders draw the line between AI-driven automation and high-touch human interaction during the mortgage process?
- How are organizations using conversational AI, sentiment analysis, and behavioral analytics to improve borrower engagement and responsiveness?
- What compliance, privacy, reputational, and fair lending concerns arise as AI becomes increasingly embedded in mortgage marketing and customer outreach?
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Networking Break
11:15am - 11:30am
Networking break
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General Session
11:30am - 12:15pm
Autonomous mortgage operations: AI agents, workflow orchestration & the “lights-out” enterprise
- How close is the mortgage industry to fully autonomous workflows across origination, servicing, compliance, and capital markets operations?
- Which mortgage functions are most realistically suited for AI agents and workflow orchestration — and where does human oversight remain indispensable?
- How are firms using AI agents to automate document handling, underwriting tasks, borrower communication, condition clearing, and servicing workflows?
- What operational efficiencies, cost reductions, scalability gains, and competitive advantages can truly autonomous mortgage platforms deliver?
- What governance, cybersecurity, compliance, and reputational risks emerge when AI systems begin making or executing decisions with limited human intervention?
- Will the rise of AI agents fundamentally reshape mortgage staffing models, organizational structures, and the economics of running a mortgage enterprise?
12:15pm - 12:45pm
AI, fraud detection & risk surveillance: Fighting the next generation of mortgage fraud
- How are lenders, servicers, and investors using AI to detect synthetic identities, occupancy fraud, income manipulation, and other increasingly sophisticated mortgage fraud schemes?
- What new risks are emerging from generative AI, deepfake documentation, and AI-assisted borrower or broker fraud tactics?
- How can AI improve real-time anomaly detection, quality control, post-close review, and portfolio surveillance across the mortgage lifecycle?
- What role does AI play in strengthening KYC, AML, wire fraud prevention, and third-party vendor risk management?
- How are firms balancing aggressive fraud detection with borrower experience, operational efficiency, regulatory compliance, and fair lending considerations?
- As fraudsters increasingly deploy AI themselves, how can mortgage firms stay ahead in the escalating “AI vs. AI” fraud and cybersecurity arms race?
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