- Format:Online Self-Paced
- Education Type:Professional Development
- Line of Authority:N/A
- Language:N/A
- Credit Hours:N/A
Artificial intelligence is rapidly changing how professionals work in the mortgage industry. New tools can draft emails, summarize documents, organize information, and help professionals work more efficiently.
But for many mortgage loan originators, AI raises just as many questions as opportunities:
- Is it safe to use AI in mortgage lending?
- What tasks can AI help with?
- How do I avoid exposing borrower information?
- How do I use these tools without creating compliance risk?
Many MLOs are also feeling another pressure: not falling behind. Some professionals are already experimenting with AI tools to improve productivity and communication. But without clear guidance, using these tools can feel risky.
This course is designed to help mortgage professionals cut through the hype and understand where AI may fit into their real-world workflow.
You’ll explore practical examples of how AI can assist with tasks like document organization, borrower communication, and research—while learning the boundaries that protect you, your borrowers, and your organization.
The goal is simple: help you understand how AI may support your work so you can use it confidently, responsibly, and professionally.
What You'll Learn
- Identifying mortgage workflows where AI may assist with organization, research, and communication
- Leveraging AI prompts to help generate borrower document checklists based on general borrower scenarios
- Using AI to translate complex underwriting conditions into clearer borrower-friendly explanations
- Exploring how AI may assist with researching down payment assistance programs and public mortgage resources
- Drafting borrower and partner communications using AI as a starting point
- Applying professional judgment to review and verify AI-generated outputs before using them
- Recognizing compliance considerations when using AI, including borrower privacy and data protection
- Understanding the appropriate role of AI as a support tool—not a replacement for the MLO’s expertise