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Automation and AI in Underwriting: System Selection Simplified

Automation and AI in Mortgage Underwriting. Blog, On-demand Webinar, Quick Guide

Automation and AI in underwriting is no longer a luxury—it’s an industry imperative. With rising demand for efficiency, reduced costs, and better customer experiences, automated underwriting systems (AUS) have taken center stage. Yet, navigating the process of selecting and adopting the right system can feel overwhelming.

Our recent webinar, “Automated Underwriting: Exploring System Selection & Adoption”  is now available on demand and it is well worth a looksy. Indecomm CEO, Rajan Nair and our SVP, Product Management, Rachael Harris broke down the complexities, shared key insights, and provided practical strategies for lenders looking to invest in automated and AI-enabled underwriting technology. If you can’t watch the full webinar, perhaps the below highlights will give you enough to jumpstart your quest to find the right automated underwriting and loan decisioning system for your lending operation.

Need more? Download this Short and Sweet Mortgage Automation System Selection Guide.

Why the Buzz Around Automation & AI in Underwriting?
The truth is that automation has evolved in mortgage underwriting and has become far more sophisticated than what many believe. Initially, automation focused on agency AUS (Fannie Mae and Freddie Mac systems). Over the past decade, advances in technology—such as machine learning, OCR, and now generative AI—have expanded automation’s reach. This is largely due to a shift in priorities over the last several years based on market demand. While 2021 was about scaling for volume, today’s focus is on reducing costs and increasing efficiency. Lenders aim to lower loan touchpoints and enhance borrower experience in a competitive market. What many technology, automation, and services vendors have discovered is that automation solves challenges in any market conditions. Therefore, investments in leveraging this evolving technology continue to grow and companies like Indecomm are empowered to blend expertise in operations and technology to create solutions that are both practical and innovative (yes, that is possible!). So, what are some of those key components that technology developers leverage in this evolving AI-driven environment?

Key Components of Automated Underwriting Systems
According to Rachael, choosing an automated underwriting system is about aligning technology with your objectives. She highlighted the critical components to evaluate:

  • AI and Machine Learning: These technologies support everything from document recognition to decision-making. It’s crucial to determine how comfortable you are with AI’s role in your underwriting process.
  • Data and Document Integration: Systems should seamlessly handle data extraction, digitization, and cross-verification of documents to improve accuracy and efficiency.
  • Interoperability: Ensure the system integrates with your Loan Origination System (LOS) and other tools in your tech stack for smooth workflows. The transfer of information should not be one way!
  • Customization and Transparency: Decide whether you prefer a “glass box” (transparent, auditable systems) or “black box” (opaque, vendor-driven decisions).

Tips for Mortgage Underwriting System Selection

Knowing what technologies and features are the most critical in your underwriting system will only take you so far on your selection journey. In the webinar, Rajan stressed the importance of setting clear objectives before evaluating vendors. Awareness of your operational and organizational needs will enable you to make the most appropriate decision. Here are a few considerations:

  • Define Success: Identify goals such as increasing underwriter productivity or reducing time to close. What KPIs are you tracking and how do those KPIs support your organization’s mission?
  • Ask the Right Questions: Does the system support early-stage document review? Can it scale with your operation? Does it provide actionable data insights?
  • Engage Cross-Functional Teams: Include input from operations, IT, credit risk, and other stakeholders to ensure the system meets all organizational needs.

Adoption: The Million-Dollar Question
Adopting new automated mortgage underwriting technology is often more challenging than selecting it, which means your technology partner’s philosophy around support is extremely important. Rajan and Rachael highlighted factors that influence successful adoption:

  • Change Management: Build trust by presenting the underwriting system as a tool to empower underwriters rather than replace them.
  • Training and Onboarding: Equip teams with the knowledge to use the system confidently.
  • Early Wins: Focus on impactful use cases—like income calculation for self-employed borrowers—to demonstrate ROI quickly

Automation in Action: Key Insights
During your journey to select a mortgage automated underwriting system, there are some other features that may be important to your organization. Ensure your organization is thinking through the following:

  • Income Calculations: Automation excels in areas like self-employed income analysis, saving time and improving accuracy. Does the automated underwriting system include income calculations or is that system separate? Is the income calculation tool intelligent enough to calculate self-employed borrower income?
  • Perception & Risk: While automated systems enhance consistency checks, they complement rather than replace human oversight. Can your underwriters embrace the system as a tool for enablement? Can they see the correlation between the automated underwriting system and risk management such as greater error capture and more accurate, risk-based decisions?
  • Reps and Warrants: Not all underwriting systems offer tools that provide assurances. We encourage you to seek out systems that offer reps and warrants to help boost underwriter confidence, and encourage adoption

Measuring ROI and Impact
Understanding ROI and impact will be much easier if you already are tracking your underwriting KPIs. Being able to compare the pre-and post-system installation results is always helpful and knowing when you will see an impact will help you get more accurate data. Some providers already have data to share based on previous implementations of peer organizations. Here are a few considerations for understanding the impact of an automated underwriting system, keeping in mind that with a solid adoption strategy, results typically appear 6–8 weeks post-implementation.

Metrics: Monitor pull-through rates, cost reductions, and improved borrower satisfaction to gauge success.
Risk Management: Automated systems excel at identifying inconsistencies across loan files, enhancing fraud prevention efforts and reducing repurchase risk. What was your error capture rate before automation and after?

Final Thoughts
The road to automation is paved with opportunities—but also requires careful planning. As Rajan concluded, “The technology works, but it’s the human element—trust, training, and adoption—that ultimately determines success.” Ready to take the next step? Email us at [email protected] for personalized guidance, download the quick system selection guide, or watch the full webinar recording here.

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