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MortgagePoint » Your Trusted Source for Mortgage Banking and Servicing News 8 April 2025 M T E C H ute. We've seen a 50% drop in re-records and the whole process is faster, easier, and more secure." Up to 70% of closing packages have at least one inaccuracy, which is why the majority of lenders now use specialized teams to hand verify documents after closing. These teams invest hours in finding and fixing errors, which raises operating expenses, delays funding, and makes it more difficult for lenders to adjust to changing market volumes. The procedure is nonetheless prone to mistakes in spite of these efforts, which can result in expensive re-signings, de- lays in the secondary market, and a bad borrower experience. The presence and correct execution of crucial-to-fund documents are imme- diately confirmed by Funding Quality Control. The in-house artificial intelli- gence (AI) of Snapdocs detects missing dates, notary stamps, and signatures in real time, cutting down on quality con- trol time and guaranteeing that lenders can fix any mistakes and approve funds right away after signing. With Post-Close Quality Control, Snapdocs guarantees that papers are ac- curate, present, and properly completed by fusing AI with knowledgeable re- viewers. This shortens turnaround times and speeds up delivery to the secondary market. The program is adaptable to the review procedure used by each lender and indexes documents into eFolders. "The time savings with Snapdocs' Post-Close QC have been remarkable. What once took over 45 minutes per loan with an outsourced team is now complete in under 10 minutes—with more accuracy and consistency," said Stephanie Zinsmeister, EVP of Opera- tions at AnnieMac. "This efficiency has not only improved our throughput but has also empowered our post-close team to focus on strategic initiatives instead of drowning in manual work." Additionally, the business launched Trailing Document Management, which lets lenders monitor, control, and obtain final documents through the Snap- docs eClosing platform. This feature expedites the delivery of final docu- ments, decreases the need for manual settlement follow-ups, gives real-time status updates on final documents, and automates document pushback to the LOS. HOMEVISION PART- NERS WITH RESTB. AI PARTNER TO AD- VANCE COLLATERAL UNDERWRITING T o improve the real estate valuation process, Home Vision and Restb. ai have launched a new strategic alliance. This partnership will work to improve appraisal accuracy, expedite valuation procedures, and lower expen- sive revisions for appraisers, lenders, and AMCs by incorporating Restb.ai's artificial intelligence into HomeVision's MIRA (Machine Intelligence Review Assistant) platform. HomeVision's MIRA platform lever- ages machine learning, optical char- acter recognition (OCR), and natural language processing (NLP) to identify discrepancies in appraisal reports. With Restb.ai's AI-powered image recognition and property intelligence solutions, MIRA will now provide an enhanced layer of automation, detecting incon- sistencies between appraisal data and property imagery and confirming that the condition and quality of subject properties and comparables align. It also complements MIRA's native image models to enhance the detection of issues in images to ensure that appraisal reports maintain the highest quality and compliance standards. "As the industry continues to lever- age automation, accuracy, and efficiency in appraisal reviews, our partnership with Restb.ai accelerates our mission to create a comprehensive collateral underwriting platform where customers have everything, they need in to com- plete their review," said Charlie Horton, General Manager, Collateral Under- writing at HomeVision. "By integrating Restb.ai's AI capabilities into MIRA, we are helping lenders and AMCs identify critical defects that result in revisions and costly repurchases." HomeVision is an AI-powered collateral underwriting solution that uses Restb.ai's visual insights to immedi- ately combine and evaluate all pertinent appraisal data, producing a thorough risk assessment and summary report in a matter of minutes. "At Restb.ai, we are committed to unlocking the full potential of AI for mortgage valuation," said Nathan Brannen, Chief Product Officer at Restb. ai. "Our collaboration with HomeVision is another step forward in empowering the industry with real-time, AI-driven insights that improve decision-making and enhance appraisal quality." By automating the assessment of property pictures and other images using state-of-the-art AI, HomeVision's integration with Restb.ai adds sophisti- cated capabilities to the appraisal review process. Among the advantages are: • Automated discrepancy detection: AI identifies inconsistencies between data and imagery to ensure valua- tions align with market comparables, reducing manual review time. • Image validation and compliance: Flags noncompliant images for revision before submission. • Enhanced property condition anal- ysis: Extracts photo-based condition and quality scores for both the subject and comparable properties to identify potential over/under valuations. • Repurchase mitigation: Automati- cally identifies issues in photos, such as health and safety, to help reduce lender loan repurchases. "Our collaboration with HomeVision underscores the transformative power of AI in the mortgage industry," said Tony Pistilli, General Manager of Valuation at Restb.ai. "By integrating our advanced computer vision and AI solutions, we are streamlining the appraisal processes, en- abling appraisers, lenders, and AMCs to operate more efficiently while improving accuracy and ensuring compliance."