The mortgage process is complex. Every loan weaves through a maze of people, paperwork, and systems, all on tight deadlines. Too often, teams are stuck doing “stare and compare” work: reconciling disclosures, checking signatures, and combing through documents for compliance. It’s slow, expensive, and prone to errors.
That’s where AI-powered technology makes the difference. By introducing AI into each step of the process—from CD Balancing to eClose to Quality Control—lenders eliminate inefficiencies, improve accuracy, and close loans faster.
This is the third article in our series on how AI is changing mortgage operations. In earlier posts, we looked at how AI is reshaping mortgage operations and where it offers the biggest efficiency gains. Now, let’s dive into how Snapdocs applies AI within its platform to solve the toughest challenges in the mortgage lifecycle.
CD balancing is the last critical step before the closing appointment. Lenders and title companies must reconcile every fee down to the penny. Today, this often means over an hour of manual “stare and compare” per loan—pulling documents, re-entering fees, and chasing corrections over email. This manual process creates a high risk for errors that can lead to TRID violations, delayed closings, and higher labor costs from closer overtime as teams try to remediate errors while simultaneously maintaining loan throughput.
What Snapdocs delivers
Snapdocs CD Balancing transforms this step with AI that instantly compares disclosures, flags discrepancies, and syncs updates directly with the LOS. No more rekeying or endless back-and-forth.
AI at work
With Snapdocs’ AI-powered CD Balancing technology, teams can focus on the few anomalies that truly need attention—driving faster, more transparent closings, while lowering back-office costs and compliance risk.
Closing a loan is challenging for lenders and stressful for borrowers—especially with paper in the mix. Lenders and title companies have long juggled multiple systems and manual checks just to keep every closing on track.
Snapdocs eClosing changes that. By using AI to streamline document prep, routing, and signing, it replaces those fragmented workflows with one consistent digital process. Whether the closing is wet, hybrid, eNote, or RON, teams can manage any loan or closing type in one transparent platform.
AI at work
The result is 99%+ classification accuracy across 5,000+ closing document types. Near-perfect placement of signature and date fields. A process that scales across lenders, reduces manual work, and continuously improves with millions of new pages processed each month.
Real-world proof: Through Snapdocs’ AI-powered eClosing technology, The Federal Savings Bank modernized its closing process, achieving funding times measured in minutes rather than hours or days.
Funding a loan can’t occur until every error in the package is resolved. Yet 20–25% of loan files have issues like missing signatures, stamps, or incomplete pages. Manual reviews take time, cost money, and often miss mistakes—delaying funding and disappointing borrowers.
Snapdocs Funding QC reviews critical-to-fund documents the moment they’re uploaded. The platform automatically checks for package completeness and verifies the presence of all required signatures, dates, initials, and stamps. Eliminating time consuming manual reviews and accelerating the release of funds to borrowers.
AI at work
The system combines rules-based automation, pattern recognition AI, and generative AI to:
This result is QC reports that are generated in under two minutes, with 99%+ accuracy in catching missing fields and pages, and a 99% reduction in documents staff must review. These efficiency gains save $25 per loan and recapture 10–15 minutes of staff time.
Real-world proof: Zions Reduces Errors by 80% with Snapdocs Funding Quality Control and now saves 20 minutes of quality control (QC) time per file with the Snapdocs platform.
After funding, loans must undergo a full post-close review before they can be sold. This process is time-intensive, often requiring 30–60 minutes per loan. Manual reviews still miss issues, leading to errors occurring on 85-90% of files. These errors delay delivery, drive up labor costs, and risk investor rejection.
Snapdocs Post-Close QC scans the entire loan file, indexes documents into eFolders, validates wet-signed pages, and checks critical forms like the Note, Mortgage, and CD. The system continuously improves by learning from over 2 million new pages processed each month.
AI at work
With Post-Close QC, reviews are completed in a fraction of the time. Errors are detected and corrected 60% faster, with over 99% accuracy in identifying missing pages and signatures. On average, lenders save $65 or more and reclaim 55 minutes per loan.
Real-world proof: AnnieMac Home Mortgage reduced post-close QC time from 45 minutes to under 10 per loan, improved first-pass rates from 80% to 95%, and shortened funding-to-purchase timelines by 7.5 days.
Snapdocs provides the foundation for a smarter, AI-powered mortgage process. By applying AI across CD Balancing, eClosing, Funding QC, and Post-Close QC, lenders gain an end-to-end workflow that delivers measurable results: