Automate Document Processing with Quick Automate and the IDP Accelerator

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Mortgage lending runs on documents. Every loan starts with a familiar set: earnings statements, W-2s, bank statements, driver’s licenses, voided checks, and insurance applications. Every lender processes them at scale. The challenge of classifying, extracting, and validating high volumes of documents isn’t unique to mortgage lending. Organizations in banking, insurance, healthcare, and the public sector face their own versions of it, each with different but repeated document types and compliance requirements. In this post, we use mortgage lending as a concrete, well-quantified example, but the underlying architecture is scalable and adapts to document-intensive operations across industries. At scale, the numbers add up fast. The U.S. mortgage market originates roughly $4–6 million loans per year, according to the MBA Mortgage Finance Forecast. The average mortgage takes 44 days to close, per ICE Mortgage Technology’s Origination Insight Report. The Mortgage Bankers Association estimates the total cost to originate a single loan at over $11,000, spanning sales, fulfillment, production support, and overhead. Document intake and processing make up a significant part of that fulfillment workload. Delays here cascade into longer cycle times across the pipeline. For a mid-size lender processing 50,000 loans annually, manual document handling consumes thousands of hours per year. What if you could automate the entire pipeline? From the moment a lending package arrives to the moment validated data flows into your downstream systems, the process is fully automated. Overview We …

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