Anyone who has run a review operation for long knows where the effort goes: the variants. Twenty-eight variations of the same title documents across four vendors. Fraud findings delivered as a PDF because the provider never integrated with the LOS. A seasoned pool where each loan answers to the guidelines of the year it was made.
Origination volumes have been under pressure for three years. Higher rates reduced loan counts across the industry, and many lenders and servicers responded by reviewing their outside relationships closely. Budgets tightened, contracts were renegotiated and some vendor relationships were consolidated or ended. New client acquisition became difficult for many providers.
Every day, thousands of flights lands safely because three things work together in the control tower. Instruments see what the human eye cannot.
Every math teacher has said it at least once: show your work. The right answer earns partial credit. The right answer with every step on the page earns full credit, because it proves you understood how you got there.
Many mortgage automation business cases begin and end with cost. Organizations that asked only about cost reduction kept getting surprised by what automation ultimately cost them and by what it failed to deliver. The ROI conversation has changed, and it changed through experience.
Automation in mortgage quality control was supposed to remove work. For many QC teams, it has added a step instead. The software answers the checklist, the auditor reviews the loan again to confirm the software got it right, and the promised efficiency never quite arrives.
Augmented underwriting blends AI and automation with human expertise. That can include intelligent document processing, machine learning, automated underwriting tools, outsourcing, or a combination of all of the above.
Augmented underwriting blends AI and automation with human expertise. That can include intelligent document processing, machine learning, automated underwriting tools, outsourcing, or a combination of all of the above.
For most of modern mortgage lending, income spoke one language. A salary, verified by an employer, stable by design. The W2 remains the majority language of the American borrower, and it will be for a long time. The entire underwriting model, from staffing ratios to investor guidelines, was built around reading it well.
“AI-powered” now describes extraction tools, decision engines, and generative systems interchangeably, and most vendor decks never say which one is actually doing the work. This guide breaks down key AI and mortgage tech capabilities and provides key ways to evaluate mortgage AI and technology in 2026.
LoanBeam and IncomeGenius both automate borrower income calculation for mortgage lenders, and both support self-employed borrowers and the major agencies. The differences show up in scope and depth.
A fixer-upper always looks like a bargain on paper. The price is right, the bones are good, and the seller swears the wiring is “mostly fine.”
Picture your annual physical. The scale says your weight is right on par for your height, and on that basis alone, the doctor declares you healthy and sends you home. No bloodwork, no blood pressure, no questions about how you have been feeling.
Credit and compliance leaders see the symptoms first: defects found late, oversight hours multiplying, and a cost per loan no one fully trusts.
Most mortgage lenders have already made the move to AI-powered document processing. The question in 2026 is not whether to automate. It is whether the solution you have is actually working. For a lot of lenders, the honest answer is no.
Ask an operations leader why they hesitate to outsource part of the loan process and one answer comes up more than any other: “I will lose visibility.” The work leaves the building, the thinking goes, and so does the ability to see it. Status becomes a weekly email. Quality becomes a quarterly surprise.
Ask three surveyors to measure the same parcel of land, and you expect one answer. If they come back with three different acreages, nobody blames the land, and nobody builds on it until the measurements agree.
The question I get most from lending executives right now is about cost. Volumes have plateaued, and every budget conversation starts with “can we justify automation in a market like this?”
In mortgage operations, post-closing and post-settlement activities are often viewed as the final mile: a necessary but overlooked step after the “real” work is done. For many lenders, it’s just another box to check before moving on to the next file.
Most corrective action programs have plenty of effort behind them. What they lack is visibility. Findings get logged in spreadsheets, ownership scatters across email threads, and by the time a defect pattern becomes obvious, it has already repeated across three audit cycles.
Every lender knows the seesaw. Rates drop, volume floods in, and teams scramble to keep pace. Then rates climb, volume dries up, and the cost structure built for the good times is still standing there, waiting to be paid for.
STRATMOR Group, the mortgage industry’s leading advisory and benchmarking firm, is watching the same pressure build in its 2026 research. In June, STRATMOR’s Technology Insight® Study found that the center of gravity for mortgage digital investment has shifted decisively toward back-office operations and AI.
Audit quality is the foundation of trust across mortgage lending, servicing, and secondary operations. Yet legacy, manual review processes continue to create lapses in accuracy, delayed findings, and escalating costs, particularly where high volumes of mortgage documents and complex compliance rules intersect.
Underwriting headcount is a slow lever. Origination volume is not. When a lender’s pipeline fills up faster than its underwriting team can move, the usual fix is hiring.
Intelligent Document Processing (IDP) applies AI, machine learning, and rules-based automation to capture, classify, extract, validate, and route data from mortgage documents at scale
AI Trust, Reliability & Compliance Fast to deploy. Slow to govern. What is that costing you?In mortgage operations, an AI error is not an inconvenient suggestion. It is a repurchase demand, a fair lending flag, or a compliance finding that lands on a desk weeks or months after a loan closed. The stakes attached to
There is a conversation I find myself having more often these days. A mortgage operations leader will tell me they have automated their document workflow. They have invested in technology. Loans are moving.
Lenders are investing in mortgage automation at a pace that would have seemed aggressive five years ago. The tools are real. The results, when conditions are right, are measurable.
Your lenders have invested in document technology. Your processors have a system. Loans are moving through the pipeline. And yet, somewhere between intake and the underwriting queue, data is getting corrupted, missing, or simply wrong.
Most operations leaders already know where the friction lives. Income calculation, DTI computation, AUS findings parsing, condition drafting: deterministic work that follows a fixed sequence on every file.
Not all QC programs are equal. That has always been true. What is new is that the gap between those built on genuine AI capability and the ones still running on manual review and checklist discipline is becoming measurable in ways that were not possible before.
Mortgage lending in 2026 is an industry caught between what AI-powered mortgage underwriting can do and what most lenders have actually gotten it to do.
The mortgage industry has spent years talking about automation and AI. But if you walk into the average lender’s operation today,
For lenders evaluating mortgage QC software or reconsidering their approach to outsourced mortgage QC services, the stakes have never been higher. We asked Indecomm’s QC technology and services experts to weigh in on the future of QC and key considerations for the new world of AI risk.
Move from document automation to document intelligence in mortgage, powering a self-cleansing mortgage pipeline from the moment a document enters the system to its final stages in servicing and secondary markets.
The mortgage industry has always run on data. Rate sheets. Pipeline reports. Pull-through ratios. But there is a set of numbers circulating right now
At the 1988 Seoul Olympics, the US men’s 4×100 relay team had arguably the four fastest sprinters on the planet.
AI adoption in mortgage shifted meaningfully in 2024, with usage more than doubling from 15% to 38% of lenders deploying AI or machine learning, and another 48% adopting some form of robotic process automation, according to Stratmor Group.
Think of a flight crew at a cruising altitude. Autopilot is engaged. The instruments are steady. The route is programmed. And the pilots, far from being redundant, are the most important people on the plane.
Indecomm built the Genius AI Suite from a different starting point: not how to apply AI to mortgage, but where mortgage work actually breaks down. Six products came out of that thinking
Ask any mortgage underwriter what slows them down and you will not hear “risk modeling.” You will hear about chasing documents, conditions that pile up, and jumping between three systems to review one file.
Artificial intelligence has transformed what’s possible in mortgage fraud, and not in a good way. The same technology powering productivity tools and automation across the industry is now being weaponized to fabricate documents
Every decade, the mortgage industry reaches an inflection point where a wave of technology separates the lenders who moved early from the ones who waited. Loan Origination Platforms. Digital point-of-sale platforms. Income Calculation technology. Automated underwriting systems (AUS).
Think about the last time you rode a subway. You swiped your card, walked through the turnstile, and stepped onto a platform. A train arrived, you got on, and a few minutes later you were exactly where you needed to be. Simple, right?
Blanket automation promises a lot. Here is what targeted, mortgage-native automation actually does to your cost per loan across seven high-impact workflows.
Most mortgage lenders have already made the move to AI-powered document processing. The question in 2026 is not whether to automate – it is whether the solution you have is actually working.
At the recent MBA Annual, I was joined by David Gates (COO, Premium Mortgage), Steven A. Milner (CEO, US Mortgage Corporation), and Patrick O’Brien (CEO, LenderLogix) for our session
The mortgage industry is at an inflection point. Rising origination costs, shrinking margins, and heightened compliance pressures have pushed lenders to rethink traditional workflows.
Brent Jeanetta, Manager of Client Success and Automation at Indecomm, blends mortgage expertise with a tinkerer’s mindset to turn complex workflows into practical, reliable automation.
Technology and AI projects in mortgage operations often start with excitement: shiny new tools promising faster turn times,…
As VP of Automation and Client Success at Indecomm, Joy Gilpin leads the implementation of several of the company’s Genius suite of technology solutions—including AuditGenius and DecisionGenius.
Climbing the digital transformation mountain isn’t easy. But mortgage lenders are making their ascent—one intelligent workflow at a…
Meet Narayan Bharadwaj, Executive Vice President of Automation at Indecomm—a technologist, strategist, and relentless advocate for pragmatic innovation in the mortgage industry.
Everyone loves a summit photo. But few think about the sore legs, tedious training, or carefully charted routes it took to get there.
The same holds true for AI and automation in the mortgage industry. As lenders and servicers eye the peak—cost savings, scalability, risk reduction—it’s easy to get caught up in the excitement of transformation and forget the climb starts at the base.
Homebuyers in 2024–2025 are thinking differently—and it’s changing the game. With high interest rates, inflation, remote work becoming the norm, and tech evolving fast, people are making decisions in new ways or avoiding making decisions altogether. For mortgage lenders, that means it’s time to shake things up: get tech-savvy, stay flexible with products, and rethink how to manage risk. Here are a few notable points that may impact lender operational decisions in 2025.
Rachael Harris knows mortgage operations – because she’s lived them. With over 20 years of hands-on experience and a no-fluff approach to product development, she’s built her reputation on delivering mortgage SaaS and automation products that makes a real difference.
With Indecomm’s Post-Closing Hub, cycle-driven disruption doesn’t have to lead to bottlenecks, compliance issues, or repurchase risks. The Post-Closing Hub delivers consistency in a stage of the process that’s too often reactive. Whether you’re managing a few dozen loans a month or several thousand, the model flexes—keeping timelines tight, quality high, and your team focused on what matters most. Because in today’s market, a stable post-closing process isn’t just a nice-to-have—it’s a strategic advantage.
The homebuying journey is filled with emotion—hope, stress, anticipation. What borrowers need most is someone who can cut through the noise, answer their questions quickly, and keep them moving forward with confidence. But far too often, the people best equipped to provide that experience, such as your mortgage processors, are buried in routine digital data tasks. The time-drain is anything but modern.
“You can’t fix what you can’t see.” That’s the quiet truth lurking behind too many Quality Control (QC) departments in mortgage lending today.
All too often, QC data stays locked in spreadsheets, siloed from the teams that could act on it — origination, underwriting, processing, post-closing. But Premium Mortgage shows us what happens when you flip the script:
Imagine walking into a library where books are scattered everywhere—no shelves, no categories, just a sea of documents….
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. We’ve simplified it for you.
This, friends, is the mortgage industry’s document problem. It sounds like a minor inconvenience—something technology should have solved a decade ago. But here we are. At Indecomm, we’ve spent the last year digging into why this is still happening. The answer? While many vendors promise automated solutions for document indexing and data extraction, most fall short. Until now.
By focusing on efficiency, accuracy, and ease of use, Indecomm’s Automated MERS Audit solution is an indispensable tool for lenders looking to streamline their compliance efforts. With this blog, you can clearly convey the value of the solution to potential clients, encouraging them to explore how Indecomm can simplify their audit processes
Beyond the timeliness of mortgage document delivery, issues with loan package quality can threaten the foundation of your post-closing operations. Rest assured, tackling trailing doc tracking is a non-issue with the right mortgage document technology.
Without adequate support, staying abreast of guideline changes, best practices in loan review, and ensuring compliance with new requirements becomes increasingly challenging, leaving mortgage companies vulnerable to fines and penalties.
In a marketplace filled with numerous mortgage BPO providers, it becomes crucial to distinguish those that genuinely add value. What are the most important features of your BP partner? How do you determine whether your partner is an ally, advancing your interests, or simply focused on keeping your organization reliant on FTEs?
As the buzz around declining mortgage rates begins to swell, lenders and servicers are facing a veritable jungle of rate locks, volumes, and customers. Conjuring up the Wizard of Oz, the industry is trekking along its own Yellow Brick Road, where the thrill of increased loan volumes comes with a side of apprehension. This isn’t just about enthusiasm; it’s about readiness and business scalability. When the market returns with volume spikes, the fear of being unprepared can dampen the excitement of growth.
Picture this: you’re in the business of mortgage lending, and you’ve just successfully helped a borrower close on their dream home. It’s a moment to celebrate, but there’s one more task on the to-do list — releasing the lien on the property. Now, you could handle this the old-fashioned way, diving into stacks of paperwork, crossing your fingers, and hoping for a smooth process. Or, you could take a cue from Indecomm’s Genius approach to mortgage operations and simplify.
Enter lien release services – the streamlined, no-nonsense approach to ensuring that all-important lien is released efficiently and in compliance with all the rules and regulations. Here’s how Indecomm can help you cut through the complexity:
By Kevin Quinn, SVP, Servicing
The mortgage market is predictably unpredictable. If you are a mortgage industry veteran, you have ridden the mortgage rollercoaster and watched businesses exit never to return. The truth is that not every firm is cut out for (or designed to withstand) the fast, extreme market change that can occur in the mortgage industry.
The mortgage industry’s transformation is underway, driven by the convergence of technology and human expertise. Augmented underwriting emerges as a beacon of change, where automation enhances efficiency, accuracy, and the borrower experience. As lenders navigate this dynamic landscape, embracing augmented underwriting can unlock untapped potential, deliver faster approvals, and secure a competitive edge. But what is it and how does it work?
It may not be science fiction but underwriting a mortgage loan is an epic quest for the truth that involves pouring over hundreds of documents, checking fields, comparing calculations, and often, going over the same file several times.
The Genius-to-Genius forum is committed to helping mortgage businesses better evaluate, implement, and utilize automation in a way that fundamentally changes how they operate and ensures a more resilient and agile response to market cycles.
Shifts in underwriting toward technology and automation are attributed to changing customer demand, mortgage operational burden, and market cycles.
From loan decisioning tools to breakthroughs in machine learning, RPA, and intelligent automation, the tides of digital mortgage underwriting are shifting. Here’s why.
The quality, accuracy, and visibility of data, documents, and analysis backing an underwriting decision are just as important as the final decision itself. Learn how glass-box technology drives Indecomm’s DecisionGenius automated underwriting and loan decisioning accuracy.
When you are a mortgage lender the “market seesaw” effect is inevitable. One minute you are looking at low rates, record volumes, and increasing revenues, trying to keep up with demand. And, the next minute —like this very minute — your volumes are declining, rates are rising, and you are stuck with all the costs you incurred when trying to keep up with production.
Indecomm Appreciates Ambition Indecomm believes in providing equal employment and advancement opportunities to all individuals based on merit, qualifications, and abilities. Through our Indecomm University program, we hire, train, and educate new graduates in mortgage processes, technology, operations, and automation. This program gives aspiring new professionals the opportunity to gain the knowledge and experience required
Indecomm’s genius suite of automation products offers lenders the opportunity to better adapt to changes in the market. Easy to use and easy to implement, the genius suite of products accelerates income analysis, underwriting, document management, and operations. Watch the video to get a quick overview.
Indecomm, a provider of mortgage automation solutions, is pleased to announce the launch of our new website, located at indecomm.com The goal of our new website is to provide visitors with an easy way to learn about Indecomm’s products and services and to keep our customers informed of our latest innovations. The new website showcases
While most loan volumes are expected the shrink in 2022, the non-QM sector is expected to double its market share. Non-QM loan growth is expected to increase by a whopping 40%. Is your operation ready to capitalize on this unique asset type?
After a tumultuous ride through 2021, we are finally now in 2022 with plenty of hopes for better times ahead.
There are many things that loan originators and branches need to know about self-employed customers. Many lenders, even with most conventional pipelines, report up to 40% of their files having tax returns. True self-employed borrowers, borrowers with a side business, borrowers with rental properties…the number of self-employed clients add up. Our clients have heard horror
The client is one of the nation’s largest mortgage loan servicers, managing and support nearly 3 million borrowers per year throughout the life of their mortgages and delivering a consistently high-quality customer experience.
Primis Mortgage, a subsidiary of Primis Bank, provides a comprehensive suite of mortgage solutions. Operating in 43 states and the District of Columbia, Primis Mortgage offers a diverse range of loan programs, from homebuyer assistance and government-backed loans to jumbo mortgages and more.
The client is a mid-sized multi-channel mortgage lender, a subsidiary of a privately-held investment advisor with approximately $50 billion of assets under management.
Top mortgage originator rolled out IncomeGenius to its correspondent partners, improving the accuracy of calculations and reducing repurchase risk. Check out the stats!
The customer saw an opportunity to improve their underwriting workflow by using Indecomm’s DecisionGenius solution. This is an automated solution for loan decisioning and underwriting that seamlessly integrates with the customer’s LOS.
The mortgage application process has long been plagued by manual data extraction and analysis, leading to delays, errors, and escalated costs. This spurred Indecomm, backed by decades of mortgage industry experience, to conceive IDX — a revolutionary tool to automate these intricate tasks.
A mid-size regional lender recently experienced a series of mergers and acquisitions and found different levels of competency in their merged underwriting staff. Indecomm implemented a pre-funding underwriting review to identify opportunities for improvement.
A servicer had a backlog of lien release documents to process plus an immediate need to reduce staffing costs in the lien release department. Leveraging Indecomm’s plan and support, the client realized a 25% immediate cost reduction.
A large lender with outstanding documents utilized Indecomm’s final documents management and DocGenius solution, generating a 15% savings.
A top mortgage lender and servicer acquired a large government loan portfolio. Indecomm developed policies and procedures enabling the client to insure/guaranty over 90 percent of the previously uninsured loans.
A title and settlement service provider needed timely and cost effective recording solutions. Indecomm implemented DocGenius to improve the client’s turnaround times, minimize errors, and improve customer satisfaction.
A leading vendor management client had an immediate need to reduce overhead and staffing costs. Indecomm put in place a team of contract auditors to manage volume fluctuations, allowing the client to attain a low variable cost per order vs. a high fixed cost.
Client Information The lender is a top lender/servicer with a $380 billion servicing portfolio and multiple production channels….
Learn how a top 5 lender leveraged Indecomm’s automated loan estimate & closing disclosure comparison to execute assignments.
Many mortgage automation business cases still begin and end with cost. Organizations that asked only about cost reduction kept getting surprised by what automation ultimately cost them and by what it failed to deliver.
Lenders have invested heavily in LOS platforms, automated underwriting engines, income analyzers, and AI-driven tools. On paper, underwriting should be faster and more scalable than ever.
Every industry eventually encounters a point where longstanding assumptions break down, expectations shift overnight, and the operational foundation that once felt stable suddenly becomes obsolete. Photography had its reckoning with Kodak.
The Automated and AI Underwriting System Selection Guide is designed to simplify the complex process of evaluating, selecting, and implementing a mortgage underwriting system tailored to your organization’s needs.
Discover how to navigate the unpredictable mortgage industry landscape with confidence in the “2024 Mortgage Industry Guide.” This comprehensive eBook explores the ever-shifting dynamics of interest rates and loan volumes, offering a strategic perspective on leveraging Business Process Outsourcing (BPO) as a powerful ally. Learn how to select the right BPO partner by evaluating transparency, industry expertise, quality, real-time performance metrics, and innovation.
Meticulous planning ensures your mortgage automation project’s alignment with business objectives and facilitates smoother implementation, integration, and adoption, ultimately leading to enhanced operational efficiency and service quality in the mortgage process. Download the infographic for six steps to get started with your planning.
