Non-performing loans cost mortgage servicers roughly nine times more to service than performing loans, $1,573 versus $176 per loan in 2024, according to the Mortgage Bankers Association’s Servicing Operations Study and Forum. Loan modifications sit at the center of that cost gap, and the workflow behind them, decisioning across investors and agencies, document generation, fulfillment, and recording, is exactly where automation is being pulled hardest right now.
Almost every servicer that reaches out to Outamation, a Dallas, Texas-based mortgage technology company, opens the conversation the same way. “We’re adding people just to keep up.” Sapan Bafna, the company’s CEO, hears some version of that from nearly every servicer who calls him. It sounds like a staffing problem. It usually isn’t.
When volume spikes or a new program rolls out, the entire loan modification chain, decisioning, documents, fulfillment, recording, gets stretched at once, and the only lever most servicing teams have left is hiring more people to do the same manual work faster. Given the cost differential the MBA data shows, that lever gets more expensive every time a loan slips from performing to non-performing. The VA’s new Partial Claim program is a current example. Under VA Manual M26-4, servicers have to stand up compliant loss mitigation decisioning by November 28, 2026, and because the Partial Claim only works as part of the VA’s new loss mitigation waterfall, it is exactly the kind of program rollout that stretches the whole chain at once, not a single step.
The real bottleneck in loan modification automation is rarely the people
When Outamation’s team digs into a new client’s process, the pattern is consistent. Skilled staff are spending their time reading PDFs and re-keying data by hand rather than making decisions that actually require judgment. “Once a client sees that the bottleneck is the process itself, the conversation changes completely,” Bafna said. That reframing, from a headcount problem to a process problem, is often the moment a servicer starts seriously evaluating loan modification automation software rather than another round of hiring.
This is also where a lot of automation pitches fail. A tool that speeds up one task, like document generation, without addressing the manual handoffs around it, does not fix the underlying bottleneck. Outamation built its flagship product, OutamateMods, specifically to automate the loan modification process end to end, from decisioning through document generation, fulfillment, and recording, which is why Outamation reports cycle time reductions of up to three times as its core proof point. That same engine now handles VA Partial Claim waterfall decisioning, which Outamation moved into client user acceptance testing ahead of the November deadline.
Quality problems in loan modifications tend to surface after the fact
There is a second pressure that often gets discovered later rather than upfront. Lisa Guadagno, VP of Global Strategic Initiatives and a board member at Outamation, who works closely with clients on implementation, said quality management is frequently the value clients did not expect when they first signed on. Servicers come in focused on the visible pain: the backlog, the pile of documents waiting to be processed. What surprises many of them is how much time and risk gets removed once quality checks are standardized and process deviations get caught early instead of during an audit.
That matters because audit findings and remediation cycles are expensive in ways that do not always show up in an initial cost-benefit conversation. A servicer that only automates the visible loan modification bottleneck can still be caught off guard by quality issues that were always there, just less obvious.
Not every servicing workflow is a fit for automation, and that’s the point
Bafna was direct about the fact that automation is not the right answer for every workflow, a distinction worth taking seriously from a vendor whose business is selling automation. Outamation looks for processes that are high-volume, rule-bound, document-heavy, and repeatable, where getting something wrong carries real cost. If a process is genuinely bespoke and low-volume, he said the company will tell a prospective client it is not the right fit rather than sell a solution that will not move the needle. That kind of honesty is worth listening for when evaluating any automation vendor, since one willing to say no to the wrong project is more likely to be honest about what the right project will actually deliver.
What servicers should take from the numbers
For a servicer feeling the squeeze of rising volume and shrinking margin for error, the useful exercise is to separate the staffing problem from the process problem before deciding what to fix. If the same manual steps keep coming up in loan modifications, decisioning, document handling, quality review, that is a signal the bottleneck is structural, not a headcount gap. The MBA’s cost data shows how wide that gap already is, and it widens fast whenever non-performing volume climbs.
About Outamation: Outamation builds AI-driven automation for mortgage servicers and lenders, with products covering loan modifications, document generation and management, document intelligence, and quality management. Outamation is the first mortgage technology company in the United States to achieve ISO/IEC 42001 certification for AI governance, in addition to ISO 27001 and SOC 2 Type II.
This article is based on information provided by the sources cited above. It is intended for general informational purposes only and does not constitute legal, financial, or real estate advice. Readers should conduct their own research and consult qualified professionals before making any real estate or financial decisions.
