Posted by MeridianLink | May 29, 2026

Why closing throughput hasn’t kept up and what’s finally changing 

The following post is provided by Areal.ai, a MeridianLink® Marketplace partner  

By Argun Kilic, Founder & CEO, Areal.ai 

For the last decade, mortgage operations teams have spent heavily on the front of the funnel. Point of sale. Pricing engines. Instant verifications. Workflow rules inside the LOS. Most lenders can now take a complete application, verify income and assets, and issue a pre-approval in a fraction of the time it used to take. 

And yet, somehow, the number of loans a closer can reliably push out the door in a month has barely moved. 

A seasoned closer at a mid-size lender still closes four to six files a day. A funder still burns thirty-plus minutes per loan verifying documents line by line. A post-closing team still reviews four hundred to six hundred pages per loan against investor requirements. At month end, people work late, errors creep in, and the defect rate—Freddie Mac has called it out at around 9.6%—barely budges. 

The bottleneck isn’t staffing. It isn’t motivation. It’s that the work itself hasn’t been rebuilt. 

The closing stack is still mostly hands 

Walk the floor of a closing team and watch what people actually do. They open a CD from the title company. They open the CD from the LOS. They scroll through fifty to sixty line items, tracing which fees moved and by how much. They email the title company, wait, rebalance, and do it again—two, three, four rounds per loan. 

They pull a funding package and check for a missing signature, a wrong notary date, an amount that doesn’t match. Most of the time, it’s clean. Sometimes it isn’t, and if they miss it, the loan doesn’t fund. 

They open a post-closing package the size of a short novel and make sure every exhibit an investor expects is there, in the right order, with the right stamps. When it isn’t, the loan comes back, and someone upstream spends an afternoon fixing it. 

This is skilled work, and the people doing it are good at it. But it’s also repetitive, pattern-matching work—the kind that consumes the scarce attention of experienced operators who could otherwise be handling exceptions, clearing conditions, or coaching newer team members. 

The fix isn’t another dashboard 

The instinct, for a long time, has been to solve this with better reporting. More granular SLAs. More queues. More status views in the LOS. Those things help, but they don’t change the underlying math. A closer with a cleaner queue still has to touch every line.

What’s changing now is the work itself. Specialized AI in mortgage lending—trained on mortgage documents, not generic text—can classify every page of a borrower package in seconds. It can compare two closing disclosures and surface the three lines that actually need attention. It can read a funding package and flag exactly what’s missing before a human opens the file. 

When that capability sits inside the platform closing teams already use—rather than as a side application people have to remember to check—the math changes. A fee reconciliation that took forty-five minutes takes two. A funding review that took thirty minutes becomes a few seconds of triage, with exceptions only going to a human. A post-closing review built around “read every page” becomes “confirm the exceptions the AI flagged.” 

The throughput gain isn’t incremental. In production, the lenders furthest along in this shift are closing roughly twice as many files with the same team and recovering three to five hours per mortgage that used to be spent on document work. 

Built into the platform you already run 

None of this has to mean a new LOS, a re-platforming project, or a six-month integration effort. The more interesting work right now is happening inside existing stacks—where AI n mortgage lending is plugged into where the loan already lives, picks up the document traffic as it flows through, and pushes structured output back into the systems your teams already open every morning. 

That’s the thesis behind the new Areal integration on MeridianLink®: two products that cover the full closing workflow—Areal CD Balancer for fee reconciliation and Areal Copilot Agent, a platform that ships with out-of-the-box agents for borrower onboarding, funding review, and post-closing review—available natively to any MeridianLink® Mortgage customer. 

The integration changes the frame of the conversation. The question is no longer “should we bring AI into mortgage closing.” It’s “how much of the closing day do we want to give back to our team, and how quickly?” 

For lenders who’ve spent the last few years optimizing the front of the funnel, the answer is likely sitting at the other end of the loan.  

See how your institution can put AI in mortgage lending to work within the origination system you already use. 

Similar Posts