A Better Way to Handle Your Complex Loan Files

A complex file can run eighty pages before anyone knows whether the deal is real. Self-employment shows it most clearly: two years of personal returns, an 1120-S, K-1s, a Schedule C with a loss year in it, paystubs from a payroll provider that formats them differently than the last one. The same reconstruction work shows up in files with divorce and child-support income, or any borrower whose qualifying picture isn't a straight W-2. For an independent broker, reconstructing qualifying income from that stack is the hardest work in the file, and it lands before there is a contract, a commission, or any certainty it closes.

Shaikh It Up Mortgages moved that work onto Autyn. The firm measured the result where it binds a solo practice: how fast a complex borrower gets to a prequalification the broker can stand behind.

The constraint

Shaikh It Up Mortgages is licensed in Texas and originates roughly $8 to $12 million a year against a wholesale network of about 100+ lenders. Summera Shaikh is the founder and owner.

For a practice built this way, the binding constraint is not leads or lender access. It is the owner's hours, and the largest claim on them is income analysis on complex files. Self-employed borrowers are the hardest. Behind them come first-time buyers with layered qualifying issues, and asset shortfalls. There is usually something.

The work is front-loaded by nature. Qualifying income has to be reconstructed before a prequalification letter exists, which means the most difficult analysis in the loan happens before the loan is a loan. For a solo originator, every hour there is an hour not spent originating. That is the ceiling, and it is a ceiling made of arithmetic, not effort.

Where contract processing runs out of room

Summera ran processing through third-party contract processors, the standard arrangement for an independent brokerage that does not want fixed headcount. Over several years the firm worked with more than a dozen, two of whom Summera rates as genuinely well-run.

The model does what it is built to do. Its limits are architectural:

• It starts after the file exists. Contract processing is scoped and priced per file, which puts it downstream of the hardest work. Prequalification analysis is outside the engagement entirely.
• Income calculation is where accuracy varies most. Document collection was never the friction. Reconstructing income from business returns, K-1s, and Schedule C filings was, and it is where the spread between processors is widest.
• Confirmation is not the same as completion. Files moved, but knowing an item was actually handled often meant checking it independently, which puts back the work the arrangement was meant to remove.
• No one is reading ahead. Transactional processing does not include scanning a file for guideline exposure or likely decline conditions before submission. That judgment stays with the broker.

The cost was never a missed document. It was that the owner stayed inside the mechanics of every loan.

The evaluation

Summera's search started from a gap, not a vendor list. Sitting down to work through where the business needed help, she identified prequalification support as one of the largest: analysis on complex files before a client was ever under contract. She evaluated against that gap on three axes at once — whether a partner could actually do the income work, what it cost relative to hiring for it, and whether anyone behind the software was accountable for a given file.

The fourth option on the list was not a vendor. An in-house LOA or processor would have solved the capability question, but would have carried $40,000 to $65,000 in payroll whether or not files came in.

What decided it:

• The analysis happens at prequalification, not after submission — the point in the timeline where the constraint actually binds.
• Exposure surfaces early. Guideline issues, documentation gaps, and likely decline conditions are flagged up front rather than discovered at underwriting.
• Cost scales with volume, not with the calendar. A flat per-file fee, invoiced in line with standard third-party processing practice, buys capacity without a fixed line on the P&L.
• Data security. The initial hesitation was AI systems touching sensitive borrower data. Autyn's SOC 2 Type II compliance resolved it.
• Someone accountable answers the phone. A conversation with co-founder and COO Joel D'Souza established that people, not just a platform, were accountable for outcomes on individual files. Summera names this as the deciding factor.

What remained was ordinary reluctance to change a workflow that already functioned. She committed to running the next file through Autyn.

How it works in the file

Origination judgment stays with the broker. Reconstruction moves to the platform.

Summera runs the initial consultation, builds the initial needs list, and delivers the opening package herself: W-2s, personal and business returns, identity documents. Autyn engages at loan assignment.

From there the platform verifies what came in, flags what did not, and calculates qualifying income across the documents that carry the most variance: paystubs in formats that differ by employer and payroll provider, full personal returns with Schedule C and Schedule E attachments, business returns including the 1120-S, and K-1s. The Autyn team gathers remaining conditions up front.

Day to day, the relationship runs through the Autyn portal, with check-ins on active files as often as needed, plus email or call updates on urgent file matters.

Loan types to date span self-employed and complex income, including divorce and child support structures, FHA, and conventional, with a VA file in progress.

What changed

• Time to prequalification improved by more than 70%, the metric the firm named as its constraint.
• 3 to 5 hours of broker time returned per file, expected to grow as more loan types move over.
• Clear-to-close in six days or less, with the fastest file clearing the same day.
• Borrower updates moved to the Autyn team. Communication that used to land entirely on the broker is now handled by the platform team, and Summera reports her clients are better served for it.
• The mix of accepted files changed. Scenarios the firm once approached carefully are now taken on.
• Headroom. Summera estimates the practice can carry two to three times its current volume with the back office in place.

Working with Autyn has been a game changer. Processors and loan officers aren't perfect — but for the first time I'm able to trust that I have a true, thriving partnership. I feel, for the first time, empowered and safe to go generate more business.

— Summera Shaikh, Founder, Shaikh It Up Mortgages · Company NMLS #2551955 · Personal NMLS #1990428

What's next

More volume, and harder volume: investment property scenarios and non-QM, the files that gain most from analysis that happens early. A business development hire is under consideration.

Asked whether she would recommend Autyn to other independent brokers, Summera's answer was yes without hesitation, and particularly for brokers working with third-party contract processors today. Her one condition is that the arrangement depends on the loan officer submitting a clean initial file.

Run your next complex loan file through Autyn. Schedule a demo to see how it works on a file of your own.