Halcyon and Freddie Mac Tackle Self-Employed Mortgage Hurdles with AI

FORT WORTH, TX – March 13, 2026 – A groundbreaking technological integration between financial services innovator Halcyon and mortgage giant Freddie Mac is set to dismantle one of the most persistent barriers in home lending: the complex and often frustrating process of securing a mortgage for self-employed individuals.

Halcyon announced today that its TrueTax™ solution is the first platform to deliver a comprehensive, dual-source tax dataset through Freddie Mac's Asset and Income Modeler (AIM). This new capability combines artificial intelligence analysis of borrower-provided tax returns with direct verification against official IRS tax transcripts, creating a powerful new standard for speed, accuracy, and fraud prevention in automated underwriting. The move promises to streamline a historically cumbersome process, potentially unlocking homeownership for a larger portion of the nation's growing entrepreneurial workforce.

The Growing Challenge of Self-Employed Mortgages

The American workforce is increasingly entrepreneurial. As of early 2022, nearly 16 million Americans identified as self-employed, a figure that has grown since the pre-pandemic era and is projected to continue its upward trend. This demographic, which includes gig economy workers, freelancers, and small business owners, represents a vital and expanding segment of the economy. Yet, when it comes to securing a mortgage, they often face significant headwinds.

Unlike salaried employees who can produce simple W-2s and pay stubs, self-employed borrowers present a more complex financial picture. Lenders must manually pore over years of detailed tax returns, including various schedules and forms, to calculate a qualifying income—a process that is not only time-consuming but also prone to human error and inconsistency. Research shows this complexity has real-world consequences: one study found that self-employed applicants are nearly twice as likely to have their mortgage applications rejected compared to their traditionally employed counterparts, with rejection rates as high as 23%.

"Self-employed borrowers represent tremendous growth opportunity for lenders, but manual income calculations and documentation fraud concerns have made this segment expensive and time-consuming to serve," said Kirk Donaldson, CEO of Halcyon, in the company's announcement. This new integration directly targets these pain points.

A Dual-Source Foundation for Trust and Speed

The core of Halcyon's innovation lies in its dual-source data methodology, now integrated into Freddie Mac's Loan Product Advisor® (LPA®), its automated underwriting system. The process is designed to be seamless for both the lender and the borrower.

First, the borrower provides consent and uploads their tax returns. Halcyon's TrueTax™ platform uses advanced AI-powered document intelligence to instantly read, interpret, and extract the necessary data, calculating qualifying income based on established agency standards. This step alone automates a task that could take an underwriter hours to complete manually.

Simultaneously, and with the borrower's authorization, the system retrieves the official tax transcripts for the same period directly from the Internal Revenue Service (IRS). This second, independent data source serves as the ultimate verification tool.

Freddie Mac's AIM then performs a critical comparison, validating that the key data points from the borrower-provided documents perfectly match the information on the IRS-sourced transcripts. This dual validation provides lenders with an unprecedented level of confidence, allowing LPA to deliver an automated income assessment almost instantaneously. Furthermore, it helps lenders meet the requirements for representation and warranty (R&W) relief from Freddie Mac on the accuracy and integrity of the income data, a significant benefit in risk management.

Raising the Bar on Fraud Prevention and Industry Standards

Beyond streamlining operations, the integration sets a new gold standard for fraud prevention in the mortgage industry. The risk of altered or fabricated income documents, while a concern across all lending, is particularly acute with complex, multi-page tax returns. By cross-referencing borrower submissions against immutable data from the IRS, the system can immediately flag discrepancies that might indicate fraud.

This level of verification is crucial for maintaining the integrity of the lending ecosystem. The process operates under stringent data security protocols, compliant with federal regulations like the Gramm-Leach-Bliley Act (GLBA) and the specific, rigorous security guidelines outlined in IRS Publication 107 for handling sensitive federal tax information. This ensures that while the process is fast, it is also exceptionally secure.

"By integrating dual source data with LPA's AIM, we're mitigating both obstacles simultaneously," Donaldson stated. "Lenders get automated calculations with confidence that comes from IRS data verification. It's efficiency and fraud protection in a single workflow."

The Next Step in Underwriting's Automated Evolution

This development represents a significant leap in the ongoing evolution of mortgage underwriting. While Freddie Mac has been working to automate self-employed income assessment for years, partnering with firms that used optical character recognition (OCR) to digitize tax returns, this is the first integration to combine AI-driven analysis of borrower documents with direct IRS transcript validation within its AIM platform.

This dual-source tax validation approach differentiates Halcyon's solution from other income verification technologies that primarily rely on open banking connections to pull bank statement data or direct-source payroll information. While those methods are effective for traditional employees, they don't fully address the unique documentation challenges of the self-employed. Halcyon's focus on the tax documents themselves—and their verification—provides a purpose-built solution for this specific market segment.

This innovation builds upon Halcyon's previous work with Freddie Mac. In 2023, the company was the first to leverage IRS-direct transcript data in AIM to assess income for sole proprietorships. This latest expansion broadens that capability, using AI to process more complex business and rental income types, further increasing the scope of automation.

The impact is expected to be felt across the board. For lenders, it means lower underwriting costs, faster loan cycles, and the ability to confidently serve a larger market. For underwriters, it eliminates tedious manual work and ensures consistency. And for the millions of self-employed Americans dreaming of homeownership, it means a faster, fairer, and more transparent path to a loan decision.

The expanded TrueTax integration is available for use by Freddie Mac-approved sellers effective immediately, signaling a new era for self-employed mortgage lending.

"Our first AIM integration gave mortgage lenders something new, automated income assessment for using IRS transcript data. Now we're expanding our capabilities using the latest AI-powered document processing to increase the scope of automation," Donaldson concluded. "The most complex borrower segment in residential lending finally has a purpose-built solution."