Reading Loan Product Advisor Findings in 2026: LP Finding Codes and What They Mean

Loan Product Advisor (LP) is Freddie Mac's automated underwriting system. Like DU, it determines whether a loan qualifies for automated approval, but it uses a different model and produces different finding codes. Understanding LP findings is essential for every originator working the Freddie Mac channel.

LP Finding Categories

• ✦Accept: equivalent to DU Approve/Eligible; loan meets Freddie underwriting criteria for automated approval
• ✦Caution: loan does not meet automated criteria; unlike DU Refer, Caution findings are less frequently pursued through manual underwriting
• ✦Ineligible: loan does not meet Freddie Mac program requirements regardless of the risk assessment
• ✦Error: data inconsistency or missing fields in the submission; fix the data and resubmit

The Feedback Certificate

The LP Feedback Certificate is the output document that contains the finding, risk class, and all conditions and messages. Every Freddie Mac loan requires the certificate to be retained in the file. Freddie Mac assigns a risk class (low, average, or high) independent of the Accept or Caution finding. The risk class influences the documentation level required. All certificate submissions must be retained; do not overwrite prior certificates when resubmitting.

LP Documentation Waivers

LP offers two key documentation relief options. Automated Collateral Evaluation (ACE) can waive the appraisal requirement for qualifying refinances and some purchase transactions; the waiver appears in the Feedback Certificate when available. Asset and Income Modeler (AIM) can waive income and asset documentation for qualifying borrowers through third-party verification. Both waivers require the lender to have opted into LP's data validation service.

Representation and Warranty Relief

LP Accept findings with accurate data submissions earn Freddie Mac's Relief from Representation and Warranty on specific loan attributes. This R&W relief is tied directly to the accuracy of the data submitted to LP. Inaccurate submissions lose the relief. The implications for lenders are significant; loan officers should ensure the data they submit to LP matches the actual file documentation.