When your AI vendor gets it wrong, you’re still responsible

The recent guidance from the OCC and GSE requirements highlights the importance of mortgage servicers being accountable for decisions made with the influence of vendor AI. This development matters to the construction industry because it underscores the need for transparency and reliability in the financing process, which is crucial for construction projects to move forward. As construction companies rely on timely and accurate mortgage servicing to secure funding for their projects, any errors or inaccuracies in AI-driven decisions can have significant consequences.

The fact that servicers are still responsible for account decisions influenced by vendor AI means that they must have robust oversight and monitoring mechanisms in place to ensure that AI systems are functioning correctly. This includes maintaining accurate AI inventories, negotiating stronger vendor contract terms, and implementing effective borrower notification procedures. For construction companies, this means that they can expect greater scrutiny and accountability from mortgage servicers, which may lead to more stringent lending requirements and tighter deadlines.

As the effective date of Fannie LL-2026-04 approaches on August 6, 2026, construction companies should watch for how mortgage servicers respond to these new requirements. They should expect more detailed questioning and documentation from servicers regarding their AI systems and vendor contracts. Construction companies should also be prepared to provide more information about their own use of AI and data analytics in their operations, as servicers may require this information to assess risk and make informed lending decisions. By understanding these developments, construction companies can better navigate the changing landscape of mortgage financing and ensure that their projects remain on track.

Originally reported by housingwire.com. ConstructionNews adds analysis for real estate & property readers.