Opinion

A practical look at where automation can help, where it needs guardrails, and why the last stretch of a mortgage file still depends on judgment

August 6 was an important contractual checkpoint. The more consequential deadline is the day a GSE, regulator, investor, warehouse lender, or plaintiff asks the institution to produce evidence that its AI governance actually worked

Fannie Mae’s new requirements put AI oversight into practice, giving lenders a clear starting point for identifying risk and building responsible governance

AI can automate routine mortgage tasks, but loan officers who use that time to strengthen trust, communication, and client relationships may become more valuable

For independent mortgage bankers, developing sound judgment can strengthen recruiting, retention, and long-term performance

Oil shocks and geopolitical headlines are moving mortgage rates before the Fed acts, leaving originators little time to prepare borrowers and lock loans when opportunity returns

Why successful builder partnerships are built on trust, preparation, and consistent support long before the first loan application arrives

AI governance in mortgage servicing after the GSE mandates

The agency says proprietary and machine-learning models do not relieve lenders of their fair lending and disclosure responsibilities

The mortgage business is full of uncertainty. Developing the right mindset can help you handle setbacks, sharpen your focus, and build lasting confidence