AI Adoption in Mortgage Servicing Is Accelerating. Here's What You Need to Know.

HousingWire published an article last week covering our latest white paper, The Mortgage Servicer’s Strategic Guide to AI Adoption. The piece highlights what we’re seeing across the industry and where the real challenges are for servicers trying to move from interest to execution.

Here’s a look at what the guide covers and why we wrote it.

The Numbers Are Moving Fast

AI adoption among mortgage servicers more than doubled between 2023 and 2025, rising from 15% to 38%. Servicers who moved early are reporting 30-50% reductions in customer service costs and 25-40% decreases in document processing expenses. These are production numbers from real deployments.

But for every servicer executing, there are several more stuck in the same spot: they know AI matters, they’ve seen the demos, and they still can’t figure out where to start.

The Problem Isn’t the Technology

Most servicers aren’t held back by a lack of AI tools. They’re held back by legacy systems that weren’t built for real-time data access, internal teams that are already stretched, and the reality that hiring a data science team isn’t in the budget.

As I told HousingWire: “They don’t know where to get started. What we do is a foundational assessment of readiness to implement AI, and that’s generally to understand what the big needs at the moment are, what their technology looks like, current capabilities, and where they want to be six months, one year or further down the road.”

The organizations making progress aren’t trying to do everything at once. They’re picking one or two manual processes that cost the most time and margin, automating those first, and building from there.

Regulatory Pressure Is Real

Freddie Mac’s AI governance framework took effect in March 2026. Every approved seller and servicer is now required to have formal AI and ML governance in place, including senior management sign-off, AI-specific threat assessments, and ongoing audits.

The Colorado AI Act takes effect in June 2026. CFPB guidance on adverse action notices applies to all AI-driven decisions regardless of the technology used.

Many servicers don’t realize that tools already embedded in their vendor platforms may qualify as AI under these frameworks. A thorough inventory is a critical first step.

What the Guide Covers

We wrote this guide to give servicing leaders a practical, no-nonsense roadmap. Here’s what you’ll find inside:

• Where AI is delivering measurable results in servicing right now, with specific examples
• A tiered framework for prioritizing use cases by ROI, feasibility, and regulatory risk
• Build vs. buy analysis: when vendor solutions make sense and when custom development is worth the investment
• What Freddie Mac, the CFPB, and state regulators expect from AI governance
• Realistic cost projections by servicer size
• A four-level maturity framework from foundation to transformation

This is written by a team that works inside mortgage servicing every day. Not vendor marketing. Not generic AI advice. A practical guide for the people who actually run servicing operations.

Download the Full Guide

Read the HousingWire article here: AI is reshaping mortgage servicing, but adoption is the challenge