The Mortgage AI Field Guide
Page 8 of 11
Fair Lending Testing for AI Agents: A Disparate Impact Playbook Under ECOA, HMDA, and the FHA
A working method for fair-lending testing of AI agents used in origination, marketing, and servicing — covering disparate impact, less-discriminatory-alternative search, marketing steering, and the exam-ready file.
AI Agents for Mortgage Loss Mitigation: A Regulation X Playbook for Servicers
How servicers can deploy AI agents inside the CFPB's loss mitigation framework — covering Regulation X timing rules, the 2024 proposed amendments, language access, dual tracking, and the exam-ready audit pack.
Third-Party Risk Management for AI Vendors: An Interagency TPRM Playbook for Banks
How banks should run TPRM for AI vendors under the 2023 interagency guidance (SR 23-4, OCC Bulletin 2023-17, FDIC FIL-29-2023) — covering the diligence pack, contract terms, ongoing monitoring, and concentration risk.
Adverse Action Notices for AI Credit Decisions: An ECOA Reg B Playbook
What CFPB Circular 2023-03 means for lenders running AI/ML credit models — how to generate specific, accurate reasons for denial under ECOA Regulation B without falling back on the sample form checklist.
Model Risk Management for AI Agents: An SR 11-7 and NIST AI RMF Playbook
How banks and regulated lenders should govern AI agents under SR 11-7, OCC Bulletin 2011-12, and the NIST AI Risk Management Framework — covering inventory, validation, ongoing monitoring, and challenger models.
AI Agents for Credit Unions: An NCUA-Aligned Deployment Guide
A practical guide for credit unions deploying AI voice and chat agents — covering NCUA expectations, Reg E, share-draft language, member experience, and the small-shop realities of CU technology stacks.
Preventing AI Hallucinations in Bank Customer Service: A Grounding and Citation Architecture
How regulated banks can architect AI agents that do not hallucinate — covering retrieval grounding, citation enforcement, confidence gating, and the eval harness needed to keep policy-true answers in production.
Build vs. Buy: Should Your Bank Build an AI Agent or License One?
A decision framework for banks and credit unions weighing whether to build AI agents in-house or license a regulated-finance platform — covering total cost, time to value, model risk, and the in-house capabilities you actually need.
AI Claims Processing for Regulated Insurers: A Hands-On Field Guide
How regulated insurers can deploy policy-aware AI agents for FNOL, triage, documentation, fraud signaling, and subrogation — with audit trails and compliance guardrails.
From Bot to Banker: AI-to-Human Handoffs for Regulated Financial Institutions
How to build AI-to-human handoff experiences that are fast, compliant, and human-ready — for banks, lenders, servicers, credit unions, and insurers.
Building a Finance-Grade AI Assistant for Mortgage Loan Queries
How to build a policy-aware, multimodal AI assistant for mortgage queries — with consent handling, disclosure tracking, guideline-grounded answers, and audit-ready architecture.
From Dial Tone to Decision: A Hands-On Guide to Deploying Voice AI in Regulated Finance
A step-by-step guide to deploying voice AI agents in regulated finance — from pilot to production — covering disclosures, consent, PCI, audit trails, and integration with your LOS/CRM/CCaaS stack.
You Ain't Seen Nothin' Yet
- Any loan type, any agency guideline or custom investor overlays.
- Every finding cited to the guideline or document it came from