Pranay Shetty
CEO & Co-Founder
59 articles
The Payoff Desk Is a Compliance Surface: Quoting Payoffs, Reinstatements, and Partial Payments With an AI Agent Under Regulation Z 1026.36(c)
A payoff quote looks like a lookup and is actually a per-diem calculation with a statutory delivery clock, a good-through date the borrower relies on, and a payment-application rulebook underneath it. Where servicers get the numbers wrong, why suspense accounts and late-fee pyramiding turn cashiering into a Regulation Z problem, and what an AI agent on the payoff desk is allowed to compute versus what stays with the servicer.
PMI Cancellation and Termination Is a Date Problem: How an AI Servicing Agent Tracks the Homeowners Protection Act Without Missing the 78 Percent Line
The Homeowners Protection Act runs on dates and percentages a servicer computes from the amortization schedule, not from the current balance. Automatic termination at 78 percent, borrower-requested cancellation at 80 percent, and a final termination at the midpoint that has no LTV test at all. Where servicers miss the line, why the errors are systematic rather than random, and what an AI agent that recomputes the schedule every day actually watches.
Conditions Clearing Is the Slowest Part of the Loan, and the Best Place to Put an AI Agent
The gap between conditional approval and clear-to-close is where cycle time goes to die. How an AI processing agent clears conditions inside the LOS without breaking the Reg B incompleteness clock or the TRID redisclosure rules.
Where AI Actually Takes Cost Out of a Mortgage: The Touches Worth Removing, the $11,000 Loan, and the Controls You Cannot Automate Away
The fully loaded cost to originate a mortgage has run above $11,000 per loan in recent MBA reporting, and most of that is human time. The instinct is to point AI at the whole process and watch the cost fall. That is the wrong model, because some touches are cost to be removed and others are controls that exist on purpose. A production leader's guide to which touches AI should take, which it should assist, and which have to stay human no matter what the cost pressure says.
AI at the Mortgage Point of Sale: Intake That Starts the TRID Clock Without Starting a Violation
How to put an AI agent in front of the borrower application without mishandling the six-piece application trigger, the three-day Loan Estimate deadline, or the Reg B adverse action clock. A use-case playbook for digital lending teams.
The CFPB Consumer Response Portal With AI Complaint Handling: The 15-Day and 60-Day Response Windows, the Portal Tag Discipline, and the Public-Database Read the Bank Cannot Ignore
Every complaint routed through the CFPB Consumer Response portal is a supervised, time-boxed compliance event with a 15-day acknowledgment, a 60-day substantive response, a specific issue-and-sub-issue taxonomy that becomes the public database, and a consumer-dispute flag the Bureau tracks. The rule reads simple and the operations misfire often. Where the AI agent tightens the intake, the response drafting, and the root-cause loop, and the audit file the Bureau tests against in an examination.
FinCEN's Residential Real Estate Reporting Rule Under Section 6403 With AI at the Title and Closing Table: The Nationwide Reporting Person Cascade, the Beneficial-Owner Capture, and What the December 1, 2025 Effective Date Actually Changed
FinCEN's final rule at 31 CFR 1031.320, effective December 1, 2025, replaces the geographic-targeted Real Estate GTO regime with a nationwide reporting obligation on residential-real-estate transfers to legal entities and trusts. The rule uses a reporting-person cascade, requires beneficial-ownership capture on every covered transfer, and imposes a specific 30-day filing window. What the rule actually requires, how the AI agent participates in the closing workflow, and where the compliance risk lands for title, settlement, and mortgage professionals.
Reg DD Truth in Savings (12 CFR 1030) With AI Deposit-Product Recommendations: The APY Formula the Rule Actually Prescribes, the Change-in-Terms Notice, and Where an AI Cross-Sell Crosses Into Deception
Reg DD is the deposit-side companion to Reg Z: it prescribes a single APY formula, requires specific account-opening and periodic-statement disclosures, and imposes a 30-day advance-notice regime for adverse changes in terms. The AI cross-sell that suggests a higher-yield product, the retention offer that promises a rate, and the chatbot that answers 'what's my rate?' are all Reg DD surfaces. Where the disclosures actually have to appear, and where an AI conversation crosses the line into a UDAAP problem.
CFPB 1041 Payday Rule Payment Provisions With AI in Small-Dollar Collections: The 2-Consecutive-Failed-Attempts Rule, the Payment-Notice Regime, and Where the Reauthorization Requirement Actually Lands
The CFPB's 2017 Payday Rule at 12 CFR Part 1041 had its underwriting provisions rescinded in 2020, but the payment provisions at Subpart C survived and became fully enforceable in 2022 after the Community Financial Services Association litigation. The two-consecutive-failed-payment-attempts rule, the reauthorization requirement, and the payment-notice regime are the specific compliance points every AI-driven small-dollar servicing operation has to run correctly. The rule mechanics and the operational architecture we run against them.
Flood Insurance Compliance in AI Mortgage Servicing: The FDPA 45-Day Force-Placement Clock, the Escrow Requirement, and the Zone Determination the Agent Cannot Fake
The Flood Disaster Protection Act is the servicing rule that turns a routine escrow account into a federal compliance surface the moment a property crosses into a special flood hazard area. The 45-day notice window at 42 USC 4012a(e), the mandatory escrow rule for federally-related mortgages, and the interagency Q&A on force placement produce a workflow the AI servicing agent has to run correctly on every affected loan. What we automate, what the servicer's flood officer still owns, and the audit file the examiner asks for.
Reg X Early Intervention and Single Point of Contact With AI Servicing Agents: The 36-Day Contact Rule, the 45-Day Written Notice, and the SPOC Assignment That Actually Has to Function
Reg X 1024.39 and 1024.40 turn the first six weeks of delinquency into a specific, timed servicer workflow: a good-faith attempt at live contact by day 36, a written notice with loss-mitigation options by day 45, and an assigned single point of contact for the borrower to reach. The rule reads easily and misfires often. Where the AI agent closes the timing gap, where the SPOC assignment stops being a shell, and the audit file the examiner tests against.
Bankruptcy-Case Mortgage Servicing With AI Agents: The 11 USC 362 Automatic Stay, the Reg X and Reg Z Bankruptcy Exceptions, and Where the Servicer's Voice Channel Has to Stop
The moment a borrower files bankruptcy, the servicing workflow the AI agent runs on a delinquency has to change. The automatic stay at 11 USC 362, the CFPB's bankruptcy-modified early-intervention rules at Reg X 1024.39(c), the modified periodic-statement rules at Reg Z 1026.41(e)(5), and the Chapter 13 escrow-analysis rules produce a specific bankruptcy-case workflow the servicer's operation has to run correctly for every filed borrower. What we automate, what we stop, and the audit file that survives a bankruptcy court's scrutiny.
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- Any loan type, any agency guideline or custom investor overlays.
- Every finding cited to the guideline or document it came from