
Sign up to save your podcasts
Or


š MISMO Micād Up
Guest: Andrew Liput
Founder & CEO, Secure Insight
Episode Overview
Artificial intelligence is rapidly reshaping the mortgageindustryābut are lenders ready?
In this episode of MISMO Micād Up, Brian Vieaux sits downwith Andrew Liput to unpack where the mortgage industry truly stands in the AIjourney, the regulatory realities emerging at the state level, and whygovernanceānot speedāwill determine long-term success.
From agentic AI platforms and robo-dialers to repurchaserisk and black-box decisioning, this conversation cuts through the hype anddelivers practical guidance for lenders navigating AI adoption responsibly.
Key Discussion Topics
ā¾ Where Are We in the AI Game?
AI today is programmed to āthink, create, and produceāfaster and more efficiently than humansābut that doesnāt eliminate lenderresponsibility.
š¤ What Is āAgentic AIā?
Andrew explains the rise of agentic AIātools capable ofautonomous interaction that mimic human behavior.
The core question:
Can AI legally and ethically perform activities reserved for licensedindividuals?
š The RegulatoryLandscape Is Forming
State regulators are beginning to issue guidance:
Upcoming guidance expected from:
Key takeaway:
Thereās nothing ānewā in these bulletinsābut regulators are shining a spotlighton AI risk.
You canāt outsource compliance to a vendor. If AI createsharm, the lender is on the hook.
š āKnow Whatās in theSausageā
Andrew uses a memorable analogy:
If AI is the black box that makes the sausage, you need tounderstand whatās inside.
Black-box opacity + speed + scale = amplified exposure.
š£ Speed & Scale =Accelerated Risk
AIās greatest strength is also its biggest threat:
You canāt originate your way out of that kind of liability.
š The TCPA & RobocallRisk
Andrew shares a real-world example of AI robocalls offeringloan approvals without proper identification.
Concerns include:
AI dialers operating at scale without proper safeguardscould create catastrophic financial exposure.
š¢ Internal AI vs.Consumer-Facing AI
Not all AI carries the same risk.
Lower Risk:
Higher Risk:
The distinction matters.
š Vendor Oversight IsCritical
The explosion of new AI vendors entering mortgage means:
Lenders must strengthen:
Loan officers entering borrower data into open AI toolscreates privacy risk most lenders havenāt fully addressed.
šÆ The One PrincipleLenders Should Anchor On
Andrewās final advice:
Donāt compromise on oversight.
AI adoption without governance is exposure.
Why This Matters Now
The MBA Residential Board of Governors has made AI a topindustry priority. MISMOās AI Community of Practice is working towardframeworks that help lenders establish guardrails for responsible adoption.
AI is comingāfast.
But responsible adoption requires deliberation, documentation, and discipline.
Standout Quotes
āYou canāt just say, āThe AI told me to do it.āā
āKnow whatās in the sausage.ā
āSpeed and scale amplify risk.ā
āDonāt compromise on oversight.ā
Final Takeaway
AI will absolutely shape the future of mortgage lending.
But success wonāt go to the fastest adopters.
It will go to the lenders who balance innovation withgovernance, oversight, and accountability.
We may be in the first inningābut the score will bedetermined by how responsibly we play the game.
By Brian Vieaux, President MISMOš MISMO Micād Up
Guest: Andrew Liput
Founder & CEO, Secure Insight
Episode Overview
Artificial intelligence is rapidly reshaping the mortgageindustryābut are lenders ready?
In this episode of MISMO Micād Up, Brian Vieaux sits downwith Andrew Liput to unpack where the mortgage industry truly stands in the AIjourney, the regulatory realities emerging at the state level, and whygovernanceānot speedāwill determine long-term success.
From agentic AI platforms and robo-dialers to repurchaserisk and black-box decisioning, this conversation cuts through the hype anddelivers practical guidance for lenders navigating AI adoption responsibly.
Key Discussion Topics
ā¾ Where Are We in the AI Game?
AI today is programmed to āthink, create, and produceāfaster and more efficiently than humansābut that doesnāt eliminate lenderresponsibility.
š¤ What Is āAgentic AIā?
Andrew explains the rise of agentic AIātools capable ofautonomous interaction that mimic human behavior.
The core question:
Can AI legally and ethically perform activities reserved for licensedindividuals?
š The RegulatoryLandscape Is Forming
State regulators are beginning to issue guidance:
Upcoming guidance expected from:
Key takeaway:
Thereās nothing ānewā in these bulletinsābut regulators are shining a spotlighton AI risk.
You canāt outsource compliance to a vendor. If AI createsharm, the lender is on the hook.
š āKnow Whatās in theSausageā
Andrew uses a memorable analogy:
If AI is the black box that makes the sausage, you need tounderstand whatās inside.
Black-box opacity + speed + scale = amplified exposure.
š£ Speed & Scale =Accelerated Risk
AIās greatest strength is also its biggest threat:
You canāt originate your way out of that kind of liability.
š The TCPA & RobocallRisk
Andrew shares a real-world example of AI robocalls offeringloan approvals without proper identification.
Concerns include:
AI dialers operating at scale without proper safeguardscould create catastrophic financial exposure.
š¢ Internal AI vs.Consumer-Facing AI
Not all AI carries the same risk.
Lower Risk:
Higher Risk:
The distinction matters.
š Vendor Oversight IsCritical
The explosion of new AI vendors entering mortgage means:
Lenders must strengthen:
Loan officers entering borrower data into open AI toolscreates privacy risk most lenders havenāt fully addressed.
šÆ The One PrincipleLenders Should Anchor On
Andrewās final advice:
Donāt compromise on oversight.
AI adoption without governance is exposure.
Why This Matters Now
The MBA Residential Board of Governors has made AI a topindustry priority. MISMOās AI Community of Practice is working towardframeworks that help lenders establish guardrails for responsible adoption.
AI is comingāfast.
But responsible adoption requires deliberation, documentation, and discipline.
Standout Quotes
āYou canāt just say, āThe AI told me to do it.āā
āKnow whatās in the sausage.ā
āSpeed and scale amplify risk.ā
āDonāt compromise on oversight.ā
Final Takeaway
AI will absolutely shape the future of mortgage lending.
But success wonāt go to the fastest adopters.
It will go to the lenders who balance innovation withgovernance, oversight, and accountability.
We may be in the first inningābut the score will bedetermined by how responsibly we play the game.