Pranay Shetty
CEO & Co-Founder
51 articles
Elder Financial Exploitation on the Voice Channel: What the Senior Safe Act, FinCEN FIN-2022-A002, and the State APS Handoff Actually Ask the AI Agent to Do
Elder financial exploitation is the fraud pattern retail bank compliance teams talk about the least and lose the most on. The Senior Safe Act, FinCEN's 2022 advisory, and the state Adult Protective Services reporting statutes set the response the bank is expected to run when the agent detects it, and the voice channel is where most of the signal lives. The detection cues we score, the temporary-hold decision the agent does not make alone, and the reporting flow the branch does not have to design from scratch.
The Annual Escrow Analysis Under Reg X 1024.17: Aggregate Accounting, the Two-Month Cushion, and the Explanation the AI Servicing Agent Owes the Borrower
Escrow analysis is where servicing math meets borrower incomprehension, and where a small computational error at the servicer produces a large volume of borrower calls the agent has to answer accurately. Reg X 1024.17 sets the aggregate-accounting method, the two-month cushion limit, and the shortage/surplus/deficiency rules the analysis has to produce. The intake the agent runs so a borrower gets the actual explanation the analysis warrants, and so the servicer does not create an error under its own rule.
RESPA Section 8 and AI-Driven Mortgage Referrals: The Anti-Kickback Architecture for Lead Routing, MSAs, and Co-Marketing
Lead-routing scores, AI co-marketing tools, and pay-per-application platforms have rebuilt the mortgage referral economy in vocabulary that maps very cleanly onto the RESPA Section 8 'thing of value' standard. The posture we put in front of marketing and partnerships so an AI workflow does not produce a 12 CFR 1024.14 finding the next exam catches.
The SAFE Act Line for AI Mortgage Assistants: When Quoting a Rate Becomes Loan Origination and What NMLS Cares About
The SAFE Act and Reg G/H were written for human MLOs and the definition of 'loan originator' bites on any person who takes an application or offers or negotiates loan terms. AI assistants on the mortgage intake desk straddle that line without realizing it, and the state regulators that examine NMLS are starting to ask. The boundaries we hold the agent to so the institution does not have to sponsor a license for software.
GLBA Safeguards for AI Vendors: 16 CFR 314, the Interagency Guidelines, and the 30-Day Notification Bank IT Cannot Push to Anyone Else
The FTC's 2023 Safeguards amendments added a 30-day breach-notification duty and a list of nine information-security elements every covered non-bank financial institution has to encode. Banks operate under parallel Interagency Guidelines with their own notification rule. AI vendors sit inside both perimeters and the institutions we serve are running diligence and contract terms that anticipate what the next regulator will ask for.
California's Final ADMT Regulations for Banks and Lenders: What the CPPA Lands on Significant Decisions and What Is Due in 2027
The California Privacy Protection Agency finalized its automated decisionmaking technology regulations in late 2025, with phased compliance through 2027 and 2028. The pre-use notice, the access and opt-out rights, the risk assessment attestation, and the cybersecurity audit, applied to a bank or non-bank lender's AI agent on a California consumer.
Sei AI vs Observe.ai: Voice AI Built for Mortgage Lenders and Servicers
A detailed, mortgage-specific comparison of Sei AI and Observe.ai — from speed-to-lead and loan-officer appointment booking to FDCPA-compliant servicing calls and 100% QA against TRID, RESPA, and UDAAP.
Sei AI vs Genesys: Adding a Managed Mortgage AI Layer to Your Contact Center
A mortgage-specific comparison of Sei AI and Genesys — how Sei's fully managed lending platform (speed-to-lead, LO appointment booking, servicing, underwriting, and QC) runs on top of the Genesys contact center.
Sei AI vs Kastle: AI Voice Agents Across Mortgage Servicing and the Full Loan
A mortgage-specific comparison of Sei AI and Kastle — from payments, escrow, payoffs, and FDCPA-compliant collections to origination sales voice, underwriting, and post-close QC on one managed platform.
Sei AI vs Sela: AI Voice for Mortgage Origination — and Everything After
A mortgage-specific comparison of Sei AI and Sela — speed-to-lead, mortgage lead qualification, and LO appointment booking, plus the underwriting, income calculation, and QC that turn a lead into a funded loan.
Sei AI vs Marr Labs: AI Voice Agents for the Full Mortgage Lifecycle
A mortgage-specific comparison of Sei AI and Marr Labs — natural voice for lead qualification and servicing, plus the underwriting, income calculation, and QC that make Sei a managed end-to-end mortgage platform.
Regulation F for AI Voice Debt Collection: The 7-in-7 Ledger, the Limited-Content Message, and the Per-Debt Architecture
The CFPB's Regulation F call-frequency presumption, post-conversation wait, limited-content message, and channel opt-out rules are mechanical and per-debt. The agent design we run so an AI voice program does not inherit a 1006.14 harassment finding from a dialer it replaced.
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