What regulations are Sei's AI agents trained on?

Our agents are trained on FDCPA, TCPA, TILA, UDAAP, RESPA, Fair Housing Act, and HMDA. For document intelligence, we support Fannie Mae, Freddie Mac, and HUD guidelines, plus your internal policies and lender overlays.

How securely is borrower data handled?

We deploy within private VPCs with sandboxed environments per customer. We are PCI DSS L1 and SOC2 Type II certified with regular penetration testing. We never train on your data.

How is Sei different from other Voice AI platforms?

Sei is purpose-built for regulated finance. Every interaction is audited against regulations and your rulebooks with strict guardrails to prevent leakage of sensitive borrower information.

Does Sei integrate with my LOS and contact center?

Yes. We integrate with ICE, Genesys, RingCentral, Salesforce, and other loan management systems, CRMs, and CCaaS platforms with custom integration support during onboarding.

How long does it take to deploy?

Most customers are live within weeks, not months. We handle onboarding, policy ingestion, and integration setup with a dedicated account manager.

Can Sei incorporate my company's SOPs and guidelines?

Sei is built for customisation. Bring your own policies, servicing guidelines, and SOPs. Our agents adapt to your specific workflows and compliance requirements.

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Tag: HMDA

2 articlestagged “HMDA”

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Compliance

HMDA Data Integrity for AI-Driven Loan Origination: The Reg C LAR Fields, the Resubmission Threshold, and the Audit File That Survives

AI agents on the mortgage intake desk now populate a meaningful share of the 110 HMDA LAR fields before a human ever looks at the file. The Reg C accuracy rules and the CFPB resubmission threshold catch the gaps before fair-lending analysis ever runs, and the architecture has to make field provenance and correction provable per loan.

Jun 26, 202615 min read

Compliance

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.

May 15, 20266 min read

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Embed Sei AI in your workflows

Tell us about your operations. We'll show you how Sei handles borrower calls, processes loan documents, and monitors compliance for mortgage lenders and banks.

Deploy in weeks, not months
Trained on FDCPA, TCPA, TILA, UDAAP, and RESPA
SOC 2 Type II and PCI DSS L1 certified
Integrates with your LOS, CRM, and telephony

👉Our AI agents platform is now PCI DSS L1 certified!

Tag: HMDA

HMDA Data Integrity for AI-Driven Loan Origination: The Reg C LAR Fields, the Resubmission Threshold, and the Audit File That Survives

Fair Lending Testing for AI Agents: A Disparate Impact Playbook Under ECOA, HMDA, and the FHA

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