Compliance and Disclosure Management
Work out which disclosures a loan triggers, draft them from your templates, and track the delivery deadlines and records that make the file defensible.
About this use case
AI assistants can help lending teams navigate regulatory requirements by ensuring disclosures are generated, delivered on time, and properly documented. For loan ops teams, AI reduces the risk of violations and helps maintain auditable records across the loan lifecycle.
An AI assistant combines loan data with current regulatory requirements, automatically identifying which disclosures apply and generating compliant documents against regulatory deadlines, creating a defensible compliance posture.
That includes drafting a Loan Estimate against the three-business-day TRID deadline, populating an ECOA-compliant adverse action notice with the matching HMDA register entry, and checking a file against the disclosures and rate caps of the state it will close in.
Documents to consider
- Regulatory requirements (TRID, RESPA, TILA, ECOA, HMDA)
- Disclosure templates
- State-specific lending requirements
- Compliance checklists and exception logs
- Policy and procedure manuals
The prompt
Written to be pasted straight into your AI assistant, with the documents it asks for attached. Request access below and we’ll send it over.
Files
Nothing to download here. This prompt runs against your own institution’s material — the documents it lists above.
More in Lending & Credit
Loan Officer Document Collection
Sort an incoming loan package, pull the key figures with citations, and list what is missing or inconsistent before it reaches underwriting.
Borrower Communication and Status Updates
Draft the status update, document chase or closing checklist a borrower needs, in approved language and with the right disclosures attached.
Pre-Meeting Intelligence Prep
Build a briefing before a borrower meeting: relationship history, performance and covenant status, financial trend, and the points worth raising.