AI Questions

No — a human review step is always in place by default. The AI is most powerful as an efficiency layer: it checks documents for completeness and validity, flags errors and inconsistencies, extracts and validates data, and applies pre-configured criteria to drive automated decisioning and pricing. The loan officer stays in control throughout origination.

OCR plus LLMs (not self-trained). The lender defines what to check and extract; it works on any document format, including handwritten ones, and won't fabricate — it explains what it found or didn't.

It simplifies the borrower's tasks, gives clearer guidance, and reduces confusion while keeping the lender in control of communication, review, and final decisions. Borrowers get a more modern, guided experience, but the relationship stays centered on the lender's expertise and judgment.

It can identify outside funding sources or capital partners whose buy-box may fit the loan, helping lenders preserve the relationship instead of turning the borrower away. This gives lenders flexibility to support borrowers even when a loan doesn't fit their own balance sheet, concentration limits, or internal credit appetite.

Yes. AI can organize requests, flag missing items, review documents, extract data, and keep each party aligned on what still needs to be done. Instead of chasing updates through email threads, each stakeholder sees the right tasks, documents, comments, and next steps in one controlled workflow.

Yes. Sweet can trigger conditional document requests based on loan type, borrower structure, entity role, loan amount, collateral, or other configured criteria — helping lenders collect the right information the first time without overwhelming borrowers.

Yes. Human review actions can be tracked, so teams can see who approved, rejected, edited, or overrode an AI-generated result. This keeps AI-assisted work auditable and gives credit, compliance, and operations teams confidence that final decisions remain under human control.

Yes. Sweet can use your existing underwriting model structure to extract, spread, and organize data in a format your team already understands — so lenders benefit from automation without abandoning the credit models, formulas, and review habits they trust.

Yes. The AI compares information across documents and flags mismatches, missing details, outdated information, or values that don't align. This helps underwriters spot issues earlier, reduce manual review time, and improve the quality of the loan package before a decision is made.