Manual review does not scale with the book. Most origination pressure comes from data gathering rather than from credit judgment.

Files read by hand. Analysts work through documents in many formats and languages. The first hours of every case go on finding the numbers.

Policy that lives in someone's head. Checks are applied unevenly from one analyst to the next. Consistency depends on who picked up the file.

Numbers reconciled manually. Accounts, tax filings and the financial model are compared by hand. Gaps surface late, if at all.

An audit trail built afterwards. The reasoning behind a decision is reconstructed from email when someone asks. That work adds nothing to the next deal.

Risk Llama helps credit and risk teams spend their time on judgment

The AI Data Room. Upload the borrower file and let the engine read it. Risk Llama classifies every document, reads across the whole file, and pulls the figures out for you.

Ingest financials, statements, IDs, tax filings, valuations and contracts.

Classify every document automatically, in any format and multiple languages.

Extract the figures your policy depends on without manual keying.

Your credit policy, applied evenly. Run the same checks on every file, in your thresholds. Every check comes back pass, flag or fail with the evidence and the reason attached.

Calculate the ratios your credit policy depends on and test them against your thresholds.

Confirm identity, security, valuations and structure across the file.

Reconcile audited accounts, tax filings and the model, and flag gaps.

A copilot, not a decision engine. Keep the credit decision with your credit team. Risk Llama produces a scored case and a clear recommendation that sits alongside your origination workflow.

Return a readiness score with the reasoning visible on every check.

Keep a full audit trail on every assessment as the work happens.

Configure checks and thresholds to your credit policy, with no vendor wait.

Designed for faster credit decisions with the evidence already attached

The aim is to make origination easier to run, easier to evidence and easier to explain. In trade finance the same engine cut analyst workload 50 percent and supported a $75m-plus facility. Your documents stay in your tenant with Llama Vault, and never train our AI.

For Heads of Credit. Take on more volume without lowering the standard the committee expects.

For Credit Risk Officers. See how consistently policy was applied across the book, not just on one file.

For Credit Underwriters. Start from a scored case with the evidence attached rather than a folder of PDFs.

Run origination from one place, with less gathering and more judgment.

If your team is still reading borrower files by hand, we can show you a faster operating model. Book a live demo and bring one of your own files.