Pain Point
Files read by hand
Credit teams read files by hand, in many formats and languages. Hours go into gathering data before the assessment even starts.
Banking & Lending
Risk Llama helps heads of credit, credit risk officers and underwriters underwrite the borrower's file in minutes by connecting documents, policy checks, evidence and recommendations for human review.

The Problem
Most underwriting pressure comes from coordination, not capability. Files are read by hand, in many formats and languages, against a policy that lives in someone's head.
Pain Point
Credit teams read files by hand, in many formats and languages. Hours go into gathering data before the assessment even starts.
Pain Point
The borrower's file arrives in pieces, through inboxes and attachments. Nobody can say what is complete without checking by hand.
Pain Point
When the credit policy is not written into the workflow, checks are applied unevenly. The same file can get a different review on a different day.
Pain Point
A small team cannot take on more volume without dropping its standards. Growth becomes a queue instead of a decision.
The Product
Risk Llama analyses the borrower file against the credit policy you configure and returns a scored case with evidence and reasons. Analysts verify the result and retain the final decision.
The AI Data Room
Upload the borrower file for classification and analysis against the checks defined in your credit policy, with supporting evidence returned for analyst review.
Ratios
Calculates the ratios your credit policy depends on and tests them against your thresholds.
Identity consistency
Confirms the same legal name across IDs, incorporation records, and signed agreements.
Security and collateral
Checks valuations and security documents against the facility.
Numbers that should agree
Reconciles audited accounts, tax filings, and the financial model, and flags gaps.
Structure and approval
Confirms the financing is documented and approved under the right structure, including Islamic finance structures.
Screening
Sanctions, ownership, and reputation signals.

Origination Workflow
Risk Llama is designed to sit alongside your origination workflow, not replace it. It is a copilot, not an auto-decision engine. The final credit decision always stays with your credit team.
Built for Banks
Use single-tenant deployment and supported data residency options through Llama Vault. Customer documents are not used to train the AI model.

Proof
A multi-product fintech cut manual case reviews by 70% and shortened its time-to-yes.
50%
Less analyst workload
2x
More files per analyst
70%
Fewer manual case reviews
Who It Helps
The aim is to make underwriting easier to run, easier to evidence and easier to explain.
Take on more volume without dropping standards, with every check applied the same way on every file.
See how each case was scored, with the evidence, the reasons and a full audit trail behind every decision.
Spend time on judgement, not data gathering. The file arrives classified, reconciled and scored.
Risk Llama
See how Risk Llama classifies borrower documents, applies configured checks and returns evidence for your credit team to review.
See it read one of your borrower files. Book a live demo and watch Risk Llama run your credit policy in minutes.