Evidence review needs a clear structure. Reviewers spend more time assembling the evidence than weighing it.

Document collection. Files need a consistent folder structure so reviewers can find the evidence attached to each area of an assessment.

Survey evidence. Questionnaire responses and their uploaded files form part of the evidence record and need to remain connected.

Assessment checks. Review criteria need defined categories, checks and accepted evidence types before an assessment can be applied consistently.

Review outputs. Completed assessment results need a format that can be reviewed and downloaded for the wider due diligence process.

Manage documents, surveys and assessments, then let the engine run them

File management. Build a structured evidence library. Documents are uploaded into a folder structure that mirrors the assessment, so evidence sits where a reviewer expects to find it.

Upload documents into a consistent, reusable folder structure.

Preview files in place without downloading them first.

Classify documents so each one maps to the area it evidences.

Surveys. Collect survey evidence in context. Questionnaire responses and their attachments stay attached to the record they belong to rather than living in an inbox.

Send survey templates to the people who hold the evidence.

Track completion without chasing updates by email.

Reopen a survey when something needs to be revised or added.

Assessment criteria. Define the checks once, apply them the same way every time. Criteria are set up as categories, checks and accepted evidence types, then applied identically on every review, whether the engine runs them or a reviewer does.

Build a catalogue of categories, checks and accepted evidence types.

Accept or reject evidence against the criteria you defined.

Produce assessment results that can be reviewed and downloaded.

Automated assessment. Let the engine read the file and run your checks. Risk Llama classifies every document, reads across the whole file, and returns each check as pass, flag or fail with the evidence and the reason. Risk Llama recommends and your team decides.

Classify and read every document in the file automatically, in multiple languages.

Run your defined checks and return pass, flag or fail with the reason attached.

Produce a scored case and a recommendation for your team to decide on.

Designed for due diligence teams and the people they ask for evidence

The aim is to make evidence review easier to run, easier to evidence and easier to explain. Your documents stay in your tenant with Llama Vault, and never train our AI.

For Banking and Lending. Assemble the borrower file once and review it in a consistent structure.

For Underwriting. Bring the submission pack into a workspace built for review rather than storage.

For Compliance. Keep the checks, the evidence and the outcome in the same record.

For Corporates. Run supplier and counterparty diligence through one structured workspace.

For Government. Hold sensitive evidence in a single-tenant environment inside your jurisdiction.

Bring due diligence evidence into one workspace, and let it be read.

See how Risk Llama manages documents, survey responses and assessment checks, then reads the file in minutes. Book a live demo and bring your own file.