Pain Point
Packs in no fixed format
Broker packs come in as PDFs, spreadsheets and email attachments. No two submissions look alike, so reading them does not scale.
Underwriting
Review submissions against appetite
Risk Llama helps underwriting managers, portfolio underwriters and managing general agents classify submission documents, apply appetite checks and return evidence for underwriter review.
The Problem
Inconsistent submission packs slow underwriting decisions
Most underwriting pressure comes from coordination, not judgement. Broker packs arrive in no fixed format, and the first hours of every submission go on finding the numbers.
Pain Point
Finding numbers, not risk
Underwriters spend the first part of every submission locating figures across the pack. The judgement work starts late.
Pain Point
Appetite applied unevenly
The same appetite rules get a different reading from one desk to the next. Consistency depends on who opens the file.
Pain Point
Incomplete packs reach the desk
Missing schedules and statements surface only after an underwriter has started work. The pack goes back to the broker and the clock restarts.
The Product
Apply appetite checks across the submission pack
Risk Llama analyses the submission pack against the checks and appetite rules you define, returning a scored case with evidence and reasons for underwriter review.
The AI Data Room
Review the complete submission against defined checks
Upload the submission for document classification and analysis across the checks defined by your underwriting team.
- Classify submitted documents across supported broker formats.
- Read across the proposal form, schedules and supporting statements in one pass.
- Return pass, flag, or fail on every check, with the evidence and the reason.
- ✓
Completeness
Confirms the pack contains what your appetite requires before it reaches an underwriter.
- ✓
Consistency
Reconciles figures and named entities across the proposal form, schedules, and supporting statements, and flags gaps.
- ✓
Identity and ownership
Confirms the same legal entity across incorporation records and signed documents.
- ✓
Screening
Sanctions, ownership and reputation signals on the insured and its principals.
- ✓
Beyond the checklist
Surfaces issues your checklist did not think to ask for.
Copilot, Not Auto-Rater
Keep pricing and the decision to bind with your underwriters
Risk Llama produces a scored case and a clear recommendation. It is a copilot, not an auto-rater. Pricing and the decision to bind always stay with your underwriters.
- Give underwriters a scored case with the evidence and the reasons on every check.
- Keep pricing and the decision to bind with your desk on every submission.
- Keep a full audit trail on every assessment.
Configurable to Your Book
Configure your appetite yourself, with no vendor wait
Appetite rules, thresholds, taxonomy and reporting are yours to set and change, with no vendor wait.
- Keep appetite rules and thresholds current as your book changes.
- Deploy single-tenant with data residency through Llama Vault.
- Keep your documents out of model training. Your documents never train our AI.
Proof
Proven on document-heavy underwriting.
In trade finance the same engine cut analyst workload 50 percent and doubled the files each analyst could handle. A multi-product fintech cut manual case reviews 70 percent.
50%
Less analyst workload
2x
More files per analyst
70%
Fewer manual case reviews
Who It Helps
Designed for underwriting you can evidence, desk by desk.
The aim is to make underwriting easier to run, easier to evidence and easier to explain.
For Underwriting Managers
Apply the same appetite rules the same way at every desk, and see how each case was assessed.
For Portfolio Underwriters
Start every submission with the pack read, reconciled and scored, so the judgement work starts sooner.
For MGAs
Handle more submissions without dropping standards, with a full audit trail on every assessment.
Risk Llama
Review submissions with evidence beside each check
See how Risk Llama classifies submission packs, applies configured appetite checks and returns evidence while underwriters retain pricing and binding decisions.
Bring a live submission pack and watch it read. Book a live demo.