Structure the unstructured.
Every underwriting decision is a data decision first.
A file can be processed and still not be decision-ready.
Insurance SOVs arrive with inconsistent headers, ambiguous units, missing fields, conflicting values, duplicate locations, and international-address complexity. When those issues stay hidden, underwriting, exposure, and CAT teams re-scrub data instead of deciding risk.
Automation without verification is risk.
Speed matters only when the output can be understood and defended. Useful automation preserves the source, exposes ambiguity, and routes judgment instead of silently guessing.
Structure. Surface. Decide.
Our analysts verified submissions line by line for four years before a single SOV flowed straight through. That history is what the automation learned from. The schema, acceptance criteria, fallback owner, and downstream handoff are settled before the first file moves.
A hole in one
Files matching four years of verified patterns flow straight through. No human touch needed, source context retained.
Ambiguity, made reviewable
Surface uncertain mappings, missing information, and reconciliation issues for review.
Complexity routed, not hidden
Multi-tab monsters go to the analysts who trained the system, with decision context attached.
Underwriters should underwrite. Not clean spreadsheets.
Systems should handle repeatable preparation. People should resolve ambiguity and make risk decisions. Wizard moves repetitive SOV work away from the decision while keeping sources, exceptions, overrides, and ownership in view.
Scattered fields become reviewable exposure.
Keep scrolling to watch SOV Wizard map the workbook, organize location and exposure data, and make each result easier to review in context.
One exposure workflow. Two product layers.
Wizard helps insurance teams structure and review Statements and Schedules of Values in Excel, then carry that exposure data into triage, underwriting, and catastrophe-model workflows.
SOV Wizard
IMPLEMENTED · EXCEL-NATIVE WORKFLOWSOVs live in Excel. SOV Wizard works there too. Source columns, staging values, mappings, corrections, validation, geocodes, and model-format outputs remain part of a workbook-centered workflow. This reduces format-conversion handoffs and keeps review close to the source.
Map source columns and construction or occupancy values to an agreed staging schema, with review and correction in Excel.
Inspect location values, terms, mappings, geocodes, totals, and validation messages before export.
Review location context with configured map and geocoding services, including Google where enabled.
Prepare agreed catastrophe-model or custom model-format outputs after validation and review.
API INTEGRATIONS TO CATASTROPHE MODELS, RATER, AND UNDERWRITING WORKFLOWS
Looking Glass
IN PRODUCTION · EXPANDINGLooking Glass turns structured submissions into a visual underwriting workspace for triage, exposure intelligence, account comparison, interactive maps, and portfolio context, with source documents and workflow history still in view.
Filter by exposure and property attributes, then route selected submissions into manual or eligible STP workflows.
Move through configured portfolio, account, comparison, and location views to understand TIV, concentration, quality, and mapping status.
Explore locations through map and satellite views, Street View, clustering, and heat-map controls.
Review original emails and attachments alongside assignments, comments, versions, and status history.
Every decision-driving value should have a story.
Where did it come from? How was it interpreted? What changed? What remains unresolved? Who approved the result? That source-to-decision chain is Wizard’s operating standard.
MEASURED ACROSS PRODUCTION SUBMISSIONS AGAINST OUR OWN MANUAL BASELINE · FULL ASSUMPTIONS ON REQUEST
Proof should be scoped, reproducible, and reviewable.
From submission to decision, under agreed boundaries.
Wizard takes on defined workflow problems where the input, output, owner, acceptance criteria, data path, and commercial boundary are agreed before work begins.
SOV data preparation
Map and standardize difficult insurance schedules into an agreed schema; document exceptions and output requirements.
CAT-model workflow support
Prepare agreed exposure-data inputs and support modeling handoffs under a defined scope.
Underwriting workflow design
Diagnose intake, review, routing, and rework; automate steps with evidence, controls, and a clear fallback owner.
Rater modernization
Assess spreadsheet or macro workflows and define a governed modernization path. Build scope and integrations are approved separately.
Make the next SOV easier to trust.
The model is never the first step. The data is.
Bring us your ugliest SOV. We will show where mapping, location review, submission triage, and exposure intelligence remove friction while keeping human judgment in control.
PLEASE LEAVE CLIENT DATA OUT OF EMAIL · SECURE TRANSFER IS ARRANGED DURING EVALUATION