A
Review a signed synthetic case
Walk through an existing signed evidence record. No identity, PIN, or account is required.
AI PERFORMANCE. SHARED EVIDENCE.
The result changed.
The evidence
shouldn't disappear.
One record the insurer, AI vendor and customer can examine. See the agreed terms, the original result and the correction that changed it.
Working synthetic demonstration. No customer, carrier integration, coverage relationship or independent witness is represented.
CASE 017 / THE CORRECTION IS THE POINT
ORIGINAL RECORDREVISED RECORD
95.00%19 of 20 accepted
Threshold met
Threshold met
1 source observation
corrected
corrected
90.00%18 of 20 accepted
Threshold not met
Threshold not met
Both versions retained. Correction linked. Insurance judgment stays separate.
Terms fixed before measurementModel · metric · threshold · window
Observations connectedSource references behind the result
Corrections kept in contextOriginal history stays intactBEYOND RECEIPTING / WHY THIS MATTERS
Same evidence.
Independent judgment.
A percentage alone is not the whole story. Keep the measurement terms, observations and subsequent corrections available to the people who need to examine them.
AI vendor + customerHIVE / SHARED RECORDInsurer + reviewer
One correction. A different result.
In this fictional case, Northstar Insurance uses Atlas AI to assist with claims review. One recorded outcome is corrected after the original measurement. Hive retains both calculations and the signed history connecting them.
AGREED THRESHOLDAt least 95.00%
REFERENCE SET20 observations
REVISED RESULT90.00%
COVERAGE / PAYMENTNot determined
Illustrated data flow, not a live integration. The signed synthetic case can be checked in the demonstration.
TWO DISTINCT PATHS
Review first. Build only when you mean to.
B
Advanced demonstration
Build your own synthetic case
Create synthetic terms, observations, and corrections in your browser and sign them with a local demonstration identity.
Related evidence layers
The Studio connects to the existing account workspace, receipted feeds and triggers, the quasi-parametric trigger demonstration, and the separate insurance verifier. These are connected evidence layers, not separate product claims, carrier integrations, accepted pilots, live insurance feeds, or coverage decisions.
A technical measurement does not establish loss, causation, coverage, claim validity, or payment. Actual financial loss is separately required, reviewed, and supported before any coverage or payment question can be considered.
Discuss one bounded workflowOBSERVATIONAL SIDECAR / FAIL-OPEN
Beside the work.
Never in the way.
In a proposed deployment, Hive receives scoped observations alongside the existing workflow. If Hive is unavailable, operations continue. Any gap in the evidence remains explicit.
Existing workflowContinues independently
Hive evidenceScoped observationsProposed architecture. Hive does not approve coverage or payment.
FREE / SCOPED / SYNTHETIC DATA
Give your reviewers
something they can test.
Choose one performance threshold and one correction scenario. Agree the success criteria, then test whether your team can reproduce the result and identify missing evidence.
One workflow · one correction · one checkable package