Bring the five FleetFusion driver-risk signals into a single explainable score, then understand why risk is changing and how to respond.
Pre-launch concept. Insurance products, underwriting arrangements and availability are subject to confirmation. This website does not issue insurance quotations or provide cover.
Scale: 0-100. Higher means greater illustrative risk; lower means lower illustrative risk. Routine: 0-44; medium: 45-69; high: 70-100. Trends compare with the previous synthetic month.
Observation window: 1 May-16 October 2026. Dataset updated: 17 October 2026. Four example drivers have all five inputs; one has stale coaching and unavailable maintenance data, so no combined score or trend is shown.
Scores and factor indices are invented illustrative scenarios, not a weighted or actuarially validated model. They are not probabilities of a claim and do not determine a premium. Fleet charts show a separate fictional portfolio, not an average of the five example drivers.
Maintenance issue counts describe reports, not blame or severity. A production model would need to distinguish defect severity, overdue repairs and repair responsibility, with underwriting and actuarial approval.
James Carter · Five-signal explanation
Suggested review: Prioritise a human review of telematics events, vehicle defects and recent coaching. This is an illustrative rule, not a validated prediction.
Athena coaching is described by FleetFusion. A PlatformFusion integration is proposed, not connected in this demonstration.
Compare trends and risk bands.
Inspect available, permissioned evidence; the demo has no video integration.
Capture interventions, response and accountability.
Review what changed without assuming a claim reduction.