Three operational risk scores. One unified intelligence layer. The FICO score for attraction safety.
Every AS 360 score is built on the same core principle: no single data source controls the outcome. Each score ingests between 10 and 15 independent data streams — field audits, unannounced mystery shopping, incident and near-miss reports, guest feedback, corrective action pipelines, equipment inspection records, operator rotation logs, live weather, queue telemetry, and online review sentiment. The streams are intentionally diverse in source, cadence, and observer — some are internal, some are third-party, some are automated. When streams agree, confidence is high. When they diverge, that gap is the finding.
Raw data arrives in different shapes — Likert scales, binary pass/fail checklists, event counts, star ratings, continuous sensor feeds. Before any stream enters the composite, it is normalized to a common 0–100 scale. Likert fields are rescaled so the bottom of the scale maps to zero and the top maps to 100. Binary fields use a pass rate with non-applicable items excluded from the denominator. Rate-based streams like incidents and near-misses use a penalty-decay model where more events per observation period drive the score toward zero. The normalization layer ensures that a "72" means the same thing whether it came from a field audit or a weather feed.
Within each score, streams and individual checklist items are assigned fixed weights calibrated by actuarial signal strength — how strongly that signal predicts loss exposure. A restraint-check failure during a mystery shop carries more weight than a uniform violation. An incident with a severity rating of 4 penalizes harder than one rated 2. The weighting tables are proprietary to each score and are the core intellectual property of the platform. They are not published — they are available to partners and carriers under NDA.
Data enters the platform through purpose-built web tools deployed to the field — trained auditor checklists, mystery shopper observation forms, operator rotation loggers, incident reporting interfaces, and supervisor handoff records. Every tool writes directly to a structured database. There is no spreadsheet step, no email chain, no manual re-entry. External API feeds for weather, queue wait times, and online reviews are ingested automatically on fixed cadences. The scoring engine processes all inputs in real time, so the dashboard reflects the current state of the operation — not last month's report.
Each score operates on two layers. The headline composite is the aggregate risk posture — a rolling view of how the operation is performing across all pillars, suitable for insurance placement, board reporting, and trend analysis. Beneath it, the Operational Load Index (OLI) is a real-time signal that blends live feeds with the most time-sensitive audit and incident data to answer a different question: how stressed is this operation right now? A facility can have an excellent headline score and still show elevated OLI on a 95-degree Saturday with three rides down — and the platform surfaces both.
Many facilities aren't just one thing. A regional theme park runs coasters, a water park, and an FEC arcade floor under one gate. A boardwalk venue mixes flat rides with a splash pad and a trampoline zone. Each score stands alone — but when multiple scores are active at the same facility, they converge into the PIC, the industry's first whole-park risk index. A pure water park deploys SPLASH only. A hybrid park running dry rides, aquatics, and an entertainment zone deploys all three — and gets one number for insurers, ownership, and regulators.
All scores map to the same five-band scale.
Every AS 360 score supports benchmarking at multiple levels: facility-to-facility comparison across a portfolio, anonymized percentile ranking against peer cohorts of similar venue type and size, and period-over-period trending that shows insurers whether risk is improving or deteriorating. A single score is a snapshot. A trend line within a peer group is a story — and that's what underwriters and ownership groups actually act on.
Operators get a continuous risk dashboard that replaces gut instinct with data. Specialty insurers and MGAs get a structured, defensible risk signal for underwriting and portfolio management. Ride manufacturers get operator verification and service bulletin compliance data tied back to the assets they build.