F3.2 / Insurance Product Intelligence
Coverage & Exclusions Ontology
Structured coverage, exclusions, sub-limits, deductibles, add-ons, policy wording evidence, and plain-English term normalization across motor products.
Financial Services & Insurance
Insurance Product Intelligence
Scoped file delivery / Cloud/data-platform push
Schema preview
Coverage Ontology
What it captures
- Product, coverage type, and policy wording reference
- Exclusion, sub-limit, deductible, and add-on labels
- Plain-English normalized term
- Evidence URL/archive and captured date
- QA/confidence state and version hash
Decision workflows supported
- Product design
- Coverage benchmarking
- Compliance/transparency review preparation
- Value scoring beyond price
Buyer roles
- Motor underwriting teams
- Pricing and actuarial teams
- Product and distribution leaders
- Claims and repair strategy teams
- Data and AI teams
Delivery models
- Scoped file delivery
- Cloud/data-platform push
- Schema/API integration scoping
Decision workflows supported
Pricing strategy
Monitor offer changes, bundle mechanics, channel variance, and competitor moves.
CVM / retention
Feed churn, retention, and portfolio-risk workflows with structured market signals.
Data & AI ingestion
Use stable IDs, schema fields, evidence references, and version states in AI pipelines.
Regulatory transparency
Review public terms, fair-use labels, evidence, and change history without overclaiming legal status.
Sample structure
Non-downloadable field preview
This preview shows the record structure without presenting field examples as live data.
Dataset scope
Planned; market, source, and document availability dependent.
No legal interpretation or compliance guarantee is implied.
Source tier, Evidence URL or archive, Captured date, Screenshot or document reference where available, Version hash, QA/confidence state
Proof fields travel with the record.
Records are designed to preserve the source, capture state, and QA context needed for downstream review.
Offer change trail.
Related datasets
Adjacent signals
Next step
Request a sample or map this dataset to your workflow.
DAISORO can discuss market scope, evidence depth, delivery model, and sample structure for your workflow.