01 Overview
What eQuality is — and what it isn't
The eQuality scoring system converts parcel-level environmental conditions and operator behavior into a single, standardized score on a 300–850 scale. It is designed for institutional use by lenders, insurers, regulators, and portfolio managers who need a consistent, defensible environmental risk signal.
Every issued score is designed to support one of four capital actions: proceed, reprice, escalate diligence, or decline.
info
The external score output format is strictly e[score] — for example, e640. This is the only output format issued to institutional consumers.
02 Design Principles
Four non-negotiable principles
Every scoring decision in eQuality is governed by four actuarial principles. These are not guidelines — they are hard constraints built into the model architecture.
Principle 01
Uncertainty is penalized, not neutralized
Missing or incomplete data always results in a lower score. There is no pathway in which absent data improves or holds a score neutral.
Principle 02
Downside dominates upside
Negative environmental conditions carry more scoring weight than positive operator behavior. Inherited site liability outweighs claimed operator quality.
Principle 03
Tails matter more than means
Severe adverse conditions are penalized through fixed deductions that cannot be diluted or averaged away by domain-level performance.
Principle 04
Fail safe, not fail fair
Under ambiguity, the system defaults to the conservative position. No tie goes to the operator. Uncertainty is treated as risk.
03 Risk Domains
Six scoring domains
The eQuality score is constructed from exactly six domains. No additional top-level domain may be added without documented governance approval. Each domain input carries an evidence tier tag that identifies the provenance and reliability of the underlying data.
RR
Regulatory Risk
Exposure to regulatory enforcement, permit noncompliance, and unresolved violations. Driven by authoritative Tier 1 regulatory records.
Primary
CL
Contamination & Liability Risk
Confirmed or suspected contamination, hazardous use legacy, and plume proximity. The highest-penalty domain in the model.
Primary
RM
Remediation Risk
Open remediation status, closure type, timeline risk, and documentation completeness. Measures the cost and certainty of environmental resolution.
Secondary
SC
Site Context Risk
Environmental vulnerability, receptor proximity, land use exposure, and adjacent site risk. Captures geographic and contextual amplifiers of liability.
Secondary
OR
Operator Risk
Operator environmental management quality across controls, compliance, incident handling, and documentation. Capped when operator data is predominantly self-reported and unverified.
Orthogonal
DU
Data Uncertainty
Measures data completeness and reliability. A penalty mechanism only — it cannot improve a score. Gaps and conflicts always reduce the final score.
Penalty
05 Risk Tiers
Score-to-action mapping
Every eQuality score maps to a risk tier and a capital action. The tier classification is deterministic — the same score always produces the same tier and action under the same model version.
eScore
Tier
Classification
Capital Action
e800–e850
Tier 1
Preferred
Proceed
e720–e799
Tier 2
Standard
Proceed
e640–e719
Tier 3
Elevated
Reprice
e560–e639
Tier 4
High
Escalate Diligence
e300–e559
Tier 5
Severe
Decline
06 Confidence
Confidence is about data, not score value
Confidence reflects the quality and completeness of the underlying data — not how high or low the score is. A high score built on incomplete data will carry low confidence. A low score built on authoritative records will carry high confidence.
Confidence is classified as High, Moderate, or Low based on the Data Uncertainty score. It is a separate signal from the eScore and is included in every score output.
verified
High confidence means sufficient authoritative and verified data was available to compute the score. Low confidence means material data gaps or source conflicts were present — and the score reflects that through uncertainty penalties.
07 Institutional Overlays
Non-scoring context for institutional consumers
Designed for underwriters, portfolio managers, and reserving actuaries — providing structured context that the score alone cannot convey.
fact_check
Evidence Posture
A breakdown of the activated scoring inputs by evidence tier. Shows whether a score is driven by authoritative Tier 1 records or lower-tier inferred signals — making the provenance composition explicit and auditable.
verified_user
Verification State
Indicates whether the score inputs have been independently validated. States: Unverified (default), Professionally Verified, or Audited / Institutional. Feeds into operational control class determination.
corporate_fare
Operational Control Class
Classifies the behavioral posture of the operating entity based on the Operator Risk score and verification state. Ranges from verified stable control environment to gate review when data is insufficient to assess the operator.
warning
Tail Overlay Flags
Structured metadata flags for latent, non-standard, or catastrophic risk exposures — including emerging contaminants, subsurface migration risk, Superfund adjacency, and liability transfer scenarios. These do not modify the score; they inform actuarial reserving and reinsurance decisions.
08 Governance
Hard-coded governance rules
The following rules are non-negotiable constraints built into the scoring system. They govern how the model is maintained, versioned, and applied.
No silent model changes. Every formula, weight, or threshold change must be documented with a change log, rationale, and approver.
No score issuance without version ID. Every score output carries the model version under which it was computed.
No human override without a written reason code. Any manual adjustment must be documented with justification and retained in the audit trail.
Missing data always penalizes. No scoring pathway exists in which absent data improves or neutralizes a score.
Property evidence dominates. Verified property-level liabilities cannot be erased by unverified positive operator claims.
Any formula change requires backtesting. Model changes must be validated against the reference property set before deployment.
Historical scores are frozen. Previously issued scores are never retroactively recalculated under a new model version.
09 Standards Alignment
Regulatory and actuarial alignment
The eQuality methodology is designed to align with the following regulatory and actuarial standards governing modeling governance, environmental liability, and institutional capital frameworks.
ASOP No. 56
Actuarial Standards of Practice governing modeling governance, documentation, and validation requirements.
CERCLA
Comprehensive Environmental Response, Compensation, and Liability Act. Strict liability framework for contaminated property that underpins the scoring architecture.
Solvency II
Risk-based capital and internal model governance framework for insurers operating in regulated markets.
NAIC RBC / ORSA
Risk-based capital frameworks and own risk and solvency assessment for US insurance carriers.