ESG OPERATING SYSTEM LABGoverned sustainability intelligence
ANVAYA LABS · ESG OPERATING SYSTEM

Turn ESG reporting into an operating system.

Enter activity data, apply versioned factors, calculate sustainability performance, test data quality, trace every KPI to evidence and see reporting readiness across a governed utility ESG metric catalogue.
Governed metric catalogue147 metrics
Environmental / Social / Governance / Utility51 / 45 / 31 / 20
Source-system categories23
Framework / standards references21
Model principleValue → Calculation → Source → Evidence
01 · STARTING POINT

Choose an ESG operating scenario

Illustrative utility data only — every input remains editable.

01 · CONFIGURE & INPUT

Activity data and factors

Climate, GHG & Energy Core
Water, Waste & Environment Environmental
People, Workforce & Safety Social
Governance, Supplier & Assurance Governance
Utility Sustainability Intelligence Utility
Data Quality & Approval Assurance
The FSD defines the data-quality score as a configurable weighted combination of completeness, validity, timeliness and approval. This lab uses equal 25% weights by default.
Versioned Emission / Rate Factors Editable
Diesel EFkgCO₂e / litre · illustrative
Natural gas EFtCO₂e / MWh · illustrative
Grid electricity EFtCO₂e / MWh · illustrative
Market electricity EFtCO₂e / MWh · illustrative
SF₆ GWPkgCO₂e / kg gas · configurable
Refrigerant GWPkgCO₂e / kg gas · demo blend
TRIR hours factorconfigurable
LTIFR hours factorconfigurable
02 · ESG OPERATING REPORT

Saudi Utility · Operating Baseline

Governed demo

Ready to calculate

Inputs ready
Total GHGCalculated
—MtCO₂e
Scope 1 + selected Scope 2 + Scope 3
GHG intensityCalculated
—tCO₂e/MWh
Approved emissions / energy delivered
Renewable shareCalculated
—%
Renewable energy / total energy
Data qualityGoverned
—/100
Completeness + validity + timeliness + approval

Anvaya interpretation

Explainable

Run the lab to convert the governed ESG metrics into a concise executive view of material emissions, utility sustainability risks, data gaps and the next action to test.

GHG inventory decomposition

Scope 2 keeps location- and market-based values separate.

GHG Protocol logic

Environmental circularity

Water, waste and resource-efficiency indicators.

People & safety

Saudi workforce, training and injury-frequency indicators.

Utility sustainability

Network efficiency and customer reliability indicators.

Data lifecycle

FSD maker-checker / assurance progression.

Traceable

Priority action queue

Illustrative issues derived from the entered values.

Framework readiness

Indicative readiness based on governed data quality and metric coverage.

Not legal applicability

Governance & supply chain

Selected board, supplier, procurement and assurance indicators.

03 · GOVERNED METRIC MASTER

All 147 ESGOS parameters

147 / 147 loaded
IDPillarThemeMetricUnitFrequencyCriticalityOwnerSource TypeSaudi Relevance
Showing 147 metricsClick any metric for definition, calculation, validation, source, evidence, boundary and framework mapping.
Research / product demonstration. The lab is built from the Anvaya Intelligence ESGOS utility FSD and governed metric model. Values and factor defaults in this public-facing prototype are synthetic/illustrative and are not Saudi Energy operational data, official emission factors, regulatory determinations or assurance conclusions. Production ESGOS should use approved customer boundaries, factor versions, source contracts, evidence and framework applicability.