Use Cases

Every vertical. Same methodology. Different data.

The FORGE four-phase methodology is the same everywhere. The source systems change. The asset types change. The classification rulesets change. The process does not.

IBR

Solar + Battery Storage

Utility-scale solar and BESS portfolios with no centralized IT/OT infrastructure. Data scattered across inverter OEM portals, BESS manufacturer systems, O&M contractor reports, financial models, and regulatory filings.

Source systems

SMA Sunny Portal / SolarEdge / Enphase

Tesla PowerHub / Fluence / BYD

Revenue and production meters

O&M contractor maintenance logs

PPA financial models (Excel)

GADS, EIA-860, EIA-923 filings

FORGE output

Site-level record with capacity, COD, PPA terms

Interconnection record with POI specs

Per-inverter block: model, firmware, performance ratio

Per-BESS unit: chemistry, SOH, cycle count, warranty

Meter and weather station records

Full provenance chain to every source

Governance mapping: IBR_AIGF → PRC-028 / PRC-029 / PRC-030

PWR

Power Generation + Transmission

Medium and High Impact BES Cyber Systems. SCADA historians, EMS, relay management systems, maintenance databases. CIP-015-1 INSM deadline approaching October 2028.

Source systems

SCADA / EMS / DCS

OSIsoft PI / AspenTech historians

SEL relay management systems

Maximo / SAP PM maintenance

CIP evidence vaults

NERC compliance databases

FORGE output

Per-facility: generation units, transformers, breakers

Per-substation: relays, RTUs, communication paths

BES Cyber System classification mapping

Electronic Security Perimeter documentation

Maintenance and outage history per asset

Full CIP evidence provenance chain

Governance mapping: PWR_AIGF → CIP-002 through CIP-015

PIPE

Pipeline Operations

Natural gas transmission and distribution. Compressor stations, metering facilities, control systems. TSA Security Directives creating new compliance obligations alongside existing PHMSA requirements.

Source systems

SCADA / Gas control systems

Compressor station monitoring

Metering and measurement systems

Pipeline integrity management (ILI data)

HCA proximity databases

PHMSA reporting systems

FORGE output

Per-segment: diameter, pressure, material, age

Per-compressor: model, capacity, maintenance status

Per-meter: type, calibration, reporting interval

HCA classification and proximity mapping

PSM coverage documentation

Critical facility designation records

Governance mapping: PIPE_AIGF → TSA SD-01/02, PHMSA 49 CFR 192, API 1164

ENT

Enterprise AI Systems

Fortune 500 companies deploying AI across departments. AI systems embedded in vendor platforms, purchased by individual teams, inherited through acquisitions. No centralized AI inventory.

Source systems

IT CMDB / ServiceNow

ML model registries (MLflow, Weights & Biases)

Vendor SaaS platforms with embedded AI

Cloud AI services (Azure, AWS, GCP)

HR systems (AI in hiring/screening)

Procurement records (AI vendor contracts)

FORGE output

Per-AI system: purpose, owner, data inputs, decision scope

Per-vendor AI: contract terms, SLA, data handling

Per-model: version, training data, deployment status

Risk classification per EU AI Act / state laws

Department ownership mapping

Full discovery provenance documentation

Governance mapping: ENT_AIGF → EU AI Act, CO SB 24-205, NYC LL144, SR 11-7

Same methodology. Any vertical. Any asset.

If your data is scattered, the conversation starts with Discovery.

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