Energy & Utilities

Energy companies operate under heavy compliance requirements and high document volume. AI handles the processing.

NERC CIP evidence packages assembled manually. Outage reports drafted from operational data exports. Customer call centers fielding billing and outage questions at high volume. ESG reports compiled from five different operational systems every quarter.

We build AI systems for energy and utilities companies that handle the compliance document processing, reporting, and customer inquiry layer, designed with OT/IT boundary awareness and regulatory data handling requirements in mind from day one.

How we work

Tell us about your compliance or reporting workflow.

What we build.

Five specific AI workflows for energy and utility operations.

Compliance document extraction and review

AI reads NERC/FERC compliance evidence packages, environmental permits, tariff filings, and inspection reports, extracting structured data and flagging missing or expired documentation before it reaches your compliance team.

Incident and outage report generation

Parse operational event data from your EMS/SCADA historian and generate structured incident and outage reports for internal review, regulatory notification, and post-event analysis, at the speed the regulatory timeline requires.

Customer inquiry automation

An AI agent handles inbound customer inquiries about billing, outage status, service requests, and rate programs, reducing call center volume for information requests while routing complex cases to human representatives.

Regulatory filing support

AI reads regulatory guidance documents, maps rule changes to your internal control library, and generates structured first drafts of compliance filings and comment letters, with source citations your regulatory team can verify.

ESG and sustainability report generation

Pull emissions data, renewable generation figures, safety metrics, and community investment data from your operational systems, and generate ESG report sections in SASB, GRI, or TCFD formats for your sustainability reporting team to review.

Who we build for.

Investor-owned utilities with heavy NERC/FERC compliance obligations
Municipal utilities and co-ops building operational AI on limited budgets
Independent power producers with reporting obligations to grid operators
Energy technology companies integrating AI into grid management platforms
Oil and gas operators with complex environmental compliance reporting

Who this isn't for.

Companies expecting AI to interface directly with SCADA or control systems
We build AI on the IT side of your OT/IT boundary, working with historian data exports, not real-time SCADA interfaces. We do not build AI systems that connect to or control operational technology systems.
Projects requiring real-time grid dispatch decision-making
AI for energy operations is appropriate for reporting, compliance, and customer service, not for real-time grid dispatch or safety-critical operational decisions. Those require certified control systems, not AI models.
Early-stage energy startups without operational data
Compliance reporting and incident analysis AI require operational history to be useful. Pre-operational startups without real generation or distribution data cannot use these systems productively.

Frequently asked questions.

How do you handle NERC and FERC compliance requirements?: NERC CIP and FERC compliance place specific requirements on information systems: access controls, audit logging, and in some cases data classification. We design AI systems with CIP-compliant access controls, comprehensive audit logs, and documentation your compliance team can present to auditors. We work with your CISO and compliance officer to map requirements before build begins.
Can AI systems connect to OT networks?: We design AI systems to operate on the IT network using data that has crossed the OT/IT boundary through authorized channels: data historians, unidirectional data diodes, or scheduled exports from your EMS. We do not connect AI systems directly to OT networks, control systems, or SCADA. That boundary is maintained by design.
How do you handle data residency for regulated utilities?: For utilities with FERC-regulated data or state commission requirements around customer data residency, we configure cloud infrastructure and data processing to stay within your required geographic boundaries. US-based utilities default to US-only processing. If specific state requirements apply, we document the data flow and get confirmation from your regulatory team before deployment.
Can this integrate with our SCADA historian data?: Yes, through the IT-side historian interface: OSIsoft PI (now AVEVA PI), GE Historian, Wonderware, and similar historian platforms export data via REST APIs or ODBC connections that AI systems can consume on the IT network. We do not read directly from SCADA real-time databases. Historian data is typically sufficient for reporting and analysis use cases.

Ready to automate your compliance or reporting workflow?

Tell us which compliance or reporting process consumes the most staff time each cycle. We will reply within one business day with a rough scope and price range.

Energy companies operate under heavy compliance requirements and high document volume. AI handles the processing.

What we build.

Five specific AI workflows for energy and utility operations.

Compliance document extraction and review

Incident and outage report generation

Customer inquiry automation

Regulatory filing support

ESG and sustainability report generation

Who we build for.

Investor-owned utilities with heavy NERC/FERC compliance obligations

Municipal utilities and co-ops building operational AI on limited budgets

Independent power producers with reporting obligations to grid operators

Energy technology companies integrating AI into grid management platforms

Oil and gas operators with complex environmental compliance reporting

Who this isn't for.

Companies expecting AI to interface directly with SCADA or control systems

We build AI on the IT side of your OT/IT boundary, working with historian data exports, not real-time SCADA interfaces. We do not build AI systems that connect to or control operational technology systems.

Projects requiring real-time grid dispatch decision-making

AI for energy operations is appropriate for reporting, compliance, and customer service, not for real-time grid dispatch or safety-critical operational decisions. Those require certified control systems, not AI models.

Early-stage energy startups without operational data

Compliance reporting and incident analysis AI require operational history to be useful. Pre-operational startups without real generation or distribution data cannot use these systems productively.

Frequently asked questions.

How do you handle NERC and FERC compliance requirements?

NERC CIP and FERC compliance place specific requirements on information systems: access controls, audit logging, and in some cases data classification. We design AI systems with CIP-compliant access controls, comprehensive audit logs, and documentation your compliance team can present to auditors. We work with your CISO and compliance officer to map requirements before build begins.

Can AI systems connect to OT networks?

We design AI systems to operate on the IT network using data that has crossed the OT/IT boundary through authorized channels: data historians, unidirectional data diodes, or scheduled exports from your EMS. We do not connect AI systems directly to OT networks, control systems, or SCADA. That boundary is maintained by design.

How do you handle data residency for regulated utilities?

For utilities with FERC-regulated data or state commission requirements around customer data residency, we configure cloud infrastructure and data processing to stay within your required geographic boundaries. US-based utilities default to US-only processing. If specific state requirements apply, we document the data flow and get confirmation from your regulatory team before deployment.

Can this integrate with our SCADA historian data?

Yes, through the IT-side historian interface: OSIsoft PI (now AVEVA PI), GE Historian, Wonderware, and similar historian platforms export data via REST APIs or ODBC connections that AI systems can consume on the IT network. We do not read directly from SCADA real-time databases. Historian data is typically sufficient for reporting and analysis use cases.

Ready to automate your compliance or reporting workflow?

Tell us which compliance or reporting process consumes the most staff time each cycle. We will reply within one business day with a rough scope and price range.