Sources: Grant Thornton 2026 AI Impact Survey • Vela et al. MIT/Harvard (2022) • EU AI Act Article 99 • Brookings Institution, 2026
Most energy and utility operators deploying AI have no ongoing mechanism to verify it is working as intended.
Model drift is silent. Grid failures and compliance violations are not.
AI on critical infrastructure creates a documentation problem traditional auditing cannot solve.
NERC CIP-015-1 already requires continuous internal network monitoring by October 2028, and AI systems running on that network fall within its scope.
The question is not whether your organization will be required to demonstrate AI accountability. It is whether you will be ready, and whether you can prove it when asked.
Grid Integrity
Governance and monitoring for AI embedded in grid dispatch, load balancing, and predictive maintenance, where an error has cascading consequences.
Operational Performance
AI oversight across critical infrastructure, where drift means an outage, a safety incident, or a missed regulatory commitment, not just a bad prediction.
Regulatory Confidence
Our approach aligns with NERC CIP, FERC Order 887, and evolving industrial AI regulation, without disrupting operations.
We offer innovation and trust in AI.
Energy-specific services across the full AI Value Chain.
Most of the work happens before anything goes live: identifying the right AI opportunities, preparing your data, building and training the right models, and putting governance in place from the start.
Strategic Advisory
We help energy and utility operators identify where AI actually creates value on critical infrastructure, then build the business case and the pilot the right way.
Our advisory approach is grounded in energy and OT domain expertise, not generic AI frameworks.
• Domain Expertise: we understand IEC 62443 zone architecture, the economics of an outage, and where AI actually pays for itself on the grid.
• Transparent Collaboration: benchmarks and knowledge sharing your team can act on.
• Actionable Roadmaps: clear, prioritized steps starting with the highest-value, lowest-risk use case, predictive maintenance, load forecasting, or grid-adjacent monitoring, not a sitewide AI mandate.
AI Governance
Foundational readiness built for the realities of OT environments, security zone separation, safety-critical approval chains, and a phased approach that adapts as NERC CIP and FERC requirements evolve.
Our AI Governance Accelerator, delivered with our partner Truyo, builds foundational AI governance readiness in as little as four months.
Truyo is named a Leader in the 2026 Gartner Magic Quadrant for AI Governance Platforms.
• Workforce Readiness: equip operations and compliance teams on the rules, guardrails, and escalation paths that apply to AI-assisted decisions.
• OT-Aware Risk Quantification: risk profiling that respects IEC 62443 zone and conduit separation, not a generic enterprise IT risk model.
• Use-Case Documentation: full traceability of purpose, data, and training context for every model touching operations.
• Shadow AI Discovery: identify AI already running inside OT and IT environments before it becomes an ungoverned liability.
Data Sourcing and Preparation
Data readiness assessment and pipeline design for the data types unique to critical infrastructure, SCADA telemetry, grid sensor data, and asset health records, prepared for AI-ready infrastructure.
Model Development and Training
Model development and training grounded in your specific operating environment, whether that's a load-forecasting model trained on your own grid data or a predictive maintenance model trained on your asset telemetry.
AI Compliance
Measure and document adherence to the standards that actually apply to your operation, NERC CIP for electric utilities, FERC Order 887 for grid AI operations, and the EU AI Act's high-risk compliance phase for regulated infrastructure.
Once You're Live
The AIA Index can take over, continuously proving your operational models are still performing inside your standard of care.
Built for the people accountable for what AI decides.
What sets us apart.
Deploy anywhere your governance requires.
The Index can run as SaaS for fast rollout, on-device for real-time inference at the edge, or a hardened on-prem appliance for true air-gapped deployments.
Cloud-only competitors are locked out of classified and regulated environments. We are not.
The same appliance that runs your model can run the Index alongside it, two separate components on one platform, so you're not standing up separate infrastructure to operate the AI and separate infrastructure to watch it.
It can ship with open-source models preloaded, so AI workloads and independent quality monitoring run on one device inside your OT perimeter.
Electric utilities weight grid reliability and NERC CIP audit readiness. Oil and gas deployments weight pipeline integrity and emissions compliance.
Water and wastewater deployments weight treatment accuracy and regulatory reporting. Pipeline operators weight leak detection and safety system performance.
The same framework, configured for your environment by senior practitioners.
Real-time composite scoring across configurable evaluation windows, from 5 minutes to batch. Alerts fire before downstream consequences occur, not on a periodic or quarterly attestation schedule.
Reliability, trust, audit and governance, and business value rolled into a single, board-ready number. The framework executives have been asking for.
Audit-grade evidence, built in.
NERC CIP, Critical Infrastructure Protection
FERC Order 887, Grid AI Operations
NIST AI RMF, MEASURE function
SOC 2 Type II
ISO/IEC 42001 & ISO/IEC 25059
ISO/IEC 23894, AI risk management
EU AI Act, Articles 6, 12 & 15
IEC 62443, Industrial Cybersecurity
Why it Matters.
On critical infrastructure, AI and Machine Learning are more than tools, they are force multipliers for operational reliability. We help ensure:
Is your operation ready to move past the experimental phase?
Transparent Logic
Decisions backed by explainable, audit-ready data.
Dynamic Resilience
Models that evolve alongside regulatory and environmental demands.
Verified Integrity
Systems that earn the trust of stakeholders and the communities they serve.
Not sure where to start? Let's map out your AI Value Chain together.
Whether you're identifying your first AI opportunity or already have a model in production, we'll help you figure out what's next. Already live and want to know if it's actually working? We can connect the Index at no cost and no commitment and show you exactly where you stand.
