On-Prem AI Agents for Energy & Utilities
Deploy a governed on-premise platform — including air-gapped behind your OT boundary — with private RAG over engineering and asset data, model routing, immutable audit logs & role-based access. NIS2, NERC CIP & IEC 62443 alignment at 40–60% lower AI cost.
The AI dilemma in energy & utilities
Utilities run on decades of engineering documentation, asset histories, and operational procedures. AI could unlock all of it — but as operators of essential services, you can't route grid data or OT documentation through someone else's cloud.
Critical-Infrastructure Risk
NIS2, NERC CIP, and IEC 62443 demand strict perimeter control. A hosted AI tool that egresses operational data is a compliance and security non-starter.
OT / IT Separation
AI must stay on the right side of the Purdue boundary — advising engineers without ever issuing commands to control systems or crossing into the OT zone.
Ageing Workforce
Experienced engineers are retiring and taking institutional knowledge with them. Procedures and tribal knowledge need to be captured and made searchable.
Document & Sensor Sprawl
Manuals, P&IDs, maintenance logs, and historian data live in silos. Finding the right answer during an outage takes far too long.
AI assistance that respects the OT boundary
Data Sovereignty
Complete Data Sovereignty
Operational data never leaves your perimeter.
Deploy VDF AI entirely on-premises — including air-gapped, segmented behind your OT/IT boundary. No external API calls. No grid data, asset records, or engineering documentation traveling to third-party servers. Everything stays exactly where your security and compliance teams require it.
"It runs entirely inside our network. That was the only way our OT security team would even consider AI."
Air-gap & OT-segmented ready
Compliance
Regulatory Compliance Built-In
NIS2 & IEC 62443 ready from day one.
VDF AI provides the governance infrastructure critical-infrastructure regulators demand:
- Complete Audit Trails — every query, retrieval, and response logged with full context for incident review
- Read-Only OT Access — governed, read-only access to historian and asset data; no control-system commands
- Access Controls — role-based permissions aligned to least-privilege and zone-based segmentation
- Incident Reporting Support — assemble the documentation NIS2 reporting timelines require
- Model Governance — track which models are used, when, and for what purpose
NIS2 · NERC CIP · IEC 62443
Cost Control
Intelligent Cost Management
Predictable AI economics at utility scale.
Regulated returns mean every euro of spend is scrutinised. VDF AI delivers:
- Per-Operation Cost Tracking — know exactly what each task costs across functions
- Model Routing Optimization — route routine lookups to small models, reserve frontier models for complex analysis
- Budget Controls — set limits by business unit, site, or use case
- ROI Reporting — tie AI assistance to outage reduction and maintenance efficiency
- 40–60% Cost Reduction — compared to traditional cloud AI approaches
vs. hosted cloud alternatives
Use cases for energy & utilities
Field & Engineering Knowledge
Semantic search across manuals, P&IDs, SOPs, and maintenance history so engineers and field crews get the right answer in seconds — fully cited.
Predictive Maintenance Analysis
Agents that summarise historian and condition-monitoring data, correlate anomalies with maintenance records, and surface assets that need attention.
Outage & Incident Summaries
Assemble timelines, root-cause hypotheses, and post-incident reports from logs and records — accelerating restoration and regulatory reporting.
Regulatory & Compliance Reporting
Agents that monitor NIS2 and sector obligations, draft compliance documentation, and prepare incident notifications — with full audit trails.
Procedure & SOP Drafting
Capture retiring engineers' knowledge into standardised, searchable procedures — drafted by agents and reviewed by your subject-matter experts.
Customer & Market Operations
Support agents for billing queries, connection processes, and energy-market analysis — grounded in your own tariffs, policies, and data.
Technical specifications for energy & utilities
| Requirement | VDF AI Capability |
|---|---|
| On-premise deployment | Full on-premises, private-cloud, sovereign-cloud, or air-gapped deployment behind the OT/IT boundary |
| OT separation | Runs on the enterprise side of the Purdue model — advisory only, no control-system commands |
| Data sovereignty | Models, embeddings & operational data remain inside your sovereignty and residency perimeter |
| Private RAG | Manuals, P&IDs, SOPs, maintenance & historian context stay on-premise inside your governed vector-store boundary |
| Role-based access | RBAC-scoped agents, tools & knowledge aligned to least-privilege and zone-based segmentation |
| Model routing | Tier-aware routing keeps routine lookups on smaller models — frontier models reserved for complex analysis |
| Audit logs | Immutable audit logs for prompts, retrievals, tool calls & responses — SIEM export & long-term custody |
| Integration examples | Read-only historian (OSIsoft PI-style), EAM/CMMS (Maximo-style), GIS & document systems via MCP adapters |
| Encryption | At-rest and in-transit, customer-managed keys |
| Authentication | SSO, LDAP, Active Directory, MFA |
| Uptime SLA | 99.9% (Enterprise tier) |
What changes after rollout
Questions energy & utilities teams ask
Is VDF.AI compliant with NIS2, NERC CIP, and IEC 62443 for energy and utilities?
VDF.AI is built for operators of essential services and aligns with NIS2 risk-management and incident-reporting obligations, NERC CIP critical-infrastructure controls, IEC 62443 OT-security zoning, the EU AI Act, and GDPR. The platform deploys fully on-premise — including air-gapped, behind your OT/IT boundary — so SCADA documentation, grid data, and operational records never leave your perimeter, and every prompt, retrieval, and response is captured as immutable audit logs.
Does VDF.AI touch SCADA or control systems directly?
No. VDF.AI is an AI advisory and knowledge layer, not a control system. It helps engineers and operators find information, summarise OT documentation, draft procedures, and analyse historian data — it does not issue commands to control systems. It runs on the enterprise/IT side of the Purdue model boundary with read-only, governed access to data, keeping a clear separation between AI assistance and operational control with humans in the loop for every action.
Can VDF.AI run fully air-gapped behind the OT boundary?
Yes. The entire stack — models, embeddings, vector store, and orchestration — runs inside your network with zero external dependencies. That suits operators who run segmented or air-gapped environments under NERC CIP and IEC 62443, where no operational data may cross to third-party cloud infrastructure.
Why on-premise AI instead of a hosted cloud provider for utilities?
Hosted providers require sending prompts and document fragments to third-party infrastructure. For utilities, that conflicts with NIS2 supply-chain security, NERC CIP, and the basic principle that grid and OT data must stay inside the trusted perimeter. On-premise AI keeps operational data, asset records, and engineering knowledge inside your boundary — no third-party access, no cross-border transfer questions, no surprise terms-of-service changes.
Ready to deploy AI behind your OT boundary?
Talk to our team about your grid, asset, and compliance requirements.