Cortex connects to the SCADA, ADMS, GIS, EAM, and historian systems you already run — and gives operators, planners, and regulators one auditable interface, with every agent action cryptographically signed and every dispatch-affecting decision gated by human approval.
Where to start
Not sure where AI fits in your operation? Here is how every successful utility, grid operator, or operator-of-critical-infrastructure AI programme is structured — and where Cortex enters.
Only 28% of European utilities have basic OT/IT data integration — so AI pilots run on stale data exports, control rooms run on SCADA and historians that have never spoken to IT, and every "AI tool" your teams buy becomes another disconnected island. None of this is your fault — the OT/IT gap predates the AI era by decades.
We are not a forecasting tool, a digital twin vendor, or a chatbot. Cortex is the connector and provenance layer that lets your existing SCADA, ADMS, GIS, AMI, and EAM systems — plus every AI tool you add later — operate through one auditable, air-gappable interface that you own.
Forrester projects most enterprises will be forced to compose "agentlakes" — shared architectures to orchestrate fractured AI deployments built without coordination. Deploy Cortex first and every subsequent AI tool plugs into one provenance ledger, one kill switch, one audit trail — instead of one more silo.
We map your OT/IT landscape — SCADA, historian, ADMS/OMS, GIS, AMI, EAM — and identify the highest-value Cortex connector to build first.
Cortex deployment tier, connector roadmap, NERC CIP-015-1 / CISA evidence mapping, and a procurement spec — all before a line of code runs against live systems.
One SCADA/historian connector plus one agent skill — digital twin, predictive maintenance, or outage triage — built to production quality on one substation, plant, or feeder.
Executive briefings for utility leadership, OT/IT integration bootcamps for engineers, and HITL oversight training for control-room operators supervising agentic outputs.
Additional connectors, additional agent skills, agency-wide rollout — every addition runs through the same provenance ledger and kill switch established in the pilot.
Cortex deployment plus the SCADA/historian, ADMS/OMS, GIS, AMI, and EAM connectors that close the OT/IT integration gap — the precondition for every other use case.
Digital twin, predictive maintenance, outage triage, demand response, and dynamic line rating advisory — every dispatch-affecting recommendation gated by Crypto HITL.
NERC CIP-015-1 INSM evidence, CISA OT/IT segmentation and kill-switch documentation, and EU AI Act Art. 12 traceability for any AI touching dispatch.
Executive briefings for utility IT/OT leadership, OT/IT integration bootcamps for engineers, and HITL oversight training for control-room operators.
Grid digital twin and DLR advisory agents aimed directly at FERC's 2026 priority: squeeze more capacity from the grid that exists before new transmission is built.
The SCADA/historian connector and predictive maintenance agent transfer directly to pipeline SCADA and compressor stations. Smart port digital twins reuse the same GIS and IoT pattern.
Most "AI for energy" platforms either route operational data to a vendor cloud or bolt a dashboard onto a single system. Cortex is a single Rust binary plus PostgreSQL/pgvector that runs on your infrastructure — air-gap capable, with every action Ed25519-signed and Merkle-chained. It is the foundation every connector and agent below plugs into.
A utility running commercial AI SaaS across 1,000 seats at $30/seat/month = $360K/year recurring, with operational data leaving the jurisdiction. Cortex on-prem: $50–120K hardware, one-time, zero per-seat licensing, full data sovereignty. Break-even in 6–18 months.
Siemens Energy's 2025 benchmark found only 28% of European utilities have basic OT/IT data integration — without it, AI pilots run on historical exports and can never reach real-time operational AI. This connector mirrors tag-level historian data (OSIsoft PI, Ignition, AVEVA) into Cortex's TraceDB via the existing Mirror Engine, closing the single most-cited blocker in every 2026 utility AI report.
Outage events, switching states, network topology, and asset geolocation live in Advanced Distribution Management, Outage Management, and GIS systems that rarely talk to anything else. These connectors map vendor-specific CIM dialects (Schneider, GE, Oracle) into a common internal schema, feeding Cortex's Genesis Engine to render outage maps, asset density, and vegetation-risk overlays natively.
Cortex already connects to IBM Maximo. This is a schema-mapping extension — mapping asset hierarchies to substations, feeders, and transformers — plus a new AMI/MDM connector ingesting consumption, voltage, and outage last-gasp signals via batch CDC, the foundation for demand-forecasting and DER-visibility agent skills.
Agentic AI for grid modernisation pays off most when deployed as a governed workflow orchestrator integrating OMS, ADMS, GIS, AMI, SCADA, and EAM — producing action-ready, traceable outputs. This pilot delivers the SCADA/historian connector plus one production-ready agent skill, on one substation, plant, or feeder. Every recommendation is advisory; operators retain dispatch authority.
| Discovery & connector scoping (3 days) | $3,240 – $4,140 |
| SCADA/historian connector build (10 days) | $10,800 – $13,800 |
| Agent skill build — one option (10 days) | $10,800 – $13,800 |
| Dashboard, Knowledge Snap & testing (5 days) | $5,400 – $6,900 |
| Documentation & handover (2 days) | $2,160 – $2,760 |
| Phase 1 pilot total | $32,400 – $41,400 |
Renewable integration and electrification strain a grid built for predictable, centralised generation. This agent aggregates AMI and DER data — solar, battery, EV charging — to forecast demand-response capacity and surface it in plain language for planners, directly supporting the renewable-integration goals cited across every 2026 utility AI report.
FERC's January 2026 "Energized for 2026" priorities name dynamic line ratings, advanced demand response, and operational-level cybersecurity as critical deployment focus areas — squeezing more capacity from existing lines while new transmission works through the queue. This agent combines weather, conductor temperature sensors via SCADA, and topology to recommend real-time line rating adjustments — advisory only, never auto-dispatched.
FERC, NERC CIP, and national regulator filings require pulling structured data from across operational systems into rigid templates — a recurring, time-consuming, error-prone task. This agent drafts filings by pulling data directly from Cortex-connected systems, with every populated field provenance-chained back to its source for regulator-facing audit.
FERC Order No. 907 (approved June 26, 2025) requires high- and medium-impact Bulk Electric System Cyber Systems with External Routable Connectivity to implement Internal Network Security Monitoring inside Electronic Security Perimeters by October 1, 2028, with all other applicable systems by October 1, 2030. The standard requires entities to collect network data feeds on a risk-based rationale, detect and evaluate anomalous east-west traffic, and retain data for investigation — a multi-year build for entities that haven't started.
NERC must submit CIP-015-2 modifications (extending INSM to EACMS and PACS outside the ESP) by September 2, 2026. Entities that delay planning for the 2028 deadline risk falling behind well before the 2030 deadline hits — and the SCADA/historian connector built for this engagement is the same connector that powers every agentic use case above.
| Discovery & asset classification (3 days) | $3,240 – $4,140 |
| INSM architecture & data feed mapping (5 days) | $5,400 – $6,900 |
| Cortex CIP-015-1 compliance pack config (6 days) | $6,480 – $8,280 |
| Evidence reporting & documentation (3 days) | $3,240 – $4,140 |
| Readiness engagement total | $18,360 – $23,460 |
CISA requires air-gapped development and testing, IT/OT network segmentation, autonomous-agent kill switches, and mandatory human review for any autonomous action affecting critical infrastructure. Cortex's CortexGuard and Security Fortress already satisfy these by design — this 5-day pack ($5,400–$6,900) documents the mapping for auditors.
PSE (Poland's transmission operator) requires pre-approval for any AI system capable of influencing grid dispatch decisions — a regulatory posture other transmission operators are expected to converge toward. We design the governance framework that classifies your AI use cases by dispatch-influence risk, defines human oversight protocols per tier, and produces the documentation a pre-approval regime requires.
Most energy organisations sit at Stage 1 (Ad-hoc Experimentation) of AI maturity — strong on governance from decades of safety compliance, weak on the technology integration that makes operational AI possible. This assessment maps your SCADA, historian, ADMS, GIS, AMI, and EAM landscape and produces the Cortex connector roadmap and procurement-ready specification.
CIOs and IT directors at utilities are evaluating AI vendors — forecasting platforms, digital twins, analytics overlays — without a shared framework for what's real versus what's a dashboard with nothing underneath. This 2-day executive workshop covers the OT/IT integration gap, Cortex's agentlake positioning, the NERC CIP-015-1 and CISA timelines, and how to read a grid-AI vendor's claims.
Vendor dependency on grid AI is a long-term operational risk — especially when the vendor's forecasting model can't explain its own recommendations. This 5-day hands-on programme builds in-house capability to extend Cortex connectors, build agent skills against historian and ADMS data, and design Crypto HITL workflows for dispatch-affecting recommendations.
CISA's guidance requires mandatory human review for any autonomous action affecting critical infrastructure. Deploying agentic AI in a control room without training operators to interpret, override, and escalate its recommendations creates automation liability with none of the productivity benefit. This programme trains control-room operators on exactly when and how to intervene.
PI System dominates process historians across both power generation and pipeline/midstream operations — meaning the SCADA/historian connector built for grid operators transfers directly. The predictive maintenance agent applies with minimal rework to compressor stations and pipeline integrity management, giving national oil companies and pipeline operators the same Cortex foundation at a fraction of the original build cost.
Port operations are among the most data-rich, highest-throughput energy-adjacent environments — and among the least optimised. We build AI-driven digital twins for port operations, integrating IoT sensor data, GIS, and the same digital-twin agent pattern used for grid state estimation, with blockchain-based cargo documentation and autonomous routing. Busan Port is the 2026 production benchmark; Trinidad's port infrastructure is a direct regional opportunity.
National AI ambitions collide with foreign-owned compute — a strategic vulnerability that Singapore addressed with a $1 billion sovereign R&D compute commitment. We design and size sovereign HPC infrastructure for grid-scale digital twins, state estimation, and predictive maintenance workloads, sized specifically for the inference loads Cortex's energy agent skills generate.
Global procurement signal
Active regulatory deadlines, RFPs, and national programmes shaping AI procurement across energy and critical infrastructure.
Why Intellica
Forrester projects most enterprises will be forced to compose "agentlakes" — shared architectures to orchestrate AI tools built without coordination. Cortex is designed to be that layer from day one, not retrofitted after the fragmentation has already happened.
Cortex is a single Rust binary plus PostgreSQL/pgvector. It runs on your servers, validates its licence offline, and never makes an outbound call. Defence, banking, and energy customers run it fully air-gapped with updates on physical media.
Every query, write, and dashboard generated produces a BLAKE3-hashed, Ed25519-signed TraceCaps capsule, chained into a Merkle tree and anchored to IETF SCITT — satisfying EU AI Act Art. 12 and NERC CIP-015-1 evidence requirements out of the box.
The Absorption Pipeline mirrors your existing SCADA, ADMS, and EAM systems in real time, gradually generating accessible interfaces behind a Strangler Fig façade — with instant rollback to the legacy system at any workflow step.
Crypto HITL (L3) requires Ed25519 manifest signing for high-risk operations. Every agent skill in the energy module is advisory-only on anything that touches dispatch — pre-aligned to PSE-style pre-approval regimes before they're mandated elsewhere.
A single administrator action — POST /admin/kill — returns 503 on every subsequent agent request, fully audited, and works identically online or air-gapped. This is the CISA-mandated kill switch, already built.
We don't resell forecasting platforms, digital twin tools, or analytics overlays, and hold no commercial agreements with AI vendors. Every recommendation — including which connector to build first — is determined by your operational requirements alone.
Start the conversation
We will send you a complete Cortex architecture assessment within 48 hours. No cost for the first review. If it solves your problem — and it will — we discuss what engagement looks like from there.