NERC CIP
Identify applicable bulk electric system requirements before connecting a workflow, including access boundaries, change controls, and vendor risk.
FERC · Grid securityOur technology · Corvana Labs
The workspace behind your AI workflows.
Explore the systemTechnology preview · How we bring context, workflow design, and evaluation into a Corvana Labs engagement.
Illustrative platform architecture
One workspace connecting approved knowledge,
workflow execution, and human review.
Our delivery workspace
CorvanaOS is the delivery workspace we are building to support our specialists and your reviewers. It brings operational knowledge, workflow configuration, test cases, and decision records together within a scoped engagement.
Your rules, carried through every workflow.
Define who can access the sources, who reviews the work, and what requires approval. Keep the evidence, decisions, and execution record together in CorvanaOS.
Explore the controls

Our workspace. Your way of working.
Our team uses the workspace to configure and evaluate the work. Where an agent is appropriate, we design how it brings context and review requests into your existing tools, including Teams and Outlook.
Step inside the sandboxReusable patterns.
Specific to your work.
Document intake, schedule reviews, evidence assembly, and work order handoffs. We adapt reusable patterns to your sources, operating procedures, and reviewers, then test them against the cases your team understands.
Explore the workYour operating knowledge, in every step.
Approved procedures, project records, past decisions, and review criteria give each workflow its context. Keep sources close to the work, make gaps visible, and give the reviewer something they can trace.

Project review playbook
Approved context · Version 1.2Connected to the systems your operation runs on.
Bring project schedules, asset records, network context, and operating data into the workflow. From Primavera P6 and Maximo to ArcGIS, PI System, and Microsoft 365, connect the sources your team relies on.
Integration examples. Availability and access are scoped to your environment.
06 / Workflow engine & sandbox
Run a workflow against work your team already knows. Trace every finding, improve the candidate, and review the evidence before deciding where it can operate.
07 / Approved models
Specialized AI is not just a choice of model. It is the combination of workflow knowledge, approved context, deterministic checks, and human decisions around it.
Select models against quality, cost, and deployment requirements. Evaluate the complete workflow before making a claim about accuracy or savings.
Options depend on the selected models and customer environment.
Controlled access. Protected records. Accountable AI.
For energy and utilities, we scope security requirements with your team
around the systems, information, and work involved.
Identify applicable bulk electric system requirements before connecting a workflow, including access boundaries, change controls, and vendor risk.
FERC · Grid securityDefine the boundary between AI workflows and operational systems, with approved access, network separation, and human authorization.
NIST · OT securityClassify sensitive records and agree access, storage, retention, and permitted model-provider use. Apply CEII handling rules where relevant.
FERC · CEIIAgree the evidence required for the delivery environment: supplier assessments, ISO 27001 certificates, and SOC 2 reports where procurement requires them.
ISO · Information securityDefine accountable owners, evaluate workflow risks, document human review, and retest material changes before release.
NIST · AI Risk ManagementApplicability depends on the entity, jurisdiction, systems, and data in scope. These are engagement requirements to assess, not claims of Corvana certification.
Discuss your requirementsOur three services define the engagement. CorvanaOS supports how we configure, evaluate, and review the work. Your team can use the agreed workspace or continue with existing AI tools; adopting CorvanaOS is not a prerequisite.
Working connections, source permissions, retrieval checks, and knowledge ownership.
02Expert-reviewed cases, comparative findings, and evidence for a decision.
03Integrated workflows, acceptance tests, and an operating handover.
Start with one real workflow
Bring us a context problem, an AI system to evaluate, or a workflow to implement. We’ll agree the deliverables and use the right tools for the engagement.
Discuss a workflow
Specialized AI services for critical infrastructure.