S/Runtime
Critical infrastructure AI
Unify operational knowledge, asset history, field work, reliability evidence, customer systems, and cyber controls so AI can support critical infrastructure within policy.
Each example starts with the work that slows down today, then names the context, controls, and outcome a pilot would need to verify.
Field and control teams need work orders, asset history, safety procedures, weather, customer impact, and incident context.
S/Runtime assembles operational context and routes recommendations through safety and supervisory review.
Controls to verify: Operational data boundaries; Safety review; Field-role scope; Incident logging.
Compliance teams spend heavy effort collecting access, incident, recovery, and configuration evidence.
The platform maps controls to systems, evidence, owners, and time windows for review-ready packages.
Controls to verify: Control ownership; Evidence freshness; Access reviews; Exportable audit trail.
Maintenance decisions often miss signals hidden across inspections, sensors, parts, vendors, and historical work.
Agents summarize asset context and propose next actions with source lineage and field constraints.
Controls to verify: Asset data scoping; Safety procedures; Vendor boundaries; Supervisor approval.
The pilot scope should identify the applicable policy, the accountable reviewer, and the evidence required to reconstruct a consequential run.
Focus: Bulk electric system cyber asset categorization, security management, access, incident response, recovery, and information protection.
S/Runtime: CIP-scoped data boundaries, access evidence, incident context, recovery playbooks, and auditable operational workflows.
Focus: Cybersecurity and AI risk management practices for critical infrastructure and trustworthy AI.
S/Runtime: Risk-based AI inventory, model/tool controls, context traceability, and continuous monitoring of agent behavior.
Focus: Protection of customer account, usage, billing, and outage communication data.
S/Runtime: Customer-data minimization, service-territory scopes, consent/notice alignment, and support workflow logs.
Focus: Field safety, switching procedures, maintenance evidence, and emergency response protocols.
S/Runtime: Procedure-aware agents, required human approval, safety disclaimers, and source-cited field guidance.
Use workflow run traces and reviewer outcomes to compare “Outage response time” with the agreed pre-pilot baseline.
Use workflow run traces and reviewer outcomes to compare “Field handoff quality” with the agreed pre-pilot baseline.
Use workflow run traces and reviewer outcomes to compare “Compliance evidence readiness” with the agreed pre-pilot baseline.
Use workflow run traces and reviewer outcomes to compare “Asset issue resolution” with the agreed pre-pilot baseline.
Architecture session
We will map the context, systems, decisions, controls, actions, and success measures together.