Reason across live OT data, asset relationships, maintenance history, security events, emissions, manuals, procedures and regulations. Then explain, recommend, plan and orchestrate the next action.
The methane increase is consistent with seal degradation on Compressor Train C-03. Flare flow rose while discharge pressure fell and vibration moved outside its multivariate baseline. The asset graph links C-03 to Flare-01, which is where the emission was measured.
Each stage is separated so operators can see what the agent used, what it concluded, what it recommends, and what it is allowed to do.
Operators ask in their own words. The agent resolves tags, assets and time windows against the Knowledge Graph before it reasons about anything.
Live telemetry, asset relationships, maintenance history, security events, documents and regulations are retrieved as one working set rather than six separate lookups.
The conclusion arrives with the signals and documents that support it, so an engineer can check the reasoning instead of trusting it.
Operational and carbon impact are calculated from the same measured data, so the cost of waiting is a number rather than a judgement call.
Operational + carbon contextEvidence-backed and scoped: what to inspect, how urgently, and what happens if it is deferred.
Recommend inspection on 18 Sep rather than 04 Oct, based on the degradation trajectory and the production plan.
The agent prepares and routes the next steps while higher-risk actions stay behind approval boundaries.
Ground answers in live OT data, manuals, procedures, maintenance history and regulations.
Reason over assets, parts, processes, events, emissions and dependencies.
Recommend repairs, maintenance windows, parts and work-order scope.
Orchestrate workflows and execute only within defined operator authority.
Grounded in the asset, the evidence and the operating context.
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