Operational incident analysis
The agent cross-references alarms, history and operating instructions, then proposes a reading of the incident and the applicable procedures. Running the installation stays with the operators.
Operations, asset maintenance, compliance, customer service: Claude agents that support your teams without ever stepping into the control of critical infrastructure.
An AI agent for energy and utilities is a Claude agent that supports the operations, maintenance and customer teams of an electricity, gas, water or heat operator: incident analysis, work preparation, regulatory tracking, customer answers. It stays outside grid and network control, which remains under human command.
An energy or water operator is critical infrastructure before it is a company. Four frameworks define the place an agent can take.
Energy, drinking water and waste water are sectors of high criticality under the NIS2 Directive (EU 2022/2555). Operators in scope must manage the risks of their digital supply chain, which includes the AI model provider and the integrator deploying it.
Annex III of the EU AI Act lists AI systems used as safety components in the management and operation of water, gas, heating and electricity supply as high-risk. The corresponding obligations apply from 2 December 2027.
The Critical Entities Resilience Directive (EU 2022/2557) complements NIS2 on the physical and organisational side. Entities designated as critical by their member state must assess their risks, taking account of their dependencies, including digital services added along the way.
Load curves from smart meters are personal data: they reveal a household’s habits. An agent using them for customer service needs a clear legal basis and should only see the level of detail it requires.
The agent cross-references alarms, history and operating instructions, then proposes a reading of the incident and the applicable procedures. Running the installation stays with the operators.
Work package, parts, required authorisations, lessons from previous interventions: the agent prepares, the project lead validates and schedules.
Texts, regulator decisions, reporting duties: the agent tracks changes, identifies the processes affected and prepares reporting material for compliance teams.
Billing disputes, connections, moves: the agent investigates the request from the customer file, explains the situation and passes anything that needs a judgement call to an adviser.
The agent sends no command to network control systems. It works on information, read-only, which simplifies its risk analysis and keeps it away from the most sensitive industrial systems.
Risk analysis, security clauses, continuity plan if the model service goes down: the agent is part of the supply chain management NIS2 requires.
Sources consulted, who approved, timestamp: every work order or report the agent prepares stays readable and verifiable afterwards.
We start from your processes and your regulatory constraints to find the first agent worth building, and the framework that goes with it.