RENEWABLES

AI Agent for Maintenance in Renewables

Maintenance that relies on call-outs and notebooks ends in breakdowns: the agent schedules inspections per plant and inverter, logs every intervention and anticipates faults before they stop output.

AI Agent for Maintenance in Renewables

An AI agent for maintenance in renewables integrates with your tools and current flow, with human supervision and traceability. Before automating we define the task, exceptions and success criteria.

We work from Barcelona and Madrid and remotely across Spain, Europe, LATAM and the United States. The agent adapts to your sector and real process, not the other way round.

We hand over the agent, its configurations, repositories and documentation in accounts owned by your company, without lock-in and with the ability to audit or rotate credentials.

Maintenance that relies on call-outs and notebooks ends in breakdowns: the agent schedules inspections per plant and inverter, logs every intervention and anticipates faults before they stop output.

THE CHALLENGE

maintenance in renewables

In maintenance in renewables, manual work is slow, depends on staff and leaves room for error; automating it without knowing the sector's flow is a risk. The difference is an agent with rules, exceptions and control, built for your operation.

  • Breakdowns without response plan

    Incidents in wind and solar farms are handled reactively and without clear priority.

  • Scattered spare parts and permits

    Information on parts, warranties and access is spread out and delays field intervention.

  • Incomplete asset history

    Without an orderly record of each intervention, it is hard to foresee failures and plan maintenance stops.

APPROACH

maintenance in renewables

An agent with rules, exceptions and milestone control, adapted to your sector.

  1. Asset signal monitoring

    The agent collects equipment alerts and classifies them by severity and failure type.

  2. Priority and safety rules

    It applies criticality, safety and availability criteria defined by the operator.

  3. Work order drafting

    It prepares the intervention with steps, parts and permits and leaves it for review by the manager.

  4. Intervention traceability

    It records each order, its execution and outcome to keep the asset history up to date.

DELIVERABLES

maintenance in renewables

An operational, traceable agent under your control.

  • Incident classification

    List of alerts prioritised by criticality and asset failure type.

  • Prepared work order

    Intervention with steps, parts and permits ready to validate.

  • Asset maintenance history

    Up-to-date record of each intervention and its outcome per equipment.

  • Availability report

    Summary of incidents, response times and stops per plant.

TRUST

AI applied to real sector processes with supervision

AI agents adapted to your sector's real operations since 2008, with human supervision, traceability and milestone control in Barcelona, Madrid and remote. Code and documentation under your control, without lock-in.

  • Adapted to your sector's real operation.
  • Human supervision with milestone and exception control.
  • A measurable first release before expanding scope.
  • Code, configurations and documentation under your control.

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