Vestas uses AI agents to streamline wind turbine software support with Dataiku

Vestas has developed a Jira Ticket Management Agent using Dataiku and Snowflake to streamline the routing of software support tickets across its complex global wind turbine fleet environment. The agent analyzes incoming tickets, recommends the appropriate component or team, finds similar historical cases, and provides similarity scores and explanations directly in Jira, replacing much of a previously manual process involving ticket reviews, Jira searches, and consultations with submodule owners. For its 100 to 150 monthly tickets, Vestas is targeting a 95–99% reduction in assignment time, from a 72-hour service-level target to under an hour, alongside a projected reduction of up to 40% in overall handling and lead times. Engineers remain responsible for decisions because the system posts recommendations as Jira comments rather than automatically changing ticket assignments, allowing the company to evaluate accuracy and incorporate feedback before expanding automation. Vestas is also considering integrating turbine log data with Jira history to provide deeper diagnostic context, potentially extending the agent from ticket triage into broader software-support and resolution workflows.

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