Tickets sat up to 72 hours while engineers chased submodule owners. An agent now posts a recommendation and similar cases; engineers decide.
A global wind turbine manufacturer whose software support teams handle 100 to 150 tickets per month across a highly specialized, component-specific codebase for a worldwide turbine fleet.
Each ticket required manual review, cross-referencing against historical issues, and direct outreach to submodule owners when cases were unclear....
Wind turbine manufacturer and sustainable energy solutions provider.
AI and machine learning platform for enterprise data science and analytics.
Vestas's Support ticket routing is part of this use case:
Related implementations across industries and use cases
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Four separate portals slowed resolution for 50,000 staff. A GenAI agent in Teams now resolves queries instantly in 17 languages.
Four separate portals slowed resolution for 50,000 staff. A GenAI agent in Teams now resolves queries instantly in 17 languages.
Routine, multilingual requests bottlenecked IT. An AI assistant in Teams now resolves staff queries instantly in six languages.
Two-person team, 10 power plants. Daily threat queries ate 2 hours; now agents run them while humans stay on consequential calls.
350,000 track images reviewed by hand each month, always chasing failures. TrackDefectX now catches defects before they escalate.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
AI costs scattered across teams with no owner, no baseline. A single view surfaced the true scale—two-thirds was labor, not compute.
Tickets sat up to 72 hours while engineers chased submodule owners. An agent now posts a recommendation and similar cases; engineers decide.
A global wind turbine manufacturer whose software support teams handle 100 to 150 tickets per month across a highly specialized, component-specific codebase for a worldwide turbine fleet.
Each ticket required manual review, cross-referencing against historical issues, and direct outreach to submodule owners when cases were unclear....
Wind turbine manufacturer and sustainable energy solutions provider.
AI and machine learning platform for enterprise data science and analytics.
Vestas's Support ticket routing is part of this use case:
Related implementations across industries and use cases
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Four separate portals slowed resolution for 50,000 staff. A GenAI agent in Teams now resolves queries instantly in 17 languages.
Four separate portals slowed resolution for 50,000 staff. A GenAI agent in Teams now resolves queries instantly in 17 languages.
Routine, multilingual requests bottlenecked IT. An AI assistant in Teams now resolves staff queries instantly in six languages.
Two-person team, 10 power plants. Daily threat queries ate 2 hours; now agents run them while humans stay on consequential calls.
350,000 track images reviewed by hand each month, always chasing failures. TrackDefectX now catches defects before they escalate.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
AI costs scattered across teams with no owner, no baseline. A single view surfaced the true scale—two-thirds was labor, not compute.