Agentic Ticket Management
by Druid AI
Description
An LLM-powered business application that enables users to create, update, and manage support tickets through natural, multilingual conversations, while streamlining workflows for both customers and human agents.
Agentic Ticket Management provides a unified, conversational interface for handling support tickets across customer support, IT helpdesk, and employee service environments. Powered by DRUID LLM and integrated with DRUID Data Services, the solution guides users through ticket creation, validation, updates, and resolution. It delivers instant responses via the Knowledge Base, confirms accuracy with automated validators, and seamlessly hands off cases to human agents when needed.
All ticket data is stored centrally in English for consistency, while the Response Translation Agent ensures that users can interact in their native languages. Human agents benefit from an integrated workspace where they can review, edit, or expand on automated responses, which can then be added back into the Knowledge Base to enrich future conversations. The solution balances automation and human oversight, ensuring efficient resolution, accurate classification, and a scalable support experience.
Agentic Ticket Management provides a unified, conversational interface for handling support tickets across customer support, IT helpdesk, and employee service environments. Powered by DRUID LLM and integrated with DRUID Data Services, the solution guides users through ticket creation, validation, updates, and resolution. It delivers instant responses via the Knowledge Base, confirms accuracy with automated validators, and seamlessly hands off cases to human agents when needed.
All ticket data is stored centrally in English for consistency, while the Response Translation Agent ensures that users can interact in their native languages. Human agents benefit from an integrated workspace where they can review, edit, or expand on automated responses, which can then be added back into the Knowledge Base to enrich future conversations. The solution balances automation and human oversight, ensuring efficient resolution, accurate classification, and a scalable support experience.