Ticketify
Classification, prioritization & routing
Classifies, prioritizes and routes incoming tickets.
Ticketify: GenAI-powered IT service management
Context-aware, explainable ticket guidance
Ticketify is a GenAI platform that automates ticket classification, contextual analysis, resolution recommendations and root-cause assistance using NLP and retrieval-augmented generation. It helps service desks handle growing ticket volumes without growing effort at the same rate.
The platform classifies, prioritizes and routes incoming tickets, recommends resolutions based on historical knowledge, identifies recurring incidents and root causes, and generates contextual summaries for support teams. It integrates with JIRA, Zendesk and similar platforms.
Guidance is context-aware and explainable, drawn from your own ticket history and knowledge sources. The outcome is lower mean time to acknowledge and resolve, improved SLA adherence and first-level resolution, less repetitive service-desk effort and better use of enterprise knowledge.
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Key capabilities
From classification to root-cause assistance
Ticketify
Resolution recommendations
Recommends resolutions based on historical knowledge.
Ticketify
Recurring incidents & root causes
Identifies recurring incidents and root causes.
Ticketify
Contextual summaries
Generates contextual summaries for support teams.
Ticketify
JIRA, Zendesk & more
Integrates with JIRA, Zendesk and similar platforms.
FAQ
Frequently asked questions
Our service desk is overloaded with repetitive tickets. How does Ticketify help?
It automatically classifies, prioritizes and routes tickets and recommends resolutions, reducing repetitive effort for your agents.
Will we need to change our ticketing tool?
No. Ticketify integrates with JIRA, Zendesk and similar platforms.
Can we trust the recommendations it gives?
Recommendations are context-aware and explainable, grounded in your own ticket history and knowledge sources.
How does it help us find why the same incidents keep recurring?
Ticketify identifies recurring incidents and assists with root-cause analysis, so teams can fix underlying problems.
Can it help us meet our SLAs?
By lowering time to acknowledge and resolve and improving first-level resolution, Ticketify supports better SLA adherence.
Does it use our own knowledge, or generic answers?
It uses your enterprise ticket history and knowledge sources through retrieval-augmented generation, so guidance reflects your environment.