The request is understood
Intent and urgency are drawn from the message, its attachments and the history.
It understands the request, fills in what is missing, and searches similar records and the knowledge base. Requests it can resolve are closed automatically, while complex topics go to the right queue.
AI triage
Ticket management board
New request
OpenTicket classification
Triage
AutomaticPriority and SLA suggestion
SLA risk
PriorityKnowledge base answers
Suggested fix
ReadyAgent summaries
Record #4821 was routed to the second-line support team in the ticketing system.
Intent and urgency are drawn from the message, its attachments and the history.
An answer is suggested from the knowledge base and similar records.
Anything still open is handed to the right specialist team with a summary.
The quality bar in the support operation rises; users get faster answers while teams keep the backlog under control.
FCR
focused answers
SLA
risk alerts
Summary
agent handoff
An AI helpdesk automatically classifies and prioritises incoming support requests, produces answers from the knowledge base and routes unresolved cases to the right team. It sits on top of the ticketing system you already use.
No. The solution works with tools such as Jira, Zendesk or Freshdesk, or with an in-house ticketing system, through an API; tickets keep opening and closing in the same place.
Topic, urgency and customer type are set the moment a ticket opens; records at risk of breaching are flagged before the SLA expires and the manager is notified.
We review your ticketing system, knowledge base and SLA rules, then map out a triage flow supported by voice assistants and chatbots.