ReplyCoreAI
Summarize long ticket threads, draft the reply.
AI that condenses long ticket conversations into a clear summary and drafts a context-aware, on-brand reply for the technician to approve.
- Condenses 30+ message threads into a 4-5 point summary and flags the probable root cause separately.
- Drafts a context-aware reply grounded in conversation history, the knowledge base, and similar past resolutions, with citations.
- Calibrates tone against SentimentCoreAI signals so the reply stays empathetic, measured, and solution-focused.
- Keeps the technician in control: every draft is reviewed and approved before it is ever sent.
From signal to outcome
Triggered on demand
Runs when the technician starts the 'draft reply' action on an open ticket.
Gathers context
Reads the full conversation, relevant knowledge base articles, and the three most similar past resolutions.
Presents in drawer
Shows the summary and suggested reply in a right-hand AI drawer for review.
Learns from edits
Technician corrections are fed back to the model to improve future drafts.
The situation
At Lyra University, a password-reset incident had grown to 32 messages; 200+ students risked missing a midterm exam, and technician Elif Sahin was under pressure to respond fast.
The outcome
ReplyCoreAI condensed the 32 messages into a 4-point summary and drafted an empathetic reply; Elif fixed two sentences, approved it, and sent it in two minutes, closing the exam crisis within forty minutes.
Common questions
No. It only produces a summary and a draft in the AI drawer. Every reply requires the technician's review and approval before it is sent, keeping a human in the loop on all customer-facing communication.
See ReplyCoreAI in your workflow.
Book a demo and we'll show ReplyCoreAI working inside the platform — on your real tickets and data.