An Orkeste AI support agent reads tickets in Zendesk or conversations in Intercom, searches your Confluence pages and its knowledge base for the answer, and drafts a reply based on what it found. Sensitive or unclear cases go to a person with a summary attached.
Read new Zendesk tickets and Intercom conversations. Search Confluence for the answer and draft a reply. For anything about billing, cancellations or enterprise accounts, add an internal note with a summary and alert #support on Slack.
Reads new tickets and conversations, identifies the topic and the urgency, and lists what needs a person first.
Searches Confluence and the agent’s knowledge, then writes a reply that follows your real procedure instead of guessing.
When a case needs a specialist, it adds an internal note with the summary and what was already tried, and alerts the team in Slack.
Writes short summaries of long threads, so hand-offs between shifts lose nothing.
Customer-facing replies can wait in Validations for your team to approve or edit. Most teams keep that step on for billing, cancellations and enterprise accounts. Your team keeps tone, judgement and accountability.
No. It takes the searching and the first draft. Your team reviews replies, handles the judgement calls and owns every escalation.
Replies are written from what the agent finds in Confluence and its knowledge base, and the approval step lets your team catch anything off before a customer sees it.
Connect Zendesk or Intercom and Confluence from the Connectors page, start from the support template in the Role Library and review the first drafts in Validations.
Data is encrypted in transit and at rest and hosted in the EU, connector tokens are encrypted and isolated per workspace, and each agent only uses the connectors you attach to it. Every run is kept in the Control Room.