Move beyond deflection with AI agents that resolve issues end-to-end

Ringg AI deploys voice and chat agents that complete customer tasks — bookings, refunds, qualification and more — and can be embedded directly into Zendesk workflows to reduce agent load and improve resolution speed.

Why this demo

Zendesk handles millions of tickets — this prototype simulates Ringg AI autonomously resolving a support ticket from channel handoff to final resolution and a webhook event back into Zendesk.

Live prototype — Ringg AI handling a Zendesk ticket

Preset sample: Ticket #Z-581109

Zendesk ticket (editable)

Simulation

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Orchestration latency

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Actions taken

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Auto-resolved

Ringg AI agent transcript

Paste a Zendesk ticket on the left and press "Run Ringg AI agent" to simulate an autonomous resolution.

Result snapshot

No result yet.

How Ringg AI fits into Zendesk

Auto-resolve routine tickets — Ringg AI picks up mid-priority tickets and attempts resolution before routing to agents.
Voice callbacks for high-touch cases — schedule a Ringg agent call and attach the transcript to the ticket automatically.
Two-way sync — Ringg writes outcomes back to Zendesk via webhooks or Sunshine events (sample below).

Why this helps Zendesk

Reduce handle time on repetitive tasks (bookings, reschedules, confirmations).
Keep historical context in the ticket — agent remembers prior interactions across channels.
Scale voice at low latency and maintain SLA by offloading routine calls.

Integration snapshot — webhook example (simulated)

Embed Ringg AI as a webhook/trigger inside Zendesk (Sunshine or trigger). When a ticket matches your rule, Ringg receives the payload, runs the agent, and posts a ticket update back.

// Simulated example: Zendesk trigger calls Ringg AI orchestration
POST https://api.ringg.ai/v1/orchestrations
Content-Type: application/json

{
  "source": "zendesk",
  "ticket_id": "Z-581109",
  "customer": { "name": "Priya R.", "email": "priya.r@example.com" },
  "intent": "reschedule_appointment",
  "context": {
    "booking_ref": "BK-9221",
    "preferred_dates": ["2026-06-30","2026-07-01"]
  },
  "callback_url": "https://your-zendesk-instance.zendesk.com/api/v2/tickets/Z-581109/comments",
  "webhook_auth": { "type": "bearer", "token": "" }
}

// Ringg AI responds (simulated)
HTTP/1.1 200 OK
{
  "orchestration_id": "org_7c1f2",
  "status": "completed",
  "actions": ["called_customer","confirmed_identity","rescheduled_booking","updated_ticket"],
  "summary": "Appointment moved to 2026-06-30 at 2:30 PM — clinic: East Point Clinic, confirmed by customer.",
  "ticket_update": {
    "public": true,
    "body": "Ringg AI resolved the ticket: appointment rescheduled to 2026-06-30 14:30. Booking BK-9221. — Ringg AI"
  }
}

See Ringg AI pilot results in your Zendesk instance

Schedule a short pilot: we’ll wire Ringg into a single trigger and show you live reductions in handle time and ticket escalations.

Request pilot

Contact: vinod.shah@zendesk.com