Classify incoming support tickets automatically with AI
When a new ticket is created in Kayako, automatically analyze its text and extract key metadata using Google AI Studio (Gemini) to streamline triage.
See all Google AI Studio (Gemini) + Kayako integrations or talk to a human
Google for Startups AcceleratorHow Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
Google AI Studio (Gemini) Explore Google AI Studio (Gemini) →
TriggersFires when Google AI Studio (Gemini) generates a response to a prompt.
Fires when a request to Google AI Studio (Gemini) errors or times out.
Fires when a fine-tuning job in Google AI Studio (Gemini) finishes.
Sends a prompt to Google AI Studio (Gemini) and returns the model's response.
Uses Google AI Studio (Gemini) to summarize a block of text.
Uses Google AI Studio (Gemini) to classify or extract structured data from text.
Kayako Explore Kayako →
TriggersFires when a new support ticket is created in Kayako.
Fires when a ticket's status changes in Kayako.
Fires when a ticket in Kayako is assigned to an agent.
Fires when a ticket in Kayako breaches its response SLA.
Creates a new ticket in Kayako.
Updates a ticket's status in Kayako.
Assigns a ticket in Kayako to an agent.
Posts an internal or public comment on a ticket in Kayako.
More Google AI Studio (Gemini) + Kayako workflows
See all Google AI Studio (Gemini) + Kayako integrations → · Browse the full workflow library →
Enterprise-grade security
Common questions
Can Knit build “Classify incoming support tickets automatically with AI” between Google AI Studio (Gemini) and Kayako?
Yes — describe it in the box above and Knit's Integrations Agent researches Google AI Studio (Gemini) and Kayako's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
What's the most common AI Models + Ticketing automation?
Having Google AI Studio (Gemini) draft a suggested reply or summary for a new ticket in Kayako, or auto-suggest a priority and category based on the ticket's content.
Does a human still review the AI's suggestion before it's sent?
That's up to how you configure it — the Agent can draft a reply for a human to approve, or, for lower-stakes categorization, act directly on Kayako.