Answer patient enquiries for a clinic by chat
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
An n8n workflow has AI classify web-form jobs by type, urgency and summary, create an Airtable record, reply instantly and flag uncertain cases.
An n8n workflow has AI classify web-form jobs by type, urgency and summary, create an Airtable record, reply instantly and flag uncertain cases.
An n8n workflow receives car repair requests from a web form. The AI classifies each by job type, urgency, and summary, then creates an Airtable record and sends an instant customer reply. Uncertain cases are flagged for human review; out-of-scope ones receive an automatic polite decline.
The Airtable base displays job status and timestamps for processed requests.
Build an n8n workflow that triggers when someone submits my [repair request web form]. Have AI classify each request by job type, urgency and a one-line summary, create a record in [Airtable base], and send the customer an instant acknowledgement. If the AI is unsure, flag the job for me instead of replying. Hold outgoing replies for my approval until I've checked a few test runs.
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
Score every demo request against your ICP, update HubSpot and ping the right rep in Slack within a minute of the form submit.
Every new Zendesk ticket gets a category, priority and sentiment tag plus a draft reply in an internal note before an agent opens it.