Triage WhatsApp clinic requests with OpenAI, Slack, and Data Tables
n8n-workflow-21554.n8n.io
· n8n.io
Quick overview This workflow receives patient WhatsApp messages via WAHA, uses OpenAI to extract structured administrative triage details, stores each case in an n8n Data Table, posts human-review items to Slack, and either replies with safe clinic info or runs scheduled Slack follow-ups until the clinic team closes the case. How it works 1. Receives inbound WhatsApp messages via a WAHA webhook (or a manual test trigger) and filters out outbound, group, and empty events. 2. Normalizes the payload and sends the message text to OpenAI to classify intent, urgency, and whether the case requires human review, returning a strict JSON result. 3. Builds a case record (including follow-up settings) and upserts it into the n8n Data Table named “Clinic Demo Cases”. 4. If human review is required, posts the case details to a Slack channel for escalation (either tagged for Dot review or marked as n8n-owned fallback monitoring) and sends an acknowledgement back to the patient via WAHA. 5. If human r
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Conformance score: 60/100
Catalogue listing, not an A2A agent: a workflow template listed by n8n.io. Scored on the 2 criteria that apply (9 of 15 points, scaled to 100); the A2A card criteria do not apply.
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last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.
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1 snapshot Every change to the catalogue entry| Captured | Hash | Snapshot |
|---|---|---|
| 2026-10-25 14:36:37 current | a37666b69c0f… |
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Endpoints
| Agent card | https://n8n.io/workflows/21554 |
| Provider | https://n8n.io |
| Docs | https://n8n.io/workflows/21554 |
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},
"displayName": "OpenAI Chat Model",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1225,
"icon": "file:form.svg",
"name": "n8n-nodes-base.formTrigger",
"codex": {
"data": {
"alias": [
"table",
"submit",
"post"
],
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.formtrigger/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Other Trigger Nodes"
]
}
}
},
"group": "[\"trigger\"]",
"defaults": {
"name": "On form submission"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "n8n Form Trigger",
"typeVersion": 3,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 1273,
"icon": "fa:project-diagram",
"name": "@n8n/n8n-nodes-langchain.informationExtractor",
"codex": {
"data": {
"alias": [
"NER",
"parse",
"parsing",
"JSON",
"data extraction",
"structured"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.information-extractor/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Chains",
"Root Nodes"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Information Extractor"
},
"iconData": {
"icon": "project-diagram",
"type": "icon"
},
"displayName": "Information Extractor",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1315,
"icon": "fa:table",
"name": "n8n-nodes-base.dataTable",
"codex": {
"data": {
"alias": [
"data",
"table",
"knowledge",
"data table",
"table",
"sheet",
"database",
"data base",
"mysql",
"postgres",
"postgresql",
"airtable",
"supabase",
"noco",
"notion"
],
"details": "Data table",
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.datatable/"
}
]
},
"categories": [
"Core Nodes",
"Development"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers"
]
}
}
},
"group": "[\"input\",\"transform\"]",
"defaults": {
"name": "Data table"
},
"iconData": {
"icon": "table",
"type": "icon"
},
"displayName": "Data table",
"typeVersion": 1,
"nodeCategories": [
{
"id": 5,
"name": "Development"
},
{
"id": 9,
"name": "Core Nodes"
}
]
}
]
},
"detail": {
"description": "Quick overview This workflow receives patient WhatsApp messages via WAHA, uses OpenAI to extract structured administrative triage details, stores each case in an n8n Data Table, posts human-review items to Slack, and either replies with safe clinic info or runs scheduled Slack follow-ups until the clinic team closes the case. How it works 1. Receives inbound WhatsApp messages via a WAHA webhook (or a manual test trigger) and filters out outbound, group, and empty events. 2. Normalizes the payload and sends the message text to OpenAI to classify intent, urgency, and whether the case requires human review, returning a strict JSON result. 3. Builds a case record (including follow-up settings) and upserts it into the n8n Data Table named \u201cClinic Demo Cases\u201d. 4. If human review is required, posts the case details to a Slack channel for escalation (either tagged for Dot review or marked as n8n-owned fallback monitoring) and sends an acknowledgement back to the patient via WAHA. 5. If human review is not required, sends the schema-validated administrative reply back to the patient via WAHA. 6. Runs every 10 minutes to find due n8n-owned cases in the Data Table, uses OpenAI to generate a structured operational reminder, posts it to Slack, and updates reminder counters and status until max reminders are reached. 7. Accepts clinic staff updates through an n8n Form, updates the corresponding Data Table row, and posts a confirmation to Slack to stop further scheduled reminders. Setup 1. Add an OpenAI credential and select it in the OpenAI Chat Model used by both the triage and follow-up reminder steps. 2. Add a Slack credential and set the target channel (for example, #clinic-escalations) in all Slack message steps. 3. Set up WAHA and create an HTTP Header Auth credential with header X-Api-Key, then update the WAHA base URL and configure WAHA to send inbound messages to the workflow\u2019s webhook URL. 4. Create or update the n8n Data Table \u201cClinic Demo Cases\u201d to include the required columns (including monitoring fields like monitorowner, nextfollowupat, remindercount, and maxreminders). 5. Review \u201cWorkflow Configuration\u201d values (especially coordinationMode, reminderIntervalMinutes, and maxReminders) and keep the Clinic Case Update Form URL private for internal use. Requirements - n8n \u2013 Workflow automation orchestrator. - WAHA \u2013 Receives WhatsApp messages and sends patient responses. - OpenAI \u2013 Provides structured administrative classification and fallback reminder decisions. - Dot \u2013 Proactive agent responsible for monitoring Slack cases, following unresolved responsibilities, escalating important cases, and preparing summaries. - Slack \u2013 Shared coordination channel for initial escalations, Dot monitoring, fallback reminders, and case updates. - n8n Data Table \u2013 Stores cases, monitoring ownership, reminder state, team notes, and resolution status. - n8n Form Trigger \u2013 Provides the internal Clinic Case Update Form. - Credentials \u2013 OpenAI, Slack OAuth, and WAHA X-Api-Key credentials must be configured. - Dot setup \u2013 Dot must have access to #clinic-escalations and must confirm its monitoring responsibility. - Demo safety \u2013 Dummy patient data should be used until applicable privacy, access-control, consent, retention, security, and regulatory requirements are completed. Additional info Additional info Connect with us: Website: https://www.intuz.com/n8n-workflow-automation-templates/ Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz For Custom Workflow Automation Get Started: https://n8n.partnerlinks.io/intuz"
}
}