60
A2A
Track client reply SLAs in Gmail with OpenAI, Google Sheets, and Slack
n8n-workflow-21255.n8n.io
· n8n.io
Quick overview This workflow runs hourly to find Gmail threads where a client is waiting for your reply, uses OpenAI to triage and summarize new overdue messages, logs SLA timing in Google Sheets, and posts new and escalated reminders to a Slack channel. How it works 1. Runs every hour on a schedule. 2. Reads recent Inbox and Sent messages from Gmail and matches them by thread to identify client emails that are still awaiting your reply. 3. Compares the currently-waiting threads against a Google Sheets “Reply Log” to detect newly-due threads, threads that have become overdue, and threads you have already replied to. 4. For newly-due or overdue unlogged threads, sends the email preview to OpenAI to decide whether a reply is needed, assign a priority, and generate a short summary. 5. Appends each new thread evaluation to the Google Sheets “Reply Log” and posts a formatted alert to Slack only when OpenAI indicates a reply is needed. 6. For still-unanswered threads that cross 2× the reply
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Trust score
60/100
grade C · 2 of 9 criteria apply
Uptime
not graded
catalogue listing · no agent card to probe
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Listing drift · 7d
stable
1 snapshot tracked
Owner
unverified
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C
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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C
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.
n/a
Agent card
n/a
Not applicable: a workflow template listed by n8n.io. The host serves no A2A agent card at /.well-known/agent-card.json, so the card criteria are not scored.
n/a
Live endpoint
n/a
Not applicable: a workflow template you import, not a hosted endpoint.
n/a
Protocol version
n/a
Not applicable: no A2A agent card served.
n/a
JWS signature
n/a
Not applicable: no A2A agent card served.
n/a
Uptime track record
n/a
Not applicable: our probes looked for an A2A agent card, which this host does not serve. That says nothing about the API's availability, so it is not graded.
n/a
Skill declaration
n/a
Not applicable: no A2A agent card served.
partial
Verified Identity
5/10
Provider declared: n8n.io (https://n8n.io). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
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Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs
pass
Freshness + modern flags
4/5
seen in upstream source within 0d
n/a
Security declaration
n/a
Not applicable: no A2A agent card served.
Activity (audit trail)
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.
Listing history
1 snapshot Every change to the catalogue entry| Captured | Hash | Snapshot |
|---|---|---|
| 2026-10-23 07:59:01 current | 6a879d05c319… |
view → |
Uptime
not graded
catalogue listing · no agent card to probe
Response
—
no direct probe retained
Skills
0
declared
Streaming
—
SSE-capable
Endpoints
| Agent card | https://n8n.io/workflows/21255 |
| Provider | https://n8n.io |
| Docs | https://n8n.io/workflows/21255 |
Discovered via
n8n_workflows
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Audit-grade evidence bundle
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Raw agent card JSON
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"displayName": "Code",
"typeVersion": 2,
"nodeCategories": [
{
"id": 5,
"name": "Development"
},
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 839,
"icon": "fa:clock",
"name": "n8n-nodes-base.scheduleTrigger",
"codex": {
"data": {
"alias": [
"Time",
"Scheduler",
"Polling",
"Cron",
"Interval"
],
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0"
}
},
"group": "[\"trigger\",\"schedule\"]",
"defaults": {
"name": "Schedule Trigger",
"color": "#31C49F"
},
"iconData": {
"icon": "clock",
"type": "icon"
},
"displayName": "Schedule Trigger",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 1123,
"icon": "fa:link",
"name": "@n8n/n8n-nodes-langchain.chainLlm",
"codex": {
"data": {
"alias": [
"LangChain"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Chains",
"Root Nodes"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Basic LLM Chain",
"color": "#909298"
},
"iconData": {
"icon": "link",
"type": "icon"
},
"displayName": "Basic LLM Chain",
"typeVersion": 2,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1153,
"icon": "file:openAiLight.svg",
"name": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Language Models",
"Root Nodes"
],
"Language Models": [
"Chat Models (Recommended)"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "OpenAI Chat Model"
},
"iconData": {
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},
"displayName": "OpenAI Chat Model",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1179,
"icon": "fa:code",
"name": "@n8n/n8n-nodes-langchain.outputParserStructured",
"codex": {
"data": {
"alias": [
"json",
"zod"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Output Parsers"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Structured Output Parser"
},
"iconData": {
"icon": "code",
"type": "icon"
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"displayName": "Structured Output Parser",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
}
]
},
"detail": {
"description": "Quick overview This workflow runs hourly to find Gmail threads where a client is waiting for your reply, uses OpenAI to triage and summarize new overdue messages, logs SLA timing in Google Sheets, and posts new and escalated reminders to a Slack channel. How it works 1. Runs every hour on a schedule. 2. Reads recent Inbox and Sent messages from Gmail and matches them by thread to identify client emails that are still awaiting your reply. 3. Compares the currently-waiting threads against a Google Sheets \u201cReply Log\u201d to detect newly-due threads, threads that have become overdue, and threads you have already replied to. 4. For newly-due or overdue unlogged threads, sends the email preview to OpenAI to decide whether a reply is needed, assign a priority, and generate a short summary. 5. Appends each new thread evaluation to the Google Sheets \u201cReply Log\u201d and posts a formatted alert to Slack only when OpenAI indicates a reply is needed. 6. For still-unanswered threads that cross 2\u00d7 the reply target, updates the row as overdue in Google Sheets and posts an escalation message to Slack. 7. When a reply is detected for an open thread, updates the Google Sheets row with replied time and calculated response hours. Setup 1. Connect credentials for Gmail, Google Sheets, OpenAI, and Slack. 2. Create a Google Sheets tab named \u201cReply Log\u201d with columns matching the fields the workflow writes (including inboundmessageid, threadid, clientemail, subject, summary, priority, stage, status, receivedat, flaggedat, repliedat, and responsehours). 3. In the workflow\u2019s settings values, set your email address, internal domains to exclude, replytargethours and lookbackdays, the Google Sheet ID, and the target Slack channel (and optionally set clientdomains to limit monitoring). Requirements - Gmail account (used for both inbox and sent mail) - OpenAI API key, a Google Sheet with a Reply Log tab, and a Slack workspace Customization - List clientdomains to watch only specific clients, and adjust replytargethours - Change the Gmail search to watch one label or a shared client inbox - Add a weekly Slack summary of average response hours per client from the Reply Log"
}
}