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ExpertEnterpriseChatbots & Conversational AIChat trigger32 nodes

Handle chat messages in real time for Voice in chat

Answers live in a chat window across Google Sheets, Slack and PostgreSQL, hands the decision to an AI agent with its own tools, then branches on the check before anything is written. Built for voice, around a "Normalize Conversation Payload" step, in 32 documented nodes.

Handle chat messages in real time for Voice. An original, ready-to-import n8n workflow built around the 'Chatbot Responder' pattern for customer support. It starts from a chat message and orchestrates 32 nodes using core n8n nodes. It uses n8n's LangChain AI nodes (Agent/Chain + chat model). Retry-on-fail is enabled on external calls. Import the JSON, add your credentials, and adapt the parameters. Your team sees the right data at the right time.

Key benefits

  • Keeps Google Sheets and Slack in step for voice, without anyone re-typing a row
  • Safe to re-run: records already in Google Sheets or Slack are skipped, across all 32 nodes of this voice build
  • A failed Google Sheets or Slack call is retried rather than dropped, at any of the 32 nodes in this voice build
  • Branches rejoin before Google Sheets, so a voice run reports once rather than 32 times
  • Every voice run leaves an audit row behind, alongside Google Sheets

Use cases

  • Teams keeping Google Sheets and Slack aligned by hand for voice
  • Voice work that needs a judgement call per item before it reaches Google Sheets
  • Voice conversations in Google Sheets you would rather not staff around the clock
  • Voice work where "Normalize Conversation Payload" is still a manual step before Google Sheets

Integrations

Google SheetsSlackHTTP / REST APIPostgreSQLGroq

Workflow preview (32 nodes)

The template's actual node layout and connections. Node parameters and credential slots unlock with the download.

When Chat Message Recei…Chat TriggerNormalize Conversation …CodeReason & Act (AI Agent)AgentGroq Chat ModelLm Chat GroqLookup API DataTool Http RequestThink It ThroughTool ThinkRun CalculationsTool CalculatorSearch Reference WikiTool WikipediaConversation MemoryMemory Postgres ChatShape Agent OutputSetConfident Enough?IfDeliver Answer + Log to…Google SheetsEscalate to Human QueueSlackJoin OutcomesMergeEnrich with Reference D…Http RequestFold In Enrichment Fiel…SetOffload to Post-Process…Execute WorkflowRecord Sub-workflow Res…Execution DataFingerprint for Idempot…CodeDrop Already-Processed …Remove DuplicatesSerialize Run Output (C…Convert To FileArchive Row SnapshotGoogle SheetsLoad Previous SnapshotGoogle SheetsCompute Drift vs Snapsh…CodeStamp Completion TimeDate TimePersist Run MetadataExecution DataSummarize Run StatsSetAppend Audit Row (Googl…Google SheetsSend Summary to SlackSlackCapture Failure ContextSetEscalate Failure to Sla…SlackPark in Dead-Letter Que…Google Sheets

What's inside (32 nodes)

A look at the node types this workflow uses. No purchase required — full parameters and credentials are yours after you buy.

AgentChat TriggerCodeConvert To FileDate TimeExecute WorkflowExecution DataGoogle SheetsHttp RequestIfLm Chat GroqMemory Postgres ChatMergeRemove DuplicatesSetSlackTool CalculatorTool Http RequestTool ThinkTool Wikipedia

Agent tools included (4)

An AI Agent is only as capable as the tools wired into it. These are read from the template's own graph — every one is a real node in the file you download.

  • Lookup API Data · HTTP request
  • Run Calculations · Calculator
  • Search Reference Wiki · Wikipedia
  • Think It Through · Scratchpad reasoning

Conversation memory is attached, so the agent carries earlier turns of a session.

From download to running in 3 steps

  1. 1
    Import. In n8n, open Workflows → menu → “Import from File” and pick the downloaded JSON.
  2. 2
    Connect. Add your own credentials on the app nodes - n8n highlights exactly which ones need them.
  3. 3
    Activate. Run it once to test, then toggle Active. The automation is live.

What you'll learn

Architect level

The deepest tier - sub-workflow delegation, state snapshots, and full observability.

  • Handling a live chat trigger and keeping per-session conversation memory
  • Handling a live chat trigger and shaping each reply before it is sent
  • Escalating to a human when the bot cannot answer

Every node carries its own documentation on the canvas, plus notes explaining why the architecture was built this way, a credential setup guide, troubleshooting, and three practice exercises. Sample data comes pinned to the trigger, so you can hit Execute and watch data flow before connecting a single account.

Common questions

What exactly do I get?

The complete, ready-to-import n8n workflow as a JSON file, delivered instantly after payment. Import it into your own n8n (cloud or self-hosted), add your credentials, and it runs.

How do I import it into n8n?

In n8n, open Workflows, click the three-dot menu, choose “Import from File”, and select the downloaded JSON. Then connect your own app credentials on the highlighted nodes.

Do I need anything else for it to work?

You need your own n8n instance and accounts/credentials for the apps this workflow connects to (Google Sheets, Slack, HTTP / REST API, PostgreSQL). No coding is required.

What if it doesn't work for me?

If the file is faulty, won't import, or isn't as described, contact us within 7 days and we'll fix it or refund you - see our refund policy.

Can I modify or resell it?

You can freely adapt and use it in your own or your clients' projects. Reselling or redistributing the template file itself is not permitted.

Original n8n workflow template created and owned by WorkflowCrate. After purchase you receive the ready-to-import JSON file and a license to use and adapt it in your own projects.