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AI & Workflow Automation

AI voice agents and a WhatsApp bot, orchestrated on self-hosted n8n

  • Multi-tenant ready
  • Production deployed
  • Web + mobile

Overview

This suite is a collection of production n8n workflows that put conversational AI on the two channels customers actually use: live phone calls and WhatsApp. Everything runs on a self-hosted n8n instance on a VPS, so credentials, chat memory, and lead data stay on infrastructure we control.

The workflows combine several models and integrations, each chosen per task:

  • LLMs — Groq powers the low-latency WhatsApp assistant; OpenAI powers the sales agent, calendar/helper agents, and lead-summary pipeline
  • Voice — Vapi drives outbound and inbound phone calls, with n8n webhooks exposed as Vapi tool endpoints
  • Messaging — WhatsApp Business Cloud plus Facebook and Instagram webhook channels in the sales agent
  • Data & memory — Google Sheets, Airtable, Postgres chat memory, and Supabase vector store for sales guidance
  • MCP — the sales agent exposes Airtable through MCP client tools for list/read/execute operations

Problem Statement

Inbound leads decay fast, and most small businesses cannot staff a phone line and a chat inbox around the clock. The result is missed calls, slow replies, and bookings that never happen.

  • Speed-to-lead — prospects move on when callbacks arrive hours later
  • 24/7 coverage — messages arrive outside business hours
  • Appointment booking friction — calendar checks and CRM updates get skipped under load
  • Outbound answer rates — automation must be cheap and persistent enough to be worthwhile

These workflows answer instantly on every channel, qualify the lead, and write it straight into the system of record.

Case Study

WhatsApp AI Bot

A focused 7-node workflow that gives a business a conversational WhatsApp presence:

  1. WhatsApp Trigger — fires on each inbound message
  2. AI Agent — concise assistant for Toshi Consulting Services with human handoff when unsure
  3. Groq Chat Model — fast responses for chat
  4. Conversation Memory — sliding window for thread context
  5. Google Sheets tool — agent can read sheet data during chat
  6. Send WhatsApp Reply — returns the agent response
  7. Log to Google Sheet — records timestamp, sender, message in, and AI reply

Vapi Voice Agents

Phone Agent (10 nodes) is an outbound-call lead engine: form intake → website scrape → LinkedIn enrichment → lead summary → Airtable → Vapi outbound call.

Sales Agent w MCP (63 nodes) is the flagship omnichannel agent with WhatsApp, Facebook, and Instagram intake, Postgres memory, Supabase RAG, Calendar and CRM sub-agents, and Airtable via native nodes plus MCP tools.

Supporting Vapi tool endpoints include Vapi Calendar (Google Calendar book/update/cancel) and Vapi Invoice (LeadConnector hook for mid-call invoice lookup).

Screenshots

Messaging bot workflow canvas
Visual workflow builder for automated messaging bots.
Voice sales agent workflow canvas
Voice-enabled sales agent workflow with call routing and CRM handoff.
Phone agent workflow canvas
Inbound phone agent workflow with IVR, intent detection, and escalation.

Interested in AI & Workflow Automation?

Talk to our team about deployment, customization, or a demo for your organization.

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