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Case Study · N8N Workflow

A&R Chat Agent

Carpet Cleaning Co. · Calgary

Multi-channel AI chat agent that handles inbound customer inquiries, answers FAQs, and routes booking intents into the same scheduling backend as the WhatsApp assistant.

25 nodesAI AgentGoogle SheetsMemoryWebhook

The actual workflow

The full n8n graph as it runs in production.

A&R Chat Agent workflow in n8n: webhook trigger, AI Agent with memory, tools for FAQ lookup and booking handoff into the same Google Sheets backend used by the owner WhatsApp bot.

Customer-facing AI Agent with conversation memory, FAQ resolution, and booking handoff into the shared Sheets/Calendar backend.

The problem

Customers ask the same five questions before booking: how much, when can you come, do you cover my neighbourhood, what does the service include, and how do I pay. The owner was answering them between routes. Every minute spent on a repeat question was a minute not spent cleaning carpets, or worse, a missed inquiry that walked away to a competitor.

Detailed walkthrough coming soon

I’m writing up the prompt design, FAQ knowledge base, and human-handover guard for this workflow. The graph above is the production version. If you want a deep walkthrough before it’s published, get in touch.

Want a chat agent on your site?

I build customer-facing AI agents that answer FAQs and capture booking intent without the awkward chatbot energy.