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An AI-powered workflow that handles incoming messages from email, WhatsApp, and Slack in one place. It classifies each message, drafts replies, routes requests to the right team, and sends alerts for urgent issues, so teams spend less time on routine support.
I'd test one support issue arriving by email and WhatsApp a few minutes apart. Does your workflow link those messages to one open request, or could two teams draft conflicting replies?
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I built an AI voice ordering workflow to help a restaurant capture customer orders and pass them to the kitchen with less manual work.
Using Vapi, I configured a voice assistant with the restaurant’s menu and prices to collect customer details and orders. After each call, a webhook triggers an n8n workflow, where OpenAI extracts the order into structured data. The workflow then notifies the kitchen and logs the order in Google Sheets.
I handled the voice assistant setup, webhook integration, AI prompts, and workflow implementation. The solution reduced manual order entry and made order information easier for the kitchen to access.
Tools: Vapi, n8n, OpenAI, Google Sheets, and webhooks.
Having the assistant feed orders straight into the kitchen cuts the manual handoff. The call transcript in Sheets also gives a clear audit trail.
Where do you think AI agents can make the biggest impact in a real business? 🤖
I'm exploring AI agents and automation through projects with n8n, Python, RAG and APIs.
I'm curious to hear from other builders and founders:
What would you automate first if you could remove one repetitive task from your business?
Lead management? Customer support? Internal operations? Something else?
Would love to hear your ideas 👇
#AIAgents #AIAutomation #n8n #AI #Automation
I saw how linking n8n to a CRM can pull new leads straight into a queue, wiping out the copy paste step.
Building AI automation that actually saves time. ⚡
Lately I've been working with AI agents, n8n, Python, APIs and RAG to turn repetitive business tasks into automated workflows.
From lead qualification and document processing to AI assistants and notifications — the goal is simple:
Less manual work. More intelligent workflows. 🤖
Currently building and experimenting with new automation projects. 🚀
#AIAutomation #AIAgents #n8n #RAG #Python
Turning lead qualification into an AI driven flow really cuts the back and forth of data entry. Automating document parsing with RAG makes the handoff to downstream steps feel instant.