What if every new lead could be handled before you even open your inbox? ⚡
This AI-powered workflow turns a new email inquiry into a structured, ready-to-handle lead — automatically.
A new inquiry arrives → AI extracts the important details → Airtable/CRM is updated → the response goes through optional human approval → a personalized email is sent → Notion is updated → the team gets notified in Slack → performance data is collected for reporting.
The goal isn't to remove people from the process. It's to remove the repetitive work around them.
This type of workflow can be customized for B2B companies, SaaS businesses, agencies, real estate, e-commerce, recruitment, consulting, customer support, healthcare, finance, education, and other service businesses.
Already know what you want to automate? → Send me your current workflow and I’ll map out how we can automate it.
Still doing repetitive work manually? → Tell me the task that consumes your team’s time, and I’ll help identify what can be automated.
I'd use the human approval step to capture corrections, not just a yes/no decision. If a reviewer changes the extracted lead details, does the workflow update Airtable and the reporting record before sending the email?
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.
An AI-powered automation workflow built with n8n that intelligently processes incoming requests and executes the appropriate API actions.
The workflow receives requests through a webhook and uses an AI Agent to understand the user's intent and determine the required action. It can dynamically route requests to different operations such as retrieving properties, posting URLs, deleting resources, and returning structured results.
The system also includes AI-powered output parsing and automatic output correction to ensure responses follow the expected structure and format.
Key features:
AI-powered request understanding
Webhook-based automation
Intelligent request routing
API integration and dynamic actions
Structured JSON responses
Automatic output parsing and correction
Modular and scalable n8n architecture
Skills / Tools
n8n · AI Agents · Google Gemini · API Integration · Webhooks · JSON · Workflow Automation · AI Automation