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AI voice answering in GoHighLevel for a roofing company, with time-based call routing so calls go to the right place during and after office hours. I also swapped in tracking numbers on their Google Business Profile and confirmed a Call Tracking Metrics integration path for clients who don't want to own assets inside GHL.
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AI-Powered Facebook Messenger Follow-Up Automation | n8n
I built an AI-powered Facebook Messenger Follow-up Automation workflow using n8n to help businesses reconnect with potential customers and reduce missed sales opportunities.
When a customer asks about a product but stops replying, businesses often lose track of the conversation. This workflow helps automate timely, personalized follow-ups while keeping customer experience in mind.
What the Workflow Does
Automated Follow-ups: Sends follow-up messages at the right time.
AI-Powered Personalization: Uses AI to generate personalized messages based on customer conversations.
Order Verification: Checks order status before sending reminders.
Communication Scheduling: Avoids sending messages during late-night hours.
Sales Support: Helps businesses reconnect with interested buyers and reduce manual follow-up tasks.
Tools & Technologies
n8n | AI | Facebook Messenger | Workflow Automation | Order Verification
Project Goal
Demonstrate how AI-powered automation can improve customer communication, streamline sales follow-ups, and create more opportunities for businesses to convert interested buyers.
This is a demo workflow showcasing the potential of AI automation for eCommerce businesses.
Services
I help businesses build AI-powered workflows, sales automation systems, customer support automations, and custom n8n integrations.
#n8n #AIAutomation #FacebookMessenger #eCommerce #SalesAutomation #WorkflowAutomation #Contra
The late-night quiet hours are a nice touch. When a follow-up gets held for the morning, does the workflow re-check the order status at send time, or only when the reminder is first queued?
For an AI scribe, I'd test what happens when someone switches encounters while a draft is still generating.
In my Arogya / Aurora EHR work, typed or dictated rounds become editable drafts. AI content stays advisory, and a clinician explicitly approves anything added to the chart.
The first response should stay attached to its original encounter. Before saving, I'd check that the encounter being reviewed still matches the draft, as well as requiring clinician approval.
That context check belongs in the save workflow, even when the draft reads well.
kapilchauhan.netlify.app
Arogya / Aurora EHR: AI for inpatient care | Kapil Chauhan
Production hospital and EHR platform that accelerates rounds, documentation, records, and care operations with clinician-reviewed AI.
Your Business Doesn't Need More Tools. It Needs Better Systems.
Most businesses don't have a software problem. They have an integration problem.
Their CRM is disconnected from their database. Their spreadsheets require manual updates. Their reports take hours to prepare. Their teams waste valuable time moving information between platforms.
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I'm a Full-Stack AI Engineer specializing in building connected, intelligent business systems.
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I've independently developed complex digital platforms, including government-level systems, international applications, and AI-powered products.
My approach is simple:
Understand the business problem. Design the right architecture. Build the complete solution. Make it reliable.
I'm interested in working with founders, agencies, and businesses looking to modernize their operations and build software that actually solves problems.
Have a complex workflow or an integration challenge? Let's build something that works.
#FullStackDevelopment #AIAutomation #CRMIntegration #WorkflowAutomation #SoftwareEngineering #AIEngineering #Contra
When a CRM-to-database sync fails halfway, how do you handle it: idempotent retries, or a reconciliation pass afterward? That's usually where integrations start to drift.