AI Customer Communication & Recovery Agent built with n8n 🤖 I recently built an end-to-end AI wo...AI Customer Communication & Recovery Agent built with n8n 🤖 I recently built an end-to-end AI wo...
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AI Customer Communication & Recovery Agent built with n8n 🤖
I recently built an end-to-end AI workflow designed to help businesses handle customer communication and recovery more efficiently.
The system can:
• Analyze customer data and identify lead/customer temperature
• Understand the type of request or issue
• Generate personalized responses
• Route refund and replacement requests
• Handle customer support cases
• Trigger follow-ups
• Identify resolved issues and update the workflow accordingly
The main goal was to eliminate repetitive manual handling while keeping customer communication fast, personalized, and consistent.
This type of automation can be especially useful for businesses dealing with high volumes of customer inquiries, follow-ups, and support requests.
Built with n8n and AI, with the workflow handling the logic and routing from end to end.
An AI-powered phone receptionist built for real estate agencies that answers inbound calls, qualifies leads in real time, and books showings directly to Google Calendar — all within the call itself, with no manual follow-up required.
The problem: Real estate agencies routinely lose leads to missed calls — after-hours inquiries, calls during showings, or overflow during busy periods. A slow callback often means the lead has already moved on to a competitor.
What it does:
Answers every call instantly, 24/7
Naturally qualifies the caller (buy/sell intent, area of interest, showing vs. agent call)
Collects contact details and preferred timing conversationally
Checks real-time calendar availability before booking
Prevents double-bookings and duplicate entries automatically
Confirms the appointment out loud before ending the call
Built with: Retell AI (conversational voice layer), n8n (workflow automation and business logic), Google Calendar API (scheduling)
Available for: Custom builds for real estate agencies, brokerages, or property management companies looking to stop losing leads to missed calls
I built an AI-powered Instagram chatbot using n8n, connecting AI, automation, memory, APIs, and knowledge retrieval into one complete workflow.
The chatbot can:
Understand incoming Instagram messages
Maintain conversation context using memory
Retrieve relevant information from a knowledge base
Generate intelligent responses with OpenAI
Automatically respond through the Instagram API
Tech Stack
n8n
OpenAI Chat Model
AI Agent
Pinecone Vector Store
Simple Memory
Instagram API
Webhooks
Switch & If nodes
This project was a great hands-on experience in building an end-to-end AI automation workflow and connecting multiple services to create a practical conversational system.
For me, the key takeaway was that effective AI automation is more than just an AI model, it's about connecting the model with the right data, memory, APIs, and workflow logic.
AI Lead Qualification & Appointment Automation System
AI Lead Conversion Platform — Telegram, CRM & Automated Scheduling
Designed and developed an AI-powered lead conversion system that handles incoming Telegram conversations from first contact to qualification, CRM synchronization, and appointment booking.
The AI works with conversation history, lead profile data, unanswered questions, current funnel stage, available actions, and verified CRM data to determine the next appropriate step and generate structured responses.
The system automatically creates and updates leads in the CRM, manages qualification stages, books meetings, generates Yandex Telemost links, sends reminders, handles rescheduling, and escalates exceptional cases to a human manager.
The architecture includes dialogue state management, message deduplication and batching, PostgreSQL persistence, concurrency protection, validation before actions are executed, and safeguards against sending unverified or prohibited information.
This is not just an AI chatbot — it is an automated sales workflow that connects Telegram, AI, CRM, scheduling, and human escalation into one controlled process.
AI makes decisions within controlled business rules instead of operating as an unrestricted chatbot.
The concurrency safeguards and validation-before-actions detail is a strong distinction here—booking systems usually fail at the edges, not in the happy path. I’d expose a compact lead state to the operator (stage, next action, last unanswered question) so a human can resume...