Ridha Amaly
AI Automation | CRM Development | n8n | GHL
I craft cohesive, enterprise-grade digital systems for SaaS & tech brands. From unified art direction across 30+ pages to copy-aware layouts and Figma motion prototyping, I build scalable Webflow-ready designs—smartly backed by custom AI & workflow automation. Let’s connect!
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Ringcentral + N8N Automated AI Call Quality Assurance & CRM Sync
I engineered an enterprise-grade automation pipeline using n8n, RingCentral, and Anthropic (Claude AI) to revolutionize call monitoring. Key Features: AI-Powered QA: Automated analysis of call transcripts with sentiment scoring, summary generation, and performance grading. Real-time Alerts: Instant Slack notifications for low scores or critical compliance flags. CRM Integration: Seamless data syncing to GoHighLevel (GHL) and Google Drive/Docs reporting. Smart Logic: Implemented advanced deduplication and automated missed call SMS auto-replies. This solution eliminated manual call reviews
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Hi everyone, i want to share my recent project.
AI Multi-Agent Sales Chatbot (RAG + Semantic Search) ✅
This is a sophisticated AI sales agent for a parts shop. It uses an AI "router" to understand customer intent and dispatch the query to the correct specialized agent.
🎯 Core Integrations:
.WhatsApp (via Webhook)
.Google Gemini (Multi-Agent AI)
.Supabase (Vector Database)
.Google Sheets (Live Product Catalog)
📚 Key Functions:
. Intent Router: A Gemini agent classifies intent (SOP, Product, Greeting).
. RAG Agent: Answers policy/SOP questions ("Can I return this?") by querying a Supabase knowledge base.
. Semantic Search Agent: For product queries ("Got brake pads for a 2019 Brio?"), it extracts entities, searches the Google Sheet catalog, and provides precis stock/price info.
Open to any collaboration. Let's discuss more.
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Hi, i'm new here. I want to share my recent project.
AI Knowledge Base Automation (RAG Pipeline).
This workflow is a sophisticated backend solution for building custom AI assistants. It automates the creation of a Retrieval-Augmented Generation (RAG) knowledge base, transforming your static business documents into a dynamic, intelligent, and queryable AI memory.
Core Integrations:
. Google Docs: Serves as the primary source for knowledge (e.g., SOPs, FAQs, product information).
. Google Gemini AI: Leveraged for its powerful embedding models to understand the semantic meaning of the text.
Open to any collaboration or internship. Thank you.
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