Pavlo
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Pavlo Demchenko

AI Automation Expert & Systems Architect

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Cover image for My client wanted more booked calls and less time glued to th...
My client wanted more booked calls and less time glued to their inbox. So we automated the entire appointment pipeline with a smart AI assistant 🙌 😍 Here’s what I built: The moment a lead sends a message, the AI takes over. It chats like a real assistant, collects all the needed info, checks availability in real time, and books the meeting automatically. It creates the event in Google Calendar, updates the CRM/Sheets, and generates instant confirmation + reminder emails. It can also reschedule, cancel, and qualify leads before booking — all without the client lifting a finger. 🚀 Results: - Reduced manual scheduling time by 95%. - Boosted completed bookings by 40%. - Zero missed messages — every lead now gets answered instantly, 24/7.
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Cover image for Just finished building a powerful automation for a client wh...
Just finished building a powerful automation for a client who wanted to speed up the entire post–sales call proposal process — without adding more manual work 🙌 😍 Here’s what I built: After every sales call, the client simply fills out a short 3-minute form. From there, the system takes over: AI generates clean, professional proposal copy based on the form input. A fully structured PandaDoc draft is created automatically. The lead record in ClickUp gets updated instantly. A ready-to-send email draft is created in Gmail so the client can follow up with one click. 🚀 Results: - Cut proposal creation time by 90%. - Increasing in payments by 50% (compared to every previous unpaid invoice). - Clients got lost by 30% less.
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This could be a game-changer in the UGC niche. I built this UGC content system and helped a retail store generate an extra $5K. 🚀 You can check the results in the video. What do you think?
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Cover image for Just wrapped up a simple automation for an architecture firm...
Just wrapped up a simple automation for an architecture firm client struggling with slow, manual document processing🙌 . 😍 Here’s what I built: This system monitors a Google Drive folder, converts PDF documents into clean text chunks with Unstructured, generates OpenAI embeddings, and upserts vectors into Pinecone. It’s a practical, production-ready starting point for Retrieval-Augmented Generation (RAG) that you can plug into a chatbot, semantic search, or internal knowledge tools. 🚀 Results: Saved 10+ hours per week in document prep. Improved document analyse speed by 80%. Improves understanding of the necessary information by 16%.
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How did I save 5+ hours/week for an architecture firm with just one system? AI Social Media Content Generation — that’s the answer. 💯 You can check the key points in this video. What do you think? Do you like how I presented it?
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