AI automation in dentistry isn’t about replacing dentists. It’s about removing friction from the patient journey. Most dental clinics don’t struggle with skills — they struggle with systems. Here’s how AI automation is quietly transforming dental practices: 1️⃣ Appointment & No-Show Reduction • Automated booking confirmations • Smart SMS & WhatsApp reminders • One-click rescheduling links • Missed-call instant callbacks 👉 Result: Fewer empty chairs. More predictable revenue. 2️⃣ New Patient Lead Handling When someone searches “dentist near me” and submits a form: • Instant auto-response • AI pre-qualifies treatment type (cleaning, braces, implants, whitening) • Priority routing for urgent pain cases 👉 Result: Faster response = higher conversion rate. 3️⃣ Treatment Follow-Up Automation • Post-treatment care reminders • Automated check-in messages • Review request system • Recall reminders every 6 months 👉 Result: Better patient retention + more repeat visits. 4️⃣ Admin Workflow Automation • Digital intake forms • Insurance verification workflows • Payment reminder automation • Automated report generation 👉 Result: Staff focuses on patient care, not paperwork. 5️⃣ AI Insights (Advanced Stage) Once systems are clean, AI can: • Predict busy seasons • Identify high-value treatment patterns • Optimize chair scheduling • Forecast revenue trends 🧠 Smart clinics don’t just work harder. They build systems that work for them 24/7. The future of dentistry isn’t just better tools — It’s better automation.

Here is how I have rebranded airline tickets for a travel agency. Context. A business comes to me and asks, Hey Washim, I have a travel agency, where I book airline tickets for my clients. But the tickets are from different platforms. And I didn't want to let my clients know from where I booked the ticket. I replied - no issues at all. It takes no more than 1 day. How I build. 1- Google Drive: When a new file is uploaded to the Google Drive, it fetches it. 2- Loop Node: Batch size 1 - rebrand one file at a time. 3- Google Drive Download: Download the new file. 4- Extract from PDF: Extract PDF data to JSON. 5- Code Node: Parse the data to make it ready for AI model processing. 6- LLM Message model: Here, I have used the Gemini. In the user prompt, full data is structured. The format of date, phone number (E.164). In the system prompt, define the Role - Rule - Input - Output - Solution for my desired output. 7 - Code Node: Through the Code Node, convert the input string format. 8 - Code Node: Put your invoice in HTML format. With the previous JSON data that generated the ticket contents. 9 - HTTP Node: Here, I use Pdfshift. io to generate the PDF/ticket PDF / my invoice. 10 - Google Drive Upload - Upload the converted file to another folder in Google Drive. and connect the node at the beginning of the loop node. Extension: Loop node - from the Done handle, it could be sent to Gmail/slack/what's app. Outcome: Before he needs to copy the information one by one Put in the different fields of the clients pdf and print it. Now, it takes less than 60 seconds per ticket. ✌️ NB: How much should I charge for this? Let me know in the comments 😀

Most AI tutorials are made by developers, for developers. They skip steps. They throw around jargon. They assume you already know things you don't. You watch video after video and somehow end up more confused than when you started. That's not a you problem. That's a teaching problem. I made something that fixes it: -> For beginners who don't know where to start PS: If you’re already an AIS+ member, we will be rolling this out to you for free shortly. No need to buy it.

The year started strong inside AIS+. From first-ever builds to scalable systems and real client momentum, members kept showing what consistent action looks like 👇 Here are this week’s highlights inside AIS+ 👇 👉 @Waliullah Murad built a scalable AI-powered UGC video system - native, human-feel ads without scripts or heavy production. 👉 @Zhaoqi Ai completed his first complex async n8n workflow in just 17 days - learning fast by building through friction. 👉 Malek Kilani shared a repeatable AI system framework (plus his Warren Buffett GPT) to stop restarting from scratch every time. 👉 @Daniel Flowers launched his very first n8n workflow - a simple win that unlocked real confidence. 👉 @Serge Petryk officially completed the full 10 Hours to 10 Seconds course - Phase 7 done, foundations locked. 👉 Sai Santosh Kumar D shared how he scaled to 178K+ IG and 80K+ YouTube followers in under a year using AI content systems. 🎥 Super Win Spotlight of the Week: @Maciej Wesolowski | $8,500 in AI Contracts Maciej recently signed two AI RAG agent contracts - one for $3,300 and another for $5,200 - embedding AI directly into client websites. He’s also partnering with an AI + SEO agency, sharpening his skills by working with real clients and paying his “skill debt” the right way. 🎥 Watch his quick story Maciej’s journey is a reminder that real growth comes from building, shipping, and learning with clients - not waiting to feel “ready.” ✨ Want to see wins like this every week? Join AI Automation Society Plus and start turning learning into real builds, real clients, and real momentum 🚀

Want to make money with AI? Stop trying to build it. Learn how to sell solutions Right now, thousands of people are stuck on the wrong question: “Should I learn Python?” “Should I build my own AI model?” “Do I need to be technical to work with AI?” Here’s the truth nobody says clearly enough: Businesses don’t pay for AI. They pay for outcomes. No client wakes up thinking, “I want a custom neural network today. ”They wake up thinking,“I’m losing leads.” “My team wastes time.”“My support is slow.” AI is just the tool. The solution is what gets paid. Here’s how the game actually works: 1️⃣ AI builders aren’t the shortage. AI sellers are. Building AI models is hard, expensive, and slow. Selling AI solutions is about understanding workflows, bottlenecks, and ROI. If you can explain how AI saves time or money,you’re already more valuable than someone who just “knows the tech.” 2️⃣ You don’t need to invent. You need to integrate. Most winning AI businesses don’t create new models.They connect existing tools into practical systems. Chatbots. Voice agents. Automations. Follow-ups.Data routing. Simple systems. Real impact. 3️⃣ Clients buy clarity, not complexity. The moment you start talking about LLMs, tokens, or architectures,you lose the room. But say this instead: "This will handle 80% of your customer queries automatically.” “This saves your staff 15 hours a week.” Now you have attention—and trust. 4️⃣ The money is in implementation. AI tools change fast. Business problems don’t. If you can map a business problem → AI-powered workflow → measurable result, You’re not “in AI." You’re in demand. You don’t need to be technical. You need to be useful. The future won’t belong to people who build the smartest AI. It will belong to people who help others use AI profitably.