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103 contributions to AI Automation Society
🚀New Video: How I'd Make Money with AI in 2026 (if I had to Start Over)
In this video I'm going to be teaching you how I'd make money with AI in 2026, if I had to start over from scratch. This will be the most actionable video you've ever seen about making money with AI. I'll breakdown everything, and fitting it all into this easy to learn 24 minute guide. Hope you enjoy!
3 likes • Dec '25
love it
1 like • 12d
@Muskan Ahlawat does it ring true for you,, whats your opinion on it, seems like youve been around a bit regarding getting customer and having successful flows
Healthcare IT Consultant Turned My Free Template Into $720/Month 🔥
Added 2 nodes to community template. Posted as free download. Healthcare IT consultant DM'd: "Can I deploy this to my clinic clients commercially?" He deployed to 6 clinics. I get paid for all of them. $720/month recurring. THE B2B2C DISCOVERY: Built patient intake form automation. Posted to n8n community forum. Expected: Maybe some GitHub stars and feedback. Got: Message from consultant serving 15 healthcare clinics. "This is exactly what my clients need. Can I use it commercially?" THE DEAL STRUCTURE: He becomes authorized reseller: - Deploys my template to his clinic clients - Handles all client customization (forms, fields, branding) - Manages client relationships and support - I provide template updates and technical escalation support THE ECONOMICS: My pricing to consultant: - $600 setup per clinic - $120/month per clinic His pricing to clinics: - $1,800 setup per clinic - $300/month per clinic His margin: - $1,200 per clinic setup - $180/month per clinic ongoing EVERYONE WINS: - Clinics: Get automation they desperately need - Consultant: New revenue stream from existing clients (no acquisition cost) - Me: Scale without sales effort or client management CURRENT NUMBERS: - Clinics deployed: 6 (3 more in pipeline) - My monthly recurring: $720 - Setup revenue collected: $3,600 - My time after initial template: 4 hours total - His total client base: 15 clinics THE MULTIPLIER MATH: If half his clinics deploy (7-8 clinics): - My monthly recurring: $960-$1,080 - From ONE consultant relationship And he's already referring other healthcare IT consultants in his network. HOW TO FIND MULTIPLIER PARTNERS: Look for consultants who: - Serve 10+ similar clients (healthcare IT, accounting tech, legal tech) - Have relationships but lack automation expertise - Want new revenue streams from existing clients You have automation. They have distribution. WHAT MAKES TEMPLATES REUSABLE: Good B2B2C templates: - Solve common problem across industry (patient intake, invoice processing)
3 likes • 14d
this is such an underrated angle. most people try to sell direct and miss the leverage sitting right next to them. consultants already have trust + access, templates give them speed. feels obvious once you see it… but most never do. smart move
AI Categorized 2,400 Expenses Last Quarter - Zero Manual Sorting (8 Nodes) 🔥
Finance team categorizing expenses manually. Every receipt. Every transaction. Someone reads merchant name. Decides category. Types it in. Built 8-node workflow. 2,400 expenses last quarter. Zero manual sorting. AI handles categorization. THE CATEGORIZATION NIGHTMARE: Is Uber travel or transportation? Is that Amazon purchase office supplies or equipment? Starbucks - meals or client entertainment? Every person categorizes differently. Audit comes. Categories inconsistent. Explanation needed for every decision. THE DISCOVERY: Document extraction returns category as enum. AI picks from predefined list. Same logic every time. But AI isn't perfect. Added merchant keyword fallback. Uber always maps to Travel. Starbucks always maps to Meals. Consistency wins. THE WORKFLOW: Google Drive trigger watches receipts folder → Download expense document → Document extraction pulls merchant, amount, date, category → Code processes and applies keyword fallback → Sheets logs to expense tracker → IF checks threshold → Over $500 triggers Slack approval → Under $500 confirms logged. 8 nodes. Categorization automated. THE SMART CATEGORIZATION: JSON Schema includes category enum: Travel, Meals, Office Supplies, Software, Equipment, Marketing, Professional Services, Utilities, Other. AI picks best match. Code validates against merchant keywords. Known merchants get consistent categories regardless of AI interpretation. THE APPROVAL ROUTING: Threshold-based logic. Anything over $500 requires manager approval. Slack notification with full details. Everything else auto-logged. No more $3,000 "office supplies" purchases slipping through. Manager sees it immediately. THE TRANSFORMATION: Before: 15 minutes per expense report reviewing categories. Arguments about what counts as what. Inconsistent across team. After: Zero time categorizing. Consistent logic. Manager only reviews high-value items. THE NUMBERS: 2,400 expenses processed last quarter 9 category types automated $500 approval threshold
AI Categorized 2,400 Expenses Last Quarter - Zero Manual Sorting (8 Nodes) 🔥
1 like • 15d
this is a great example of where consistency matters more than “smartness.” removing subjective decisions and baking in simple rules is what makes finance teams actually trust automatiOn
Funeral Homes Pay Me $2,000/Month - Zero Competition 🔥
"Nobody wants to touch this industry." That's exactly why there's zero competition and approved budgets waiting. Met funeral director at coffee shop. He mentioned they still fax permits in 2024. Built permit automation. Deployed to 3 funeral home locations. $1,200 monthly recurring. THE FUNERAL HOME DOCUMENT BURDEN: Every funeral requires 12-18 permits: - Death certificates (state and county) - Burial permits - Transportation authorizations - Cremation permits (if applicable) - Insurance claim forms - VA paperwork (for veterans) Manual processing per funeral: 3-4 hours Average cases monthly: 40 Monthly time waste: 120-160 hours THE 6-NODE WORKFLOW: 1. New case entered in funeral management software 2. Trigger automation based on service type 3. Auto-generate all required permit applications 4. Pre-fill from case data (deceased info, family details) 5. Route to correct state/county agencies 6. Track submission status and completion 7. Alert on missing signatures or info 8. Archive completed permits by case THE PITCH THAT CLOSED: Setup: $3,500 one-time Monthly: $400 per location Their math: - 40 cases monthly - 3 hours saved per case - 120 hours recovered - Staff cost: $35/hour - Monthly waste: $4,200 - My fee: $400 - Net savings: $3,800/month ROI: First month. WHY FUNERAL HOMES ARE GOLDMINES: - Operational budgets already approved (not discretionary spending) - Technology is 20 years behind - Staff doing manual work they hate - Compliance requirements are strict - Mistakes are unacceptable (grieving families) - Zero automation vendors competing CURRENT OPERATION: - Locations: 3 - Documents processed monthly: 1,596 - Monthly recurring: $1,200 - Setup revenue: $10,500 - Referrals waiting: 2 more locations THE BORING INDUSTRY FORMULA: 1. Find industry everyone ignores 2. Identify paper-heavy regulatory process 3. Confirm operational budgets exist 4. Build simple automation 5. Become the only vendor INDUSTRIES NOBODY WANTS: - Waste management permits
1 like • 15d
this is such a smart angle. everyone chases sexy markets and skips the places with real budgets and zero competition. fixing unglamorous, regulated work is where automation actually gets paid
Bank Statement Analyzer Found $1,200 in Forgotten Subscriptions (6 Nodes) 🔥
Downloaded bank statement PDF. 847 transactions. Somewhere in there: subscriptions I forgot about. Built 6-node analyzer. Found $1,200 annually in subscriptions I didn't use. Three services I'd forgotten existed. THE SUBSCRIPTION CREEP: $12/month here. $29/month there. Free trial converts. Card gets charged. You forget. Annual cost adds up. Nobody tracks it. Bank sends PDF statement. 50 pages. Who reads that? THE DISCOVERY: Document extraction pulls every transaction with category. Code analyzes spending patterns. Groups by category. Flags subscriptions. Six nodes. Complete spending analysis from PDF to Slack report. THE WORKFLOW: Gmail trigger catches statement email → Get attachment → Document extraction pulls all transactions with amounts and categories → Code analyzes spending by category → Sheets logs monthly summary → Slack sends analysis report. THE ANALYSIS LOGIC: Code calculates: - Total by category (Income, Subscriptions, Dining, Shopping, etc.) - Savings rate percentage - Large transactions over $500 - Monthly comparison trends Slack report shows spending breakdown. Where money actually goes. Not where you think it goes. THE SUBSCRIPTION DETECTION: Recurring amounts same day each month = subscription. Code flags them. Lists them separately. You decide which ones you actually use. Found three I forgot about: Old project management tool ($29/month), unused design software ($15/month), podcast hosting I discontinued ($19/month). THE TRANSFORMATION: Before: Bank statement arrives. File it. Never look at it. Surprised by balance. After: Automatic analysis. Spending patterns visible. Subscriptions surfaced. Decisions made with data. THE NUMBERS: 847 transactions analyzed 12 categories tracked $1,200 annual subscriptions found 3 forgotten services cancelled Savings rate calculated automatically Template in n8n and All templates workflows in Github
Bank Statement Analyzer Found $1,200 in Forgotten Subscriptions (6 Nodes) 🔥
2 likes • 15d
this is one of those “simple but powerful” workflows. most people don’t overspend intentionally, they just never see the pattern. turning a boring PDF into something actionable like this is where automation actually pays for itself 🔥 Love your work man
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Rudolf Van Loggerenberg
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@rudolf-van-loggerenberg-3547
Electrician | Business Owner | AI Automation lover, helping entrepreneurs to learn AI and Business Owners to take their time Back.

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Joined May 14, 2025
New Zealand, Tauranga
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