Skip to content
Sign in
Artwork for The Value Engine
TechnologyBusinessScience

The Value Engine

Nico Hartwell

Most business leaders are burning cash on AI tools that deliver zero ROI. They buy the hype, implement random automation, and wonder why their bottom line isn't moving. Meanwhile, a small group of companies are quietly using AI to cut costs by 40% and boost productivity by 200%.

Nico Hartwell spent years building machine learning models for healthcare startups before launching his own AI consultancy. He's seen what works and what's just expensive theater. On The Value Engine, he breaks down exactly how real companies are using artificial intelligence to generate measurable returns.

Each episode focuses on one specific AI implementation with actual numbers. You'll hear about the warehouse that cut labor costs by $2 million, the marketing team that automated 80% of their workflows, and the consultant who 10x'd her client capacity using custom AI tools. Nico explains the tech without the jargon and shows you the spreadsheets that prove ROI.

No theoretical discussions or vendor pitches. Just real automation strategies that pay for themselves within 90 days. If you're tired of AI promises and want proven playbooks, this is your show.

Follow now for multiple new episodes daily.

Play
Open in
  • 177 episodes
  • Avg 14 min
  • English

Episodes 177

NewestOldestLongest
All20Unplayed20In progress0Played0
Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.
  • Thursday · 15 min

    Why 90% of HARO Pitches Fail (And the AI System That Fixes Everything)

    What if I told you that 90% of people trying to get media coverage are doing it completely backwards? While everyone's paying thousands for PR agencies, smart entrepreneurs are getting featured in Forbes, Entrepreneur, and TechCrunch for free. In this episode, Nico Hartwell breaks down the automated system that turns journalist requests into high-value backlinks worth $500-2000 each. 🎯 What You'll Learn: • Why HARO sends 150+ journalist requests daily but most responses never get read • The Make.com automation that filters through 1000+ emails per month on the free plan • How one backlink from a major publication can boost your SEO more than 6 months of content marketing • The AI prompt formula that makes journalists actually want to quote you 👤 Perfect for: Business owners and marketers tired of expensive PR agencies who want measurable media coverage that actually drives traffic. 📍 Chapters: [00:00] Why 90% of HARO pitches get ignored immediately [02:15] The $2000 value of one Forbes backlink vs paid advertising [04:30] Setting up Make.com to auto-filter journalist requests by keyword [06:45] The AI response template that gets 3x more replies [08:30] Real examples of successful pitches that landed major coverage [10:15] Scaling this to 50+ media mentions per month 🔔 Never miss an episode: Follow The Value Engine on Spotify and Apple Podcasts. New episodes drop daily with specific AI systems that deliver measurable ROI. Tomorrow we're covering the customer service bot that cut support costs by 60%. 🔍 Topics: HARO automation, AI content creation, Make.com workflows, media outreach, PR automation, journalist outreach, SEO backlinks, automated marketing More episodes available at The Value Engine -------- Keywords: business process automation, ai roi, ai productivity Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Thursday · 14 min

    I Wasted 847 Operations on Make.com. Here's What I Learned.

    Ever burned through 847 operations on a single Make.com workflow and wondered where you went wrong? Nico Hartwell did exactly that, and the lessons he learned could save you hundreds of dollars and countless headaches. In this episode, he breaks down the hidden mechanics of iterators and aggregators that most automation builders completely misunderstand. 🎯 What You'll Learn: • Why that innocent-looking array with 100 items just cost you 100 operations (and how to spot this trap before it hits) • The sneaky truth about Google Sheets modules that already include iterator functionality, so you don't accidentally double-process your data • How to use aggregators like SUM and AVERAGE to turn scattered bundles back into single, actionable results • The iterator → processing → aggregator pattern that Make.com built into their most popular modules 👤 Perfect for: anyone using Make.com who's tired of watching their operation count explode without understanding why, especially if you're working with spreadsheets or processing lists of data. 📍 Chapters: [00:00] Nico's 847-operation disaster story [01:30] What iterators actually do to your data bundles [04:00] Why Google Sheets modules are secretly iterators [07:00] Aggregators: turning chaos back into order [10:00] The built-in iterator pattern you're probably missing [12:00] Three rules to avoid operation overruns The difference between a $50 automation and a $500 mistake often comes down to understanding these two concepts. Nico walks through real examples, shows you the operation counts, and explains exactly when to use each approach. 🔔 Never miss an episode: Follow The Value Engine on Spotify or Apple Podcasts and turn on notifications. New episodes drop daily, your next automation breakthrough is one tap away. 🔍 Topics: Make.com automation, workflow optimization, iterator modules, aggregator functions, operation cost management More episodes available at The Value Engine -------------- Keywords: automation agency, business ai, automation mistakes, ai roi Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Thursday · 18 min

    Make.com + Slack: The Free Order System Nobody's Talking About

    Most businesses throw thousands at order management software when they already have the perfect platform sitting in their Slack workspace. Make.com just hit 8 billion operations per month with 400,000+ users automating everything from lead capture to inventory tracking. The real opportunity? Turning Slack into your command center for order processing without touching your budget for new tools. Here's what most teams miss: 77% of Fortune 100 companies use Slack, but they're barely scratching the surface. While you're manually copying order details between systems, smart operators are building entire workflows that handle everything from customer requests to fulfillment tracking. In This Episode: > How Make.com connects Slack to your existing tools (no coding required) > Building automated order forms that customers can submit directly in Slack > Setting up approval workflows that route orders to the right team members > Creating real-time inventory updates that prevent overselling > Why this beats expensive order management platforms for most small businesses The numbers are clear: companies automating their order management see 25% faster processing and 40% fewer errors. When the average business uses 87 different software tools but only 29% talk to each other, integration becomes your biggest competitive advantage. Nico walks through the entire build process, showing exactly how to set up each automation step. No theoretical frameworks or vendor pitches, just a working system you can implement today. Timestamps: 00:00 Why Slack beats dedicated order management tools 02:30 Setting up your Make.com account and first automation 04:15 Building the Slack order form interface 06:45 Creating approval workflows and notifications 09:20 Adding inventory tracking and customer updates 11:10 Testing and troubleshooting common issues Follow The Value Engine for daily episodes on AI automation that actually moves your bottom line. Next episode: building a customer support bot that handles 80% of common questions. More episodes available at The Value Engine ------ Keywords: process optimization, make.com, automation agency, ai productivity Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Thursday · 15 min

    Stop Manual Data Collection. Apify + Make Changed Everything.

    Manual data collection is killing your productivity. While you're copying and pasting information for hours, smart businesses are pulling thousands of data points automatically using Apify and Make.com. Nico breaks down the exact system he uses to scrape data from any website without touching a single spreadsheet. We're talking LinkedIn profiles, competitor pricing, market research, customer data - all flowing into your systems while you sleep. This isn't theoretical automation. It's the specific two-tool stack that processes millions of operations monthly. Here's what makes this combination so powerful: Apify has over 1,500 pre-built actors that can scrape major platforms. Make.com connects to thousands of apps and handles the data processing. Together, they can run scraping tasks automatically, pulling 1,000-10,000 data points for under $5. That's cheaper than paying someone minimum wage for an hour. In This Episode: > Why most web scraping tools fail at scale > How to use Apify actors without writing code > Setting up Make.com workflows that run automatically > Real examples: scraping competitor pricing, lead data, and market research > Cost breakdown: what 100,000 scraped data points actually costs Timestamps: 00:00 Introduction to automated data collection 02:30 Apify platform walkthrough 05:15 Make.com integration setup 08:45 Live scraping demonstration 11:20 Pricing and ROI calculations This system handles the data collection grunt work so you can focus on analysis and decision-making. Stop wasting hours on manual tasks that a $20/month tool stack can eliminate. 🚀 Follow The Value Engine for daily AI automation strategies that actually save money. Nico drops new episodes showing real implementations with actual ROI numbers. More episodes available at The Value Engine --------- Keywords: automation tools, ai tools, automation roi, automation strategies, business automation, ai productivity, zapier alternatives Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Thursday · 15 min

    Why Top Agencies Quit Using Cold Email (Their New Weapon)

    Cold email is dead. At least that's what the most successful automation agencies figured out last year when their open rates tanked to 2%. So what replaced it? A completely different approach that's pulling in 40% more qualified leads with zero spam folder issues. The switch isn't just working, it's reshaping how agencies think about client acquisition entirely. The numbers tell the story. Agencies using this new method are closing deals 3x faster than traditional cold outreach. Their average project values jumped from $5,000 to $18,000. And here's the kicker: they're spending 60% less time on prospecting. Nico breaks down the exact framework these agencies discovered, including the specific tools they're using and why this approach works so much better than email blasts. You'll see the real data from agencies making this transition and what it means for anyone building an automation business. In This Episode: > Why cold email response rates collapsed in 2024 > The 4-step system that replaced traditional outreach > How to identify high-value prospects using automation tools > The psychological triggers that get clients to reach out first > Real conversion numbers from agencies using this method This isn't theory. These are the actual playbooks from agencies billing $50K+ per month. Nico walks through each step with specific examples and shows you the metrics that prove ROI. Timestamps: 00:00 Why cold email stopped working 02:30 The new client acquisition framework 05:15 Tool stack breakdown and costs 08:20 Real agency case studies 11:45 Implementation timeline If you're building an automation agency or thinking about it, this episode could save you months of wasted effort. Follow The Value Engine for daily breakdowns of what's actually working in AI business right now. More episodes available at The Value Engine -------- Keywords: ai consulting, automation strategies, workflow automation Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Thursday · 17 min

    The AI Resume Trick Costing Job Seekers Interviews

    What if the AI resume trick everyone's raving about is actually killing your chances of landing interviews? Job seekers are flooding job boards with AI-generated applications, thinking automation gives them an edge. But here's what's really happening: companies are getting smarter about filtering out generic, bot-created resumes. The result? Your perfectly crafted AI resume might be getting tossed before a human ever sees it. Nico Hartwell breaks down the real numbers behind automated job applications and shows you what's working versus what's backfiring. You'll see exactly how tools like LazyApply and JobCopilot promise to send hundreds of applications per day, but why that volume approach might be costing you the interviews you actually want. In This Episode: > Why ATS systems now flag AI-generated content and how to avoid detection > The specific prompts that create resumes humans actually want to read > Real data on application-to-interview ratios for automated vs manual applications > Cost breakdown: when $299/month automation tools actually pay for themselves Nico walks through a live demo, showing how he built a custom Indeed scraper that tailors applications without triggering spam filters. You'll learn which parts of the process to automate and which require the human touch. Plus, the three resume mistakes that instantly reveal AI authorship to hiring managers. Timestamps: 00:00 The automation trap most job seekers fall into 02:15 ATS systems vs AI content: what's really happening 04:30 Live demo: building a smarter application bot 07:45 The three resume red flags that scream "AI wrote this" 09:20 Manual vs automated: actual success rate data 11:10 When to use AI tools and when to go human Ready to automate smarter, not harder? Follow The Value Engine for daily breakdowns of AI tools that actually move the needle. More episodes available at The Value Engine ------------ Keywords: ai workflows, ai automation, workflow automation, ai productivity, ai tools, automation mistakes, ai transformation Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Thursday · 10 min

    Watch Me Build A Social Media Tracker In 30 Mins (+ Community)

    What if you could build a social media tracker in just 30 minutes? Sounds impossible, right? Well, Nico Hartwell is here to show you it’s not only doable but also a game-changer for your productivity. Social media managers typically waste 3-4 hours daily jumping between platforms to gather data. That’s a lot of time that could be spent on strategy instead. In this episode of The Value Engine, you’ll see a live build of a social media tracking system that cuts through the chaos. Here’s what’s coming up: > You’ll watch Nico code an efficient tracker from scratch. > He’ll explain how this project can boost your skills and open new career doors. > Plus, you'll discover the power of building in public, a method that's gaining traction among developers. Timestamps: 00:00 Introduction 01:15 Why social media tracking matters 03:30 Coding the tracker live 06:45 Benefits of public projects 09:20 Wrap-up and next steps Join the growing community of listeners who are transforming their AI strategies. If you’re tired of wasting time on tools that don’t deliver, hit follow on The Value Engine for daily insights. Next episode, we’ll tackle another real-world application of AI that could save you thousands. Don’t miss it! More episodes available at The Value Engine Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Thursday · 14 min

    The $12K Mistake: AI SEO Parasites on High-Authority Platforms

    Picture this: a marketer spent $12,000 on an "AI SEO course" that promised first-page Google rankings in 30 days. The course taught one strategy: publishing AI-generated articles on Medium. The results? Zero traffic, zero conversions, and one very expensive lesson. But here's what the course didn't teach: Medium's domain authority of 96 makes it one of Google's most trusted sites. A single optimized Medium article can pull 10,000+ monthly views without paid ads. The difference between success and that $12K failure? Knowing exactly which keywords to target and how to structure content that Medium's algorithm actually promotes. Most marketers are pumping out generic AI content that gets buried. Meanwhile, smart operators are using specific AI prompts to create articles that rank on Google's first page within 48 hours. In This Episode: > Why Medium's 96 domain authority beats most company websites > The exact AI prompt structure that generates rankable content in 2 minutes > How to find keywords that Medium articles actually rank for > Real traffic numbers from live Medium experiments > The automation workflow that scales this to 100+ articles per month You'll see Nico build a complete AI parasite SEO system from scratch, including the specific ChatGPT prompts, keyword research tools, and publishing schedule that turns Medium into a traffic-generating machine. Timestamps: 00:00 The $12K Medium mistake breakdown 02:30 Why domain authority matters for AI content 04:45 Live AI article creation using specific prompts 07:15 Keyword research that actually works on Medium 09:30 Automation tools and scaling strategies 11:45 Real traffic results and ROI calculations Ready to build AI systems that actually generate measurable returns? Follow The Value Engine for daily episodes that show you exactly how it's done. More episodes available at The Value Engine ----- Keywords: ai implementation, machine learning business, ai workflows, automation tools, zapier alternatives, ai marketing, ai productivity, business ai Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Thursday · 13 min

    You're Making Videos the Hard Way (Do This Instead)

    You're spending $500 per video when you could be making the same content for $5. While most creators are stuck in Premiere Pro for hours, smart marketers are using Bannerbear to pump out hundreds of personalized videos automatically. Nico breaks down exactly how a simple Google Sheets setup can generate over 1,000 video variations per hour. No coding required. No expensive agencies. Just a $49/month tool that most people have never heard of. This isn't about replacing human creativity. It's about automating the repetitive stuff so you can focus on strategy. One e-commerce brand used this exact system to create 500 product videos in a single afternoon. Another consultant automated their entire client onboarding video sequence and saved 20 hours per week. In This Episode: > How Bannerbear's API connects to Google Sheets for zero-touch video production > The exact template setup that generates videos with dynamic text, images, and QR codes > Real case study: 95% time reduction in video content creation > Why Zapier makes this accessible to non-technical marketers The best part? You can start testing this today with their free tier. Nico walks through the entire setup process and shows you the Google Sheets formula that triggers everything. Timestamps: 00:00 The $10k video problem 02:15 Bannerbear walkthrough and setup 04:30 Google Sheets integration tutorial 07:45 Advanced features: charts and QR codes 09:20 Real ROI numbers and case studies 11:10 Getting started checklist If you're tired of manual video creation eating your time and budget, this episode will change how you think about content production. Follow The Value Engine for daily AI automation strategies that actually move the needle. More episodes available at The Value Engine ----- Keywords: automation agency, automation consulting, ai marketing Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Thursday · 15 min

    The Onboarding Mistake Costing You 40 Hours Monthly

    Your new hire's first week doesn't have to cost you 40 hours of admin work. Most teams still create Trello boards manually, assign permissions by hand, and watch productivity crawl while everyone figures out the workflow. Meanwhile, companies like Buffer and Hootsuite are spinning up complete project environments in under 5 minutes using automated onboarding systems. The math is pretty stark. A typical company spends 3-5 hours per new employee just setting up basic administrative access. Multiply that by your headcount growth and you're looking at serious productivity drain. But here's what most managers miss: Trello's API handles over 50 million automation requests daily, and 80% of that setup work can disappear with the right system. In This Episode: > How to build a 25-minute Trello automation that eliminates manual board creation > The specific API calls that copy templates, assign permissions, and populate cards automatically > Why Zapier integration beats custom coding for most small teams (and when it doesn't) > Real numbers from three companies that cut onboarding admin by 75% This isn't about fancy AI or complex workflows. It's about using tools that already exist to stop wasting time on repetitive tasks. Nico breaks down the exact automation setup that took his last client from 8 hours of Trello prep per new hire to completely hands-off onboarding. Timestamps: 00:00 The hidden cost of manual onboarding 02:30 Trello API basics and authentication setup 05:15 Template copying and permission automation 07:45 Integration options: Zapier vs custom scripts 10:20 Three real implementation case studies If you're tired of spending your week on admin tasks that could run themselves, hit follow. The Value Engine drops new automation breakdowns every day. More episodes available at The Value Engine -------------- Keywords: make.com, ai revenue, ai productivity, ai entrepreneurship, zapier alternatives, ai implementation Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Thursday · 14 min

    Why Content Teams Are Hemorrhaging $144K Yearly on WordPress

    Most WordPress site owners are bleeding money on a task they don't even realize is draining their budgets. Content teams manually publishing across multiple sites waste about 20 hours monthly at $72/hour - that's $1,440 per month or $17,280 yearly just in labor costs. Add the missed opportunities from inconsistent posting schedules and you're looking at $144K in annual losses. The solution isn't hiring more content managers. It's building an automated pipeline that handles everything from content creation to multi-site distribution without human intervention. In This Episode: > How Make.com's visual workflow builder connects AI content generation to WordPress publishing > Why syndicating across 3+ sites increases engagement by 70% (and how to do it automatically) > The exact automation sequence that creates, formats, and publishes content to multiple WordPress sites > Real cost breakdown: how this system pays for itself in 3 weeks Nico walks through the complete technical setup, including API configurations, content formatting rules, and the scheduling logic that keeps your sites active 24/7. You'll see the actual Make.com workflows that process over 100 million operations monthly for businesses just like yours. Timestamps: 00:00 The hidden cost of manual WordPress management 02:30 Make.com workflow architecture overview 04:45 Connecting AI content generation to WordPress APIs 07:15 Multi-site syndication strategies that work 09:30 Cost analysis and ROI calculations 11:00 Next steps for implementation This isn't about replacing your content strategy. It's about automating the repetitive publishing tasks so your team can focus on creating better content instead of copying and pasting it everywhere. Follow The Value Engine for daily episodes on AI systems that actually generate measurable returns. Nico drops new automation playbooks every day with real numbers and proven results. More episodes available at The Value Engine ----- Keywords: ai revenue, ai marketing, automation success, ai automation, ai tools, automation podcast Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Thursday · 14 min

    The $500/Month Webflow Mistake 90% of Agencies Make (And the Make.com Fix)

    Your Webflow agency is bleeding $500 every month and you don't even know it. The culprit? Manual CMS updates that eat hours of billable time while your team copy-pastes content like it's 2015. Most agencies treat Webflow CMS as a manual labor trap. They hire junior developers to push content updates, then wonder why their margins suck. But smart agencies are automating this entire workflow with Make.com, cutting content management time by 80% while their competitors are still clicking through admin panels. Nico Hartwell breaks down the exact automation that's saving agencies 15+ hours per week on CMS management. You'll see how Make.com's 400 million monthly operations can handle your Webflow content pipeline without a single line of code. In This Episode: > Why Webflow's API handles 60+ content operations (and most agencies use maybe 3) > The Make.com scenario that updates CMS items in under 5 seconds > How to scale from Webflow's 10,000 item limit to unlimited content > Real agency case study: $6,000/month saved on content management Timestamps: 00:00 The $500/month Webflow drain 02:30 Make.com setup walkthrough 04:15 Webflow CMS API deep dive 07:20 Automation scenario build 09:45 Scaling beyond basic plan limits 11:30 Agency implementation roadmap This isn't theory. Nico shows you the exact Make.com templates and Webflow configurations that agencies are using right now to automate content workflows that used to require full-time staff. 🤖 Ready to stop burning cash on manual CMS work? Follow The Value Engine for daily automation breakdowns that actually move your bottom line. More episodes available at The Value Engine ------------- Keywords: automation roi, ai revenue, zapier alternatives Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Thursday · 16 min

    The $50K AI Toolkit Nobody's Talking About Yet

    Most companies blow $50K on AI subscriptions for features they could get for free. While everyone's fighting over ChatGPT seats, there's a treasure trove of specialized models sitting right under their noses. HuggingFace isn't just another AI platform. It's home to over 400,000 different models, and most of them cost nothing to use. We're talking sentiment analysis that beats GPT-4, image generation that rivals Midjourney, and text processing tools that would make your current AI stack look like a typewriter. The catch? Most people don't know how to actually use them without hiring a team of developers. That's where Make.com changes everything. Their HuggingFace integration turns you into an AI power user without writing a single line of code. You can chain together multiple models, process thousands of documents, and build custom workflows that would normally require a six-figure engineering budget. In This Episode: > Why HuggingFace models often outperform mainstream AI tools for specific tasks > How to browse and test models without any technical background > Setting up your first HuggingFace automation in Make.com (step by step) > Real examples: customer service bots, content analysis, and data processing workflows > The hidden costs most people miss and how to avoid them Nico breaks down the exact process he uses to evaluate models, showing you which ones actually deliver results and which ones are just academic experiments. You'll see live demos of workflows that process hundreds of customer emails, analyze social media sentiment, and generate product descriptions at scale. Timestamps: 00:00 Why everyone's overpaying for AI 02:15 HuggingFace explained: the model marketplace 04:30 Make.com integration walkthrough 07:45 Three workflows you can build today 10:20 Avoiding the common pitfalls Ready to cut your AI costs by 80%? Hit follow on The Value Engine for daily episodes that show you exactly how to build profitable AI systems. More episodes available at The Value Engine ------ Keywords: ai automation, business ai, no code automation, zapier alternatives, automation roi, automation consulting Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Wednesday · 14 min

    Why You're Posting 4 Times When 1 Post Does It All

    Creating four separate posts for LinkedIn, Facebook, Twitter, and Instagram is the social media equivalent of manually copying files when you could just drag and drop. Most businesses waste 6+ hours a week on this repetitive nonsense. Here's the reality: companies using smart social automation see 37% higher engagement rates. Not because they're posting more, but because they're posting smarter. The secret isn't identical cross-posts (those get ignored). It's building a system that adapts your core message for each platform's unique algorithm and audience behavior. Nico spent 30 minutes building a unified system that handles LinkedIn's professional tone, Facebook's community focus, Twitter's brevity requirements, and Instagram's visual-first approach. All from one master post. The result? Content that feels native to each platform while cutting creation time by 75%. In This Episode: > The exact AI workflow that reformats content for platform-specific optimization > Why LinkedIn posts need 200+ words while Twitter maxes at 280 characters for peak performance > How to maintain authentic voice across platforms without sounding like a robot > The scheduling automation that runs everything hands-off Timestamps: 00:00 The 4-platform posting problem 02:15 Building the master content template 05:30 Platform-specific AI adaptations 08:20 Automation setup walkthrough 11:45 Results and ROI breakdown Small businesses using this approach save 6 hours weekly on social management while seeing 67% better engagement than identical cross-posts. The math is simple: less time posting, more time building. Want systems that actually move your bottom line? Follow The Value Engine. Nico drops multiple episodes daily with automation strategies that pay for themselves within 90 days. More episodes available at The Value Engine ---- Keywords: ai tools, machine learning business, automation roi, process optimization, make.com, ai implementation, ai productivity, automation tools Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Wednesday · 12 min

    The Make.com Feature Stripe Doesn't Want You to Know About

    Most businesses lose thousands every month to slow invoice processing. Clients pay late, follow-ups get forgotten, and cash flow suffers while you chase down payments like a debt collector. Nico Hartwell just discovered how Make.com can turn Stripe into an automated billing machine that most business owners don't even know exists. This isn't about basic Stripe payments. This is about creating a system that sends invoices, tracks opens, automates follow-ups, and processes payments while you sleep. The numbers are wild: companies using automated invoicing get paid 3x faster than manual processes. Make.com handles over 100,000 operations monthly for around $9, while Stripe's invoice system hits 94% deliverability across 135+ currencies. Meanwhile, most people waste 2.5 hours per week on billing tasks that could run themselves. In This Episode: > Why Stripe's invoice API beats their standard payment flow for recurring clients > The Make.com workflow that eliminates manual payment follow-ups entirely > How to track invoice opens and automate reminder sequences based on client behavior > Real cost breakdown: what this automation actually costs vs. manual billing time Timestamps: 00:00 The hidden cost of manual invoicing 02:30 Setting up Stripe invoice automation in Make.com 05:45 Payment tracking and follow-up sequences 08:20 Advanced workflows for recurring clients 10:15 ROI calculations and next steps Nico walks through the exact setup he uses for his AI consultancy, including the workflow templates and Stripe configurations that turned his billing from a weekly headache into a set-it-and-forget-it system. Follow The Value Engine for daily AI automation strategies that actually move your bottom line. Tomorrow: the ChatGPT integration that's processing 50,000 customer service requests per month. More episodes available at The Value Engine ------------- Keywords: ai transformation, ai consulting, automation success, ai cost reduction, ai roi, process optimization, ai entrepreneurship Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Wednesday · 12 min

    The Make.com Feature Stripe Doesn't Want You to Know About

    Most businesses lose thousands every month to slow invoice processing. Clients pay late, follow-ups get forgotten, and cash flow suffers while you chase down payments like a debt collector. Nico Hartwell just discovered how Make.com can turn Stripe into an automated billing machine that most business owners don't even know exists. This isn't about basic Stripe payments. This is about creating a system that sends invoices, tracks opens, automates follow-ups, and processes payments while you sleep. The numbers are wild: companies using automated invoicing get paid 3x faster than manual processes. Make.com handles over 100,000 operations monthly for around $9, while Stripe's invoice system hits 94% deliverability across 135+ currencies. Meanwhile, most people waste 2.5 hours per week on billing tasks that could run themselves. In This Episode: > Why Stripe's invoice API beats their standard payment flow for recurring clients > The Make.com workflow that eliminates manual payment follow-ups entirely > How to track invoice opens and automate reminder sequences based on client behavior > Real cost breakdown: what this automation actually costs vs. manual billing time Timestamps: 00:00 The hidden cost of manual invoicing 02:30 Setting up Stripe invoice automation in Make.com 05:45 Payment tracking and follow-up sequences 08:20 Advanced workflows for recurring clients 10:15 ROI calculations and next steps Nico walks through the exact setup he uses for his AI consultancy, including the workflow templates and Stripe configurations that turned his billing from a weekly headache into a set-it-and-forget-it system. Follow The Value Engine for daily AI automation strategies that actually move your bottom line. Tomorrow: the ChatGPT integration that's processing 50,000 customer service requests per month. More episodes available at The Value Engine ---------- Keywords: business ai, ai revenue, business intelligence Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Wednesday · 15 min

    Why Your Make.com Automation Fails: The Scoping Truth

    Your Make.com automation just burned through your monthly operation limit in two days. Again. You thought you'd mapped out a simple customer onboarding flow, but somehow it's triggering 200 operations per new user instead of the 15 you planned. Most people blame Make.com's pricing model or assume they need a bigger plan. The real problem? They never learned how to scope automation projects properly. Without clear boundaries, what starts as a "quick email sequence" becomes a 47-step monster that connects to every tool in your tech stack. Nico Hartwell has built hundreds of Make.com automations for clients, and he's seen this pattern destroy budgets and timelines. The solution isn't more operations or complex scenarios. It's a systematic scoping process that defines exactly what your automation will do before you build a single module. In This Episode: > Why operation counting matters more than scenario complexity > The 3-question framework that prevents scope creep before it starts > How to estimate operations accurately using Make.com's pricing tiers > Real examples of projects that stayed on budget vs. ones that exploded Most automation projects fail because people start building before they finish planning. Nico breaks down his exact scoping method that keeps projects under 1,000 operations and delivers results in weeks, not months. Timestamps: 00:00 Why your automations cost 3x more than expected 02:30 The operation estimation mistake everyone makes 04:45 Nico's 3-question scoping framework 07:20 Real project breakdown: 15 operations vs. 200 09:40 Setting client expectations that stick 11:30 Next steps for your automation projects If you're building automations that actually generate ROI, follow The Value Engine. New episodes drop daily with proven strategies that pay for themselves. More episodes available at The Value Engine --------------- Keywords: ai implementation, ai roi, automation tools, automation agency, automation mistakes, zapier alternatives Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Wednesday · 14 min

    Why Stripe's Onboarding Works (And How to Copy It)

    Most developers think Stripe's seamless onboarding just happens. It doesn't. They've built one of the most sophisticated API discovery systems in tech, and you can copy their exact approach. Here's what most people miss: companies like Stripe, Notion, and Linear expose hundreds of hidden endpoints that aren't in their public documentation. These APIs power everything from user authentication to complex workflow automation. While everyone else is stuck with basic integrations, smart developers are building custom onboarding systems that convert 60% faster. Nico Hartwell reverse-engineered Stripe's onboarding flow and found 47 undocumented API calls that handle everything from KYC verification to automated payout setup. The result? A client onboarding system that cuts manual work from 3 weeks to 3 days. In This Episode: > How to use browser dev tools to map any application's API structure > The specific endpoints Stripe uses for instant account verification > Building automated workflows that trigger based on user actions > Why most developers are leaving 80% of available functionality on the table You'll walk away with a complete framework for discovering hidden APIs and building onboarding systems that actually work. No more waiting weeks for clients to get set up. Timestamps: 00:00 Introduction: The Stripe onboarding mystery 02:15 Finding hidden APIs using developer tools 04:30 Mapping Stripe's verification endpoints 06:45 Building automated workflow triggers 08:20 Testing and deployment strategies 10:30 Next steps and resources If you're building client systems and want to cut onboarding time by 70%, hit follow. The Value Engine drops new episodes daily with specific automation strategies that generate measurable returns. More episodes available at The Value Engine ------ Keywords: ai entrepreneurship, ai consulting, ai productivity, ai workflows Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Wednesday · 13 min

    Stop Losing Shuttle Bookings to Broken CRM Systems

    Your shuttle service is hemorrhaging bookings because customers can't reach you, drivers don't know their routes, and half your inquiries disappear into email chaos. Sound familiar? Most small transportation companies lose 20% of potential revenue to broken systems they could fix in an afternoon. Nico Hartwell walks through building a complete Monday.com CRM for shuttle services that actually works. You'll watch him set up customer tracking, route management, and automated follow-ups that prevent bookings from falling through cracks. Here's what makes this different: Monday.com already serves 180,000+ customers across transportation and logistics, so they've seen what works. Their shuttle template handles everything from initial inquiry to driver dispatch, and companies using basic CRM see 25% better customer retention within six months. In This Episode: > Setting up customer inquiry boards that capture every lead > Building route management systems with real-time driver updates > Creating automated workflows that follow up on quotes within 24 hours > Connecting payment tracking so you know exactly where money flows Timestamps: 00:00 Why shuttle services fail at customer management 02:30 Monday.com shuttle template walkthrough 05:45 Setting up inquiry capture and lead scoring 08:15 Route planning and driver assignment automation 10:20 Payment tracking and follow-up sequences The numbers don't lie: shuttle companies with proper CRM systems book 25% more repeat customers and reduce no-shows by 40%. This isn't about fancy tech, it's about not losing money to disorganization. Follow The Value Engine for daily breakdowns of AI tools that actually move your bottom line. Nico drops new episodes showing exactly how real companies use automation to cut costs and boost revenue. More episodes available at The Value Engine ------------ Keywords: automation mistakes, business process automation, automation strategies Learn more about your ad choices. Visit megaphone.fm/adchoices

  • Wednesday · 13 min

    Stop Losing Shuttle Bookings to Broken CRM Systems

    Your shuttle service is hemorrhaging bookings because customers can't reach you, drivers don't know their routes, and half your inquiries disappear into email chaos. Sound familiar? Most small transportation companies lose 20% of potential revenue to broken systems they could fix in an afternoon. Nico Hartwell walks through building a complete Monday.com CRM for shuttle services that actually works. You'll watch him set up customer tracking, route management, and automated follow-ups that prevent bookings from falling through cracks. Here's what makes this different: Monday.com already serves 180,000+ customers across transportation and logistics, so they've seen what works. Their shuttle template handles everything from initial inquiry to driver dispatch, and companies using basic CRM see 25% better customer retention within six months. In This Episode: > Setting up customer inquiry boards that capture every lead > Building route management systems with real-time driver updates > Creating automated workflows that follow up on quotes within 24 hours > Connecting payment tracking so you know exactly where money flows Timestamps: 00:00 Why shuttle services fail at customer management 02:30 Monday.com shuttle template walkthrough 05:45 Setting up inquiry capture and lead scoring 08:15 Route planning and driver assignment automation 10:20 Payment tracking and follow-up sequences The numbers don't lie: shuttle companies with proper CRM systems book 25% more repeat customers and reduce no-shows by 40%. This isn't about fancy tech, it's about not losing money to disorganization. Follow The Value Engine for daily breakdowns of AI tools that actually move your bottom line. Nico drops new episodes showing exactly how real companies use automation to cut costs and boost revenue. More episodes available at The Value Engine ------------- Keywords: make.com, automation strategies, ai cost reduction, ai automation, no code automation, automation tools, automation roi, ai tools Learn more about your ad choices. Visit megaphone.fm/adchoices

Showing 81–100 of 177 episodes