The author argues that while most AI agencies focus on top-of-funnel automation like chatbots and lead gen, the real opportunity lies in automating invoice collections—a painful, emotionally taxing task that businesses avoid, with huge potential for revenue recovery.
It has been my job to build MVPs and automations for founders for a while now and here is a pattern I just can’t unsee. Every single AI service being sold right now is top of funnel. We have AI chatbots, AI content, AI lead gen, AI SDRs. Literally everyone wants to automate getting MORE customers. But almost no one is automating the other end…. collecting money the business already EARNED and the data says that’s exactly where businesses are quietly dying. QuickBooks did a late payments report on small businesses. 56% of them are owed money from unpaid invoices right now. The average amount is almost 17,500 bucks per business. Almost half of these businesses have invoices that are overdue by 30 days or more. Late or unpaid invoices are the reason for up to a quarter of business bankruptcies. Think about that. These businesses did the work. They sent out the invoice. The revenue exists on paper. But they died anyway because the cash never showed up. Now here is the part that makes this a perfect automation and it is not the part you would guess. Well according to the stats 60% of the founders avoid chasing delinquent bills because they don’t want to damage the relationship. Read that again. The money is sitting right there. They know its sitting there but they won’t go get it because asking feels AWKWARD. I have talked about the value equation in my earlier posts…. the effort and sacrifice side of it is usually measured in hours. That is not the case here. Chasing invoices takes maybe 20 minutes a week and the cost isn’t time. It’s the emotional tax of being the guy who asks his own client for money 3 times. That’s what people are actually avoiding. And that is EXACTLY the kind of cost software destroys completely…. because the robot doesn’t feel awkward. The robot doesn’t worry about the relationship. The robot sends the polite reminder on day 3, the firmer one on day 14, the final notice on day 30, every single time, and never loses a minute of sleep. You are not selling time savings. You are selling the removal of a conversation the owner has been dreading for months. That is the real product. Why this can’t this be duct taped together in Zapier on a Saturday…. and why that’s good news if you build things. A real collections automation needs the accounting system connected (such as QuickBooks or Xero), payment links generated per invoice, tone escalation logic so the messages get firmer without getting nasty, multi channel sequencing across email and SMS, handling for disputes and partial payments, and…. this is the Money Models tie in…. automatic payment plan downsells. Because Hormozi is right that a payment plan turns a "can’t pay" into money you actually collect. Someone who cannot pay 5 grand today can very often pay 1,250 a month for 4 months. An automation that offers that split automatically, on the right invoice at the right moment, recovers cash a human would have written off entirely. That’s 5 or 6 systems talking to each other with judgment in the middle. No business owner is building that themselves. That’s a real advantage for whoever builds it for them. And look how easy the offer becomes. You charge a percentage of recovered revenue ONLY and That’s it. Their risk is literally zero…. you get paid out of money you found them that they had mentally written off. The guarantee writes itself. "We recover your overdue invoices or you pay nothing." Almost no one argues with that offer. Because there is nothing to argue with. Let me explain a quick math. Average business is sitting on 17,500 in unpaid invoices.Let’s say the automation recovers even half…. 8,750 back in their pocket. You take 20% that’s 1,750 bucks to you per client and 7 grand to them that was DEAD money a month ago. Now tell me which is an easier sale…. "AI chatbot for your website, 500 a month" or "give me 20% of money you already gave up on" One of these sells itself. Try to do this today. Pick one niche that bleeds from this…. agencies, contractors, law firms are the worst hit. Message 20 of them with one single question. "How much do you currently have sitting in invoices 30 or more days overdue?" That’s it. Don’t pitch rn. Their own answer IS the pitch. The moment a contractor types out "probably like 40K" he has sold himself and you are out there just holding the solution. My last post was about recovering money your customers cards failed to pay. This one is money your clients never paid at all. It’s the same lesson both times. Everyone automates the shiny stuff. But the money is at the bottom, in the boring stuff, where nobody is looking.
AI is increasingly being used in debt collection, with automated agents like ProCollect's Eve calling debtors, offering efficiency and scale, but also raising concerns about job displacement and interaction quality.
The author argues that AI agents are rapidly approaching the capability to function as fully autonomous debt collection employees, leveraging existing infrastructure like LLMs and automation tools.
An analysis of how AI agents are creating value in lead generation beyond cold outreach, focusing on research, enrichment, follow-ups, and CRM management, with examples from fundraising.
The article shares practical insights that focused automations for repetitive sales tasks (like lead qualification and follow-ups) are more effective than fully autonomous AI sales agents.
The article argues that most businesses need AI agents for automating repetitive workflows rather than just chatbots, and provides a framework for implementation to achieve higher ROI.