Building
Automation is not automatically efficient. Do not automate anything until you understand your business model, then automate the winning pattern, and never forget that automation needs maintenance.
Automation is very important in business, because in the end it creates efficiency and can bring you faster toward financial success, whatever you want to call it. But automation comes in two kinds: efficient and inefficient. And people are surprised by that, because they assume that if something is automatic, it must be automatically efficient. It is not. Automation, like any other process, has to be done with a head on your shoulders.
The first rule is counterintuitive: at the start, you should not automate anything. If you do not understand your business model, and you do not understand exactly how your sales will come in, or whether they will, then automating is a distraction. You can start automating things, but it might not be the thing you should be concentrating on, especially at the beginning. The thing you should be concentrating on is how you are going to make money. Companies need money to succeed. So unless automation is the very thing that creates your sales, it should not be on the front burner. If automation does not have a large impact on creating your initial sales or your product, keep it off center stage and focus on building the product and bringing in customers.
Automating early is seductive precisely because it feels productive without being risky. Building an automation is fun, it is technical, it produces a satisfying sense that you are constructing a machine. And it lets you avoid the genuinely scary work, which is putting a product in front of customers and finding out whether they want it. So founders automate at the start not because it is the priority, but because it is the comfortable substitute for the priority. You end up with a beautifully automated pipeline feeding a product nobody has validated, which is a very efficient way of producing nothing.
So when do you automate? Once you have a model, a winning pattern, one you know will make you money and can be replicated, that replication can mean automation. In other words, once you have built your first product, know how it sells, know the channels through which you sell, and know the way you want to do it, then you start looking at which of those parts can be automated. And even then, automation should be applied to elements that do not touch the quality of the marketing or the quality of the product, unless the automation actually keeps that quality intact, or even raises it, especially now with AI in marketing. But be careful, especially now, when AI is at every step and seems to know better, because it does not, not yet. In a few years, maybe, and then this part of the thinking will need to be rewritten. Automation should be done thoughtfully.
The order matters and it is the reverse of what people do. You find the pattern first, by hand, messily, learning as you go, and only once the pattern is proven do you automate the repetition of it. Automation is for scaling something that already works, not for discovering whether something works. When you automate before you have the pattern, you are hard-coding a guess, and then every time the guess turns out wrong you have to unwind not just the decision but the whole machine you built around it. Automate the proven, not the hoped-for. The proven earns its automation. The hoped-for just makes your mistakes faster and harder to reverse.
Then there is the part almost everyone forgets: automation needs maintenance. People think automation runs itself. It does not. In an online business, automation often means connecting several tools that operate independently, moving things from one place to another, refining them, transferring them. Data gets passed automatically between two tools, ultimately producing a product, or a campaign, or automatically scheduling marketing, publishing to social media, sustaining a conversation, notifying partners in a certain way. All of these can be elements of automation, and they are good. But because you are dealing with external factors, these tools are not yours, they will get updates. Which means you also need maintenance of the automation. The automation you built on top of ten tools is only as stable as the ten tools underneath it, and those ten tools change without asking you.
This is the hidden cost that turns a labor-saving automation into a labor-creating one. You built the pipeline to save yourself work, and now you have a new job, keeping the pipeline alive as the tools underneath it shift. Every integration is a dependency on a company that does not know you exist and will change its product for its own reasons. The more tools you chain together, the more fragile the chain, and the more of your time gets quietly consumed by maintenance you never budgeted for. Automation is not free. It trades the work of doing the task for the work of maintaining the machine that does the task, and sometimes that is a good trade and sometimes it is not.
There is a deeper danger in automation done carelessly, and it is worth naming, because it is the one that costs the most. If automation is not built in a structured way, thinking long-term, it can lock you into a business model you may no longer want, because it is no longer suited to future financial success. Say you sell a gadget and you have built an automation connecting several tools, for publishing to social media, creating the product, creating campaigns, communicating with partners. That whole thing is a pattern. And in half a year the market might change, and you might have to build differently, sell differently, maybe the old social networks no longer work, maybe the way you communicate with partners has to change because you need different partners. And then you have to create a whole new automation. So think about the maintenance of the automation, and think in a planned way about anything you automate at the start, understanding whether it will still serve you in six months, a year, two years, and maybe no longer than that.
The lock-in is the subtle killer, because it works against you exactly when you most need to move. A heavy automation represents sunk effort, and sunk effort creates inertia, and inertia makes you reluctant to change a model that has stopped working, because changing it means throwing away the machine you built. So the automation that was supposed to make you faster ends up making you slower to adapt, precisely at the moment the market is demanding you adapt. The more elaborate the automation, the stronger the pull to keep running the old model past its expiry date, because abandoning it feels like waste. Build automation you can walk away from, or it will keep you somewhere you no longer want to be.
Which parts should never be automated? The ones tied to quality that involve decisions affecting the nature of the customer's experience. I will not, and I do not want to, automate things tied to the user's experience with the product, though the marketing side is different. Because the nature of experience is personal. Machines have not yet acquired personality, not a fictional personality but a real one, one that could understand all the aspects, some of which arrive through intuition and therefore cannot be automated. You can automate the movement of data and the scheduling of a post. You cannot automate the judgment about what actually changes a person's experience with your product, because that judgment draws on intuition machines do not have.
I get asked whether AI will eventually replicate emotions faithfully enough to create emotion through content. Given how AI is evolving, the odds are high that it will. AI can already, in some situations, fool human nature, leading to an increased buy-sell process in certain companies. That may well happen. But the original ideas will probably still come from human hands. We will see. For now, the honest position is that AI can carry a great deal of the mechanical load of automation, but the parts that require intuition and real judgment about human experience are not yet safe to hand over.
There is one exception to the do-not-automate-early rule, and it is worth stating so the rule is not misread. If the automation is itself the thing that creates your sales, if it is the product or the mechanism by which money actually comes in, then it is not premature, it is the point. The rule is not automate late, it is do not automate the parts that are not creating your sales while the parts that are still need your attention. A founder whose entire model is an automated flow that generates revenue should absolutely build that flow early, because that flow is the business. The mistake is automating the peripheral machinery, the reporting, the notifications, the tidy internal plumbing, while the core question of whether anyone will pay you is still unanswered. Automate what makes money. Postpone what merely makes you feel organized.
So the whole discipline of automation is about sequencing and restraint. First, do not automate at the start, when you do not yet understand your model or where your sales come from, because you will automate the wrong thing and call it progress. Second, find the winning pattern, the thing that reliably makes money and can be replicated, and automate the replication of that, not the search for it. Third, keep automation away from the parts that carry the quality of the product and the customer's experience, unless the automation genuinely preserves or improves that quality. Fourth, remember that automation is not a machine you set and forget, it is a set of connections built on tools that change under you, so it needs ongoing maintenance. And fifth, build it in a structured, long-term way, so it does not quietly lock you into a business model you will want to leave.
There is a simple test for whether a given thing should be automated, and it comes down to whether the thing carries human experience or merely moves data. Moving data between two tools carries no experience, so automate it freely, it is pure efficiency with nothing lost. But anything where a human being's experience of your product is shaped by a judgment call is different, because that judgment often draws on intuition, on reading a situation in a way machines cannot yet do. Publishing a post on schedule carries no experience. Deciding what actually makes a customer feel understood does. Automate the first without hesitation. Keep your hands on the second, at least until machines have something they do not yet have, which is real intuition rather than a convincing imitation of it.
And treat every automation as a temporary structure, not a permanent one, because the market it serves is temporary too. The pattern you automated today is suited to today's channels, today's partners, today's customer behavior, all of which will shift. So build automations you can dismantle without grief, and revisit them on a schedule the way you would revisit any assumption, asking whether the pattern they encode is still the winning one. The founder who treats automation as a monument they built once will find themselves defending an obsolete machine. The founder who treats it as a tool they can rebuild will keep it pointed at whatever the winning pattern currently is.
Done well, automation is leverage. It takes a proven pattern and lets it run without consuming your attention, freeing you to go find the next pattern. Done badly, it is a beautiful machine that automates the wrong thing, breaks silently when a tool updates, and cements you into a way of doing business the market has already moved past. Automate the pattern, once you have found it and understood it. Do not automate the panic of a business you do not yet understand. And never forget that the thing you built to run itself still needs someone changing its oil.