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Every week somebody asks me the same question, in slightly different words. "What should I automate first?" Sometimes it is "what is the highest leverage automation for a service business," sometimes it is "where do I start with Make.com if I have never built anything before." The question is always the same underneath. People want a starting point that does not feel like betting the house on a guess.
Today I am going to give you three. Not three tools. Three patterns. Because the secret nobody tells you when you start building automations is that there are really only a handful of shapes that show up over and over in small business operations. Once you can see the shape, the tool you build it in barely matters. You can use Make.com, you can use Go High Level, you can use a combination, you can use whatever your stack already supports. The shape is the thing.
Here are the three shapes that pay for themselves the fastest.
Pattern One: The Catch and Sort
This is the simplest shape and probably the highest leverage one for most operations. The job of the automation is to sit at the front door of your business, catch every incoming signal, and route it to the right place with the right context attached.
The signals could be inbound emails from a contact form. Or new leads from a webinar registration. Or fresh inquiries from a paid ad. Or replies to a cold outbound sequence. Or comments on a piece of content you posted last week. The point is that signals arrive constantly, in different formats, from different places, and the human brain is a terrible sorting hat.
Here is how the shape looks in practice. The trigger is "new message arrives in inbound channel." The first step is "use AI to read the message and classify it." Is this a hot lead, a cold lead, a support question, a partnership inquiry, or spam? The second step is "enrich the message with whatever context the system already has." If this person is already in our CRM, pull their record. If they are new, run a quick lookup with a tool like clay.earth to see who they are. The third step is "route to the appropriate human or queue with the context attached."
That is it. Trigger, classify, enrich, route. Four steps. You can build it in an afternoon. Once it is running, every inbound signal hits a human only after it has been pre-sorted, pre-tagged, and pre-loaded with whatever context that human needs to respond well.
Here is what changes when you have this running. The morning inbox triage that used to eat forty five minutes of focused time becomes a quick scan of clearly labeled, pre-prioritized items. The hot leads do not sit in the queue behind the spam. The partnership inquiries do not get lost in the support thread. Nobody has to remember to check three different inboxes, because everything funnels into one sorted view.
The mistake people make with this pattern is overcomplicating it. They try to build a system that handles every possible edge case on day one. Do not. Build it for the eighty percent that is predictable. Let the weird stuff fall into a "needs human review" bucket and handle it manually. Refine the rules over the first month based on what actually shows up. By month two, your eighty percent will be ninety, and the system will be quietly making your inbox feel like somebody else's problem.
Pattern Two: The Repeating Asset Builder
Every business produces the same kinds of assets over and over. Client onboarding documents. Weekly status updates. Meeting recap emails. Social posts about a launch. Invoice follow-ups. Performance reports. Contract drafts based on a standard template.
These are the assets that drain your week one paper cut at a time. Each one feels small. Each one only takes ten or fifteen minutes. Each one uses a different tool. By the time you tally them up, half your week is gone to small acts of formatting and slight variations on something you have produced fifty times before.
The shape of this automation is different from the catch and sort. The trigger is usually a calendar event or a status change in a system you already use. The job is to take a small bundle of inputs, drop them into a template, generate the asset, and deliver it to the right place.
Take a weekly client status update as an example. The trigger could be "every Thursday at 2pm." The first step is "pull this week's tracked tasks, completed items, and outstanding questions from the project management tool." The second step is "feed the structured data into a writing prompt that produces the standard client update format." The third step is "draft the email and put it in your queue for a quick review and send." The fourth step, optional but recommended, is "log the sent update in the client's record so the history is searchable later."
Notice that the human is still in the loop. You did not automate yourself out of the relationship. You automated the assembly. The two minutes you spend reviewing and personalizing the draft is the part that actually matters. The forty five minutes you used to spend hunting down what happened this week, formatting it, and writing it from scratch are gone.
Same shape works for meeting recaps if you use Fathom to capture the call. The trigger is "new meeting recording finalized." The steps are "extract action items, generate summary, draft follow-up email to attendees, log decisions in the project record." A meeting that used to require thirty minutes of post-work now requires three minutes of review and send.
Same shape works for social posts. Trigger is "new piece of long-form content published." Steps are "extract three to five quotable insights, generate platform-appropriate posts for each channel, queue them in Buffer at the right times for each audience." One blog post becomes a week of distribution without you opening another browser tab.
The principle is consistent. Identify the assets you make repeatedly. Map the inputs you need. Build the template once. Let the automation handle the assembly. Keep the human in the loop only for the parts where judgment matters.
Pattern Three: The Quiet Watchdog
This is the most underrated of the three patterns and the one that quietly creates the most value over time, because it solves a problem most owners do not even know they have.
The shape is simple. An automation runs in the background, watches for specific conditions, and only acts when something is wrong. The rest of the time, you forget it exists.
Think of it as the smoke detector model. You do not interact with it daily. You do not check it in the morning. It is just there, watching, until it has something important to tell you. Then it interrupts your day with the one thing you actually need to know.
Here are some watchdog patterns that earn their keep in almost any operation.
A revenue watchdog. Trigger is "every morning at 7am." Steps are "pull yesterday's sales data from the relevant systems, compare to a rolling baseline, and only send a notification if revenue dropped by more than fifteen percent or spiked by more than thirty." Most days, nothing happens. The day something does happen, you find out before lunch instead of at the end of the month when you finally look at the report.
A client churn watchdog. Trigger is "weekly scan of customer activity data." Steps are "for each active client, calculate engagement score based on logins, support tickets, and feature usage, and flag anyone who has dropped below a defined threshold." The system surfaces the three or four accounts that are quietly going cold while you are busy chasing the new ones. You get the chance to intervene before the cancellation email arrives.
A response time watchdog. Trigger is "every two hours during business hours." Steps are "scan inbound message channels, identify any messages over a defined response threshold that have not been answered, alert the right person." You stop discovering you missed a hot lead two days later when you are reviewing the week.
A subscription watchdog. Trigger is "first day of every month." Steps are "pull the previous month's transactions, flag any new charges that did not appear the previous month, and surface them for review." This is the automation version of the audit I wrote about yesterday. It catches creeping subscription drift before it becomes the eight grand a year problem.
The watchdog pattern works because it inverts the usual relationship between you and your data. Normally you have to remember to check things. Reports get built and never opened. Dashboards get visited the first week, then gather dust. The watchdog flips it. The system checks for you. You only see the data when it matters.
Putting the patterns to work
Here is the practical move for the next two weeks.
Pick one pattern. Just one. The one that maps most cleanly to your worst current bottleneck. If your inbox is the problem, build a catch and sort. If you are drowning in repetitive deliverables, build a repeating asset. If you keep getting blindsided by things you should have seen coming, build a watchdog.
Do not try to build all three at once. The temptation will be strong because once you see the shapes, every problem in your business looks like a candidate. Resist. The owners who actually get value out of automation are the ones who ship one thing, use it for two weeks, refine it, and only then start the next one. The owners who build five things in a weekend are the ones who abandon all five by month end because none of them are quite right and they are too tired to fix any of them.
Build it small. Make it ugly. Get it running. Refine in the wild.
If you want a head start, Make.com is the platform I recommend most often for these patterns because it strikes the right balance between visual simplicity and real flexibility. Their free tier is enough to build and test all three patterns at small volume. Once you confirm the shape is working, you can upgrade and scale the volume.
Go High Level is worth a look if you want a more all-in-one platform that bundles automation with CRM, scheduling, and a few other components. It is heavier to learn but tighter to operate once you are in it.
Either way, the platform is downstream of the pattern. Pick the shape first. Pick the tool second.
A note on what not to automate
One last thing before you go. Not everything should be automated. Some things should stay manual specifically because the manual version is the value.
A handwritten thank you note is not a candidate for automation. A real conversation with a long-time client is not a candidate. A negotiation that requires reading the room is not a candidate. The opening of a relationship is rarely a candidate, even if every move after that opening can be templated.
The test is simple. Ask whether the value of the thing comes from the human attention behind it or from the consistency and speed of the output. If it is attention, leave it alone. If it is consistency and speed, automate the assembly and keep the human for the moments that need them.
The owners who get this distinction right end up with operations that feel both more efficient and more personal. The ones who get it wrong end up sending birthday emails that say "Dear FIRST NAME" and wondering why their churn is up.
Where this goes next
If the three patterns clicked and you want the full library of templates I use with my clients, the AI Workflow Blueprint includes the exact triggers, steps, and configurations for each one, ready to copy into Make.com without rebuilding from scratch. Reply with BLUEPRINT and I will send it over. Forty seven dollars, and the first automation usually pays for it within the first month.
If you are running a more complex operation and want the full system for designing, building, and managing a portfolio of automations as the business grows, reply with ACCELERATOR. The AI Business Accelerator at ninety seven dollars walks through the architecture, the governance, and the team patterns that keep the whole thing from collapsing under its own weight as you scale.
Pick a pattern. Build the small version this week. Tell me how it goes.
Jordan Hale
The AI Newsroom