I’ve Built 500 AI Workflows, This is What Businesses Want in 2026

After building hundreds of AI workflows for real clients and teaching thousands to do the same, I noticed something weird, which is that most people online are building the fancy stuff, but businesses don't actually want that.

They just want five types of automations. And these are simple,

automations. And these are simple, boring workflows. They're things that

boring workflows. They're things that genuinely save time, save money, or remove mistakes. And these five

remove mistakes. And these five automations are the ones that clients will pay the most for. So, in this video, I'll show you what they are, why they sell, and how you can build and sell them, too. But before we jump into the first one, let me show you how I figured all this out. I've worked with

coaches, real estate agents, dentists, HVAC, e-commerce, and more. And I've

seen the same patterns across every business. They're different industries,

business. They're different industries, yes, but they have the same problems. And these workflows keep showing up again and again. So, if you're watching this and you want to make money selling AI in 2026, don't overthink it. Just

start with what businesses are actually paying for, what the data is showing.

So, let's get into the first workflow.

So, this one is speed to lead. And

honestly, it might be the single easiest automation to sell to any service-based business. So, here's what it is. When

business. So, here's what it is. When

someone fills out a form on a website, sends an inquiry, or calls a business, there's a clock that immediately starts ticking. And the faster that the

ticking. And the faster that the business responds, the more likely they are to close that deal. Studies show if you respond to a lead within 5 minutes, you're up to 10 times more likely to convert them compared to responding even 30 minutes later. And yet, the average

business takes 47 hours to respond to a new lead, which is two full days. By

that point, the prospect has already talked to three of your competitors, forgotten they reached out to you, or maybe they've just solved the problem already themselves. So, a speed to lead

already themselves. So, a speed to lead system fixes that gap completely. The

moment someone submits a form, the automation kicks in. It captures the lead info. It qualifies them based on

lead info. It qualifies them based on criteria like budget, location, service type, whatever. And then it routes that

type, whatever. And then it routes that lead to the right person on the team.

And it also fires off a personalized follow-up message immediately. So all of this happens within seconds. So who

actually pays for this? Service based

businesses, dental clinics, law firms, home services companies like HVAC and plumbing, real estate agents, even marketing agencies. Basically any

marketing agencies. Basically any business where a mislead or slow response directly equals lost revenue.

So basically every business and the reason they pay so well for this is because the ROI is immediately obvious.

You don't have to convince them of some theoretical AI agent future benefit that may or may not happen. You just show them the math. So let me give you a simple example. Let's say you're working

simple example. Let's say you're working with a local dental clinic. They're

spending five grand a month on Google ads to drive new patient inquiries. And

let's say they're getting a hundred new leads a month from those ads. But

because the front desk is busy, they're not getting back to people for hours, sometimes not even until the next day.

Their close rate on those leads is 12%.

Which means out of 100 leads that come in, they're booking 12 of those as new patients. Now you can build a speed

patients. Now you can build a speed delete system where every time someone fills out that appointment request form, the system instantly sends a personalized text and email which confirms the inquiry, qualifies them based on the type of service they need, and it notifies the right person at the

clinic right away with all the context that they need. So what you did there is you didn't change the ad spend, you didn't change the copy, you didn't change the offer, you just made the actual business faster. And let's say that close rate goes from 12% to 25%

which is conservative. So they're

getting 13 extra patients a month for the exact same amount of ad spend. And

the key is when you can walk a business owner through that exact math using their data, price objections will disappear because at that point, if they really think about it, the expensive decision is to ignore you and just not hire you. All right, so now that you

hire you. All right, so now that you understand that first one, the second one's going to make more sense. And this

is probably the least exciting automation on the list, but it's also one of the most profitable, and that is document processing. So, first, let me

document processing. So, first, let me just paint you a picture. Imagine you're

an accountant and it's Monday morning.

So, you've got 200 invoices sitting on your inbox from last week, and your job for the next several hours is just to open each one, read it, pull out the vendor name, the amount, the date, the line items, and then just type all of that into a different software,

categorize it, and then file it 200 times every single week, you have to do that. And that's not an exaggeration.

that. And that's not an exaggeration.

That's the actual reality for a small accounting firm that I've worked with, 50 hours a week, basically a full-time employees entire job, just moving numbers from PDFs into spreadsheets. So,

at $30 an hour, let's say that's $78,000 a year. So, what you can do is build a

a year. So, what you can do is build a workflow. Invoice systems can come in

workflow. Invoice systems can come in via email. The system extracts the

via email. The system extracts the vendor, the amount, the date, all of these other things that you need. It can

also check it against a chart of accounts. It can flag anything unusual

accounts. It can flag anything unusual and then push all that clean data where it needs to go. This will cut processing times down from 15 minutes per invoice, let's just say, to something like 2 minutes because you still maybe want like a human review step at the end. And

that would free up about 45 hours a week, which is over $70,000 in direct labor savings per year before you even factor in things like human errors because those cost the business money as well. And the cool thing about document

well. And the cool thing about document processing automations is that a lot of times you don't even need AI for this.

Some of the most valuable document workflows that I've ever built were purely rule-based. No LLMs, no fancy

purely rule-based. No LLMs, no fancy prompts, just clean logic that moves data from A to B without a human ever touching it. And when there's no AI

touching it. And when there's no AI involved, the system is completely deterministic. It runs the same way

deterministic. It runs the same way every time. It's rock solid logic. And

every time. It's rock solid logic. And

it's basically maintenance-free. And the

reason this sells is simple. Manual

document processing takes about 15 minutes per document, costs between 15 to $25 each, and has an error rate between 5 and 15%. And like I said earlier, every one of those errors actually costs real money to the business. So you automate that, you free

business. So you automate that, you free up some time, you drop the cost, and the math does the selling for you. And

unlike speed to lead, which is mostly service- based businesses, this one hits a completely different set of industries. Insurance companies, law

industries. Insurance companies, law firms, accounting firms, logistics, construction, really anyone that's drowning in paperwork. If people in the business are spending hours every day just moving information between systems, then there's a deal waiting to be made.

All right, so before I get into this next one, I need you to understand something. I'm about to cover two

something. I'm about to cover two workflows back toback that sound pretty similar on the surface, which are follow-up sequences and database reactivation, but they solve different problems. Follow-up is about leads who just came in and need more touch points

to actually convert. And reactivation is about leads that you forgot existed, you know, 6 months ago. They're two

different situations. They're two

different systems, but they are both extremely profitable. So, pay attention

extremely profitable. So, pay attention to the distinction because it does matter. All right, so follow up and

matter. All right, so follow up and nurture sequences first. This ties

directly into speed to lead because getting the lead fast is only half the battle. What happens after that first

battle. What happens after that first touch point is where businesses also once again drop the ball. Because most

businesses spend a ton of money acquiring leads. They get someone

acquiring leads. They get someone interested, maybe they fill out a form or book a call or attend a webinar or something like that, and then the business follows up with them once, maybe twice, and then they move on.

Meanwhile, the prospect just needed one more touch point before they were ready to actually buy something. Research

shows that 80% of sales require at least five follow-ups, but most sales people just stop after one or two. And here's

the thing that kills me. That person has already raised their hand. They've

already said, "Hey, Mr. or Mrs. Business, I am interested in what you're And that first intent action is always the toughest part of the entire sales process because once someone has filled out a form or attended a webinar or had a conversation, they're now a warm lead.

And converting a warm lead is exponentially easier and cheaper to convert than trying to convince a cold stranger to care. And yet, most businesses just let those warm leads go cold again because they don't follow up.

So, a follow-up automation can fix this.

When a trigger event happens, the system will kick off a personalized sequence automatically every single time. And

over time, you can layer on more intelligence. You can pull in CRM data.

intelligence. You can pull in CRM data.

You can do real-time research. whatever

it is, but you can add more steps into this nurture sequence. And honestly, I would kind of fit this into the bucket of appointment setting. So, think like an Instagram DM automation that will nurture people who followed your account and try to book them into a call with

you. Now, I'm not going to run through a

you. Now, I'm not going to run through a full industry list again. I think you already understand the types of businesses [music] that need this. You

know coaches consultants agencies stuff like that. But the sweet spot specifically is a business that already have decent lead volume and they know that they're not staying in front of people well enough because obviously you can't follow up with leads or reactivate

leads if their bottleneck in the first place is getting leads. But here's a simple example. So let's say a B2B

simple example. So let's say a B2B consulting firm runs monthly webinars, 150 registrants, 60 show up before automation. Someone is manually sending

automation. Someone is manually sending follow-up emails and trying to book those calls. And this could take 2 to 3

those calls. And this could take 2 to 3 days because the messaging is inconsistent. Half the list never gets

inconsistent. Half the list never gets touched and humans just forget. And this

manual process had a conversion rate of, let's just say, 4% of [music] registrants. But after the automation is

registrants. But after the automation is in place, every attendee is getting a personalized follow-up within minutes.

No shows get a different message with the replay of the webinar. And over

[music] the next 2 weeks, the system runs three to five touch points with real value, each pulling in context, so it always feels personal. The second

someone replies or books a call, the sequence stops and the sales team gets notified with all of the context of that conversation. the conversion rate will

conversation. the conversion rate will jump to maybe 10 to 12% and that's 18 calls instead of the original six that we were getting with the manual process.

And then of course you turn that into a value. So if the average deal is $20,000

value. So if the average deal is $20,000 and they closed 30% that's going from $36,000 to over $90,000 per webinar.

Same webinar, same content, same spend, they just actually followed up. Okay, so

that was follow-up sequences which handle new leads that need nurturing.

Database reactivation is a completely different animal. This is about going

different animal. This is about going back in time. Every business that's been around for any amount of time is probably sitting on a gold mine that they've completely forgotten about. Past

customers who have churned, newsletter subscribers who never bought, people who started a free trial and then just disappeared. Leads who went quiet after

disappeared. Leads who went quiet after a conversation. Same concept as before.

a conversation. Same concept as before.

These people already know the business.

They've already had some level of interest and they're just sitting in a CRM collecting dust. So this type of automation, database reactivation, will pull them from that existing database.

It will segment people based on where they dropped off and can send personalized outreach. This is designed

personalized outreach. This is designed to restart the conversation. It will

reactivate the lead. When someone

responds with interest, the system qualifies them, hands them off to a salesperson as a warm lead. No mass

blasts, no generic messaging. Each touch

point references their specific history with the business. Now, let me skip straight to why this is so powerful, because I think an example will hit harder than me explaining the mechanics.

So, let's take a local gym as an example. Let's say they've been open for

example. Let's say they've been open for 3 years. They've got 4,000 people in

3 years. They've got 4,000 people in their system, which is past members, trial users, and cold inquiries, but nobody's reaching out to any of those people. They're spending all of their

people. They're spending all of their budget on new ads trying to get fresh people in the door. So, you build a reactivation workflow that segments the list and sends personalized messages referencing each person's history with the gym. And even a modest 2 to 3%

the gym. And even a modest 2 to 3% conversion rate here means that that's 80 to 130 people walking back through the door. At $50 a month with an average

the door. At $50 a month with an average 8-month retention, that's 32 to $48,000 in recovered revenue with no new ad spend, no new copy, no new leads, just working what they already had. And

agencies that specialize specifically in database reactivation are reporting average ROI of,200% in the first 60 days. So, this one almost sells itself.

days. So, this one almost sells itself.

You ask a business owner how many contacts are sitting in their CRM doing nothing. You show them what even a small

nothing. You show them what even a small percentage of those people coming back would mean for their bottom line. And

you're not selling an automation anymore. You're showing them basically

anymore. You're showing them basically just a big pile of money that they forgot they had and you're offering to go pick it up for them. The industries

that benefit the most from these are ones with high lifetime value and recurring revenue. So gyms, dental

recurring revenue. So gyms, dental clinics, SAS platforms, e-commerce, coaching, anyone with a database of 500 or more contacts that aren't being actively worked. All right, so the last

actively worked. All right, so the last one, and I saved this one for the end because it might be one of the most underrated automations on [music] the entire list, which is internal reporting and status notifications. It doesn't

sound too sexy at all, but it's one of the stickiest automations that you can sell. Because once a business has it and

sell. Because once a business has it and is using it, they literally could not imagine going back to life without it.

Same way that you and I would feel if we lost our favorite AI productivity tools, we would feel super slow. Every business

has people spending hours compiling information that the other people need to make decisions. So sales managers pulling weekly pipeline numbers, agency owners compiling client KPI reports, operations people gathering status updates from all these different tools.

None of this work is hard once again, but it's just manual and it's repetitive and it eats up hours every single week.

And I can tell you firsthand when I was working at Goldman Sachs, a massive part of my job was automating exactly these types of reports. And that's one of the reasons why I got into the automation space because I realized how much time can truly be saved. So an internal reporting automation can handle stuff

[music] like this in the background because it can pull data from different systems. It can run the analysis and it can just basically notify the team where they would have gotten that already.

This could be a daily Slack message with yesterday's sales numbers. It could be a weekly email with the client performance metrics. It could be an automatic

metrics. It could be an automatic notification when a deal hits a certain stage or if a project falls behind schedule. The system runs on its own. It

schedule. The system runs on its own. It

pulls real-time data and it puts it exactly where the team already looks for information. So, no new dashboards, no

information. So, no new dashboards, no new tools, no new processes. You're just

automating a process that sometimes people have their entire full-time job just doing that. And once again, I think that it's not to replace that person, but maybe let that person do something that's a little bit more valuable to the business. So, here's an actual example

business. So, here's an actual example of one of the most profitable automations that I've ever seen. And it

was so, so simple. It just converted daily phone orders into the same text format that the construction crew was already using. It got organized

already using. It got organized automatically instead of someone typing it every morning. It saved 45 minutes a day and helped avoid $12,000 a month in scheduling errors. The crew didn't have

scheduling errors. The crew didn't have to change a single habit. And that's the power [music] of meeting a business exactly where they already work. They

don't want to learn new processes. They

don't want to learn a new UI. They just

want to be faster. And I'm not even going to list industries for this one because honestly, every single business has this problem. If a business has more than a few employees and uses more than just one software tool, then they need recording. And this sells because it's

recording. And this sells because it's the definition of a flywheel that I always talk about. You design a system that basically saves the [music] business time. It lets them serve more

business time. It lets them serve more clients, serve existing clients better.

And all of this grows the business. And

when the business grows, the system gets used more, which basically feeds right back into itself. So the value is exponential. And that's real leverage.

exponential. And that's real leverage.

Okay. So now that you know what the five best workflows are to sell, here's how to actually sell them. Because I see so many people start out trying to sell the actual workflow. You need to be selling

actual workflow. You need to be selling the outcome. You need to be selling I

the outcome. You need to be selling I can save you 10 hours a week. Cut your

admin mistakes and human error. Speed up

your leads. That positioning is what people actually pay for. So instead of offering to build an edit in workflow or a cloud code automation, you're actually offering to save time, cut costs, help them focus on making more money. And

there's actually a simple way to start doing this. Don't try to learn all five

doing this. Don't try to learn all five of those automations. Just pick one, learn it inside and out, and build a simple version of it. Then show a business owner a demo. Now, once you pick your lane, you've got two paths that you can take. So path one is to

completely niche down on a specific process. You basically say, "Hey, I'm

process. You basically say, "Hey, I'm going to be the absolute expert on speed to lead systems. That's [music] my thing." And there's a huge benefit to

thing." And there's a huge benefit to this, which is you learn the language of that specific problem. You learn what converts. You learn what objections come

converts. You learn what objections come up. You learn where things typically

up. You learn where things typically fall through the cracks in that process.

And you legitimately become the expert, which means you have better case studies. You have better positioning.

studies. You have better positioning.

You have stronger testimonials. And you

can likely promise better results than someone over here who's kind of more of a generalist and has 10 different services. same reason why a really good

services. same reason why a really good steakhouse doesn't need hot dogs because they are known for their steak and it also means they can charge way more for their product. So then the second path

their product. So then the second path is to kind of go more broad and be a consultant. And if you go this route,

consultant. And if you go this route, your job isn't to walk in with your demo solution and force it on a business.

Your job is to understand all of these use cases so that you can make smart suggestions, but ultimately you're there to identify the actual bottleneck. This

isn't what the business owner thinks the problem is or what he or she thinks the AI solution that he or she wants is.

It's actually finding the constraint.

And there's a really good question that you can use to find it, which is saying, "Hey, if 500 new clients showed up at your business tomorrow, what would break first?" And this is super powerful

first?" And this is super powerful because that question forces them to think through their entire operation logically, step by step. And as they walk through it, you'll find every single hole. Maybe their intake process

single hole. Maybe their intake process falls apart. Maybe their team can't

falls apart. Maybe their team can't follow up fast enough. Maybe their

reporting breaks down and nobody knows what's happening. Whatever breaks first,

what's happening. Whatever breaks first, that's probably where you want to start.

Think of it like this. Imagine your

business as a pipe and you have water flowing through it. And that is basically your cash flow. That's your

money. If there's a clog near the beginning of the pipe, then why in the world would you try to pour more water into this clogged pipe? But that's what most businesses do. They spend more on ads. They spend more on salespeople and

ads. They spend more on salespeople and they do all of this stuff to try to put more volume through a system that's already broken. What you should actually

already broken. What you should actually be doing is removing that clog. And then

once it's gone and the water can go through the pipe, then you focus on finding more water and putting more water through it. And the five workles that we just covered are the most common clogs. Speed to lead fixes the response

clogs. Speed to lead fixes the response gap. Document processing fixes the

gap. Document processing fixes the operational bottleneck. Follow-up

operational bottleneck. Follow-up sequences fix the leaky pipeline.

Database reactivation unlocks revenue that's already been paid for. An

internal [music] reporting fixes visibility gap that slows down every decision. So, pick your path, pick your

decision. So, pick your path, pick your first workflow, and go show someone the value. That's how this starts. So, I

value. That's how this starts. So, I

know that we covered a ton of information in this video. So, what I did is I threw all of this into a resource guide that you can access for completely free in my free school community. The link for that will be

community. The link for that will be down in the description. And if you want to see exactly how I started making money using this framework, then check out this video on screen right up here.

But anyways, that's going to do it for today. If you guys enjoyed or you

today. If you guys enjoyed or you learned something new, then please give a like. Definitely helps me out a ton.

a like. Definitely helps me out a ton.

And as always, I appreciate you guys making it to the end of the video. I'll

see you on the next one.