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Pare de vender agentes de IA, venda sistemas de IA para empresas

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Pare de vender agentes de IA, venda sistemas de IA para empresas

Transcript

291 segments

0:00

In this video, I’m going to show you

0:02

why it makes much more sense to sell AI

0:04

systems to companies than simply

0:05

selling an AI agent. I’ll explain

0:07

what an AI system actually is, okay?

0:10

And what makes a company want to pay

0:11

for this type of system, and how you

0:13

can structure this kind of solution

0:15

without having to start everything from

0:16

scratch for every new client. But now,

0:18

let's move to the first topic of the

0:20

video, where I’ll explain why selling

0:22

just an AI agent is becoming

0:23

increasingly difficult. Because when

0:25

you have or sell an AI agent as an

0:27

offer, if your main offer is an AI

0:28

agent, I’m sorry to say, but that

0:30

type of offer is getting weaker and

0:32

weaker today. Because nowadays, guys,

0:34

there are already ready-made tools,

0:35

cheap options, and increasingly

0:37

accessible solutions out there. So, if

0:39

you tell a business owner, "Hey, I sell

0:41

an AI agent for WhatsApp," it creates

0:43

little perceived value and puts you in

0:45

direct comparison with any other person

0:48

or tool that does something kind of

0:50

similar. So, the AI agent will continue

0:52

to be useful—it will become more

0:54

useful over time—but it works better

0:57

as a piece within a system, a larger

0:59

solution, you see? So when your sales

1:02

argument stops being the agent and

1:03

starts being what? The system that

1:06

solves a real problem for the company,

1:08

your offer becomes much clearer, much

1:10

harder to compare, and much more

1:12

connected to the result the client

1:14

wants to buy, okay? So, the first topic

1:16

I wanted to bring to you is this:

1:18

selling an AI agent is getting harder

1:20

and harder for you to do. And what is

1:22

the shift that I want to discuss with

1:23

you here? The shift from an AI agent to

1:26

an AI system. Basically, this type of

1:29

change happens because the system makes

1:31

the solution much more complete and

1:33

easier for the business owner to

1:35

visualize. So instead of seeing just an

1:38

AI agent responding to messages, they

1:40

can actually see the entire operation

1:42

taking place. And when I say "they," I

1:44

really mean the business owner, the

1:46

entrepreneur. So they start to see the

1:48

lead being assisted, they also see the

1:50

lead being registered in the CRM, they

1:52

can see the lead moving through the

1:53

stages, scheduling an appointment, and

1:55

generating data on a dashboard. So,

1:57

guys, this really helps make what

1:59

you're offering tangible, because the

2:01

client can see the solution actually

2:03

working within their company. And the

2:06

AI agent will continue to handle the

2:08

delivery part, but now it will be

2:10

connected to a larger structure, which

2:12

improves the perceived value and also

2:14

enhances your offer and the delivery

2:16

itself. I’ll give you an example of

2:18

an AI system here. Look at this. This

2:21

is a type of AI system that has

2:23

dashboards, a CRM, a Kanban board, and

2:25

a section for conversations. In other

2:27

words, everyone who contacts this

2:29

company via WhatsApp will appear here,

2:31

and guess what? The AI agent? It's

2:33

already plugged into this type of

2:35

system. So, everyone who gets in touch

2:37

with this company, the AI agent will

2:40

respond to them in a humanized way, 24

2:42

hours a day. The AI agent will change

2:45

the status of these Kanban cards

2:46

automatically. It will also register

2:48

leads and clients here automatically as

2:50

well. And the best part, this type of

2:52

system already has a calendar. So, the

2:54

company basically doesn't need to pay

2:56

for any other tools; everything will be

2:58

connected in one single platform. The

3:00

company's management, the customer

3:02

service management, for example, will

3:04

all be unified in one place, okay? So

3:06

this is one type of system that I want

3:08

to share with you. Want to see another

3:10

type? Look at this one. This one is for

3:12

a law firm, a legal office. And it has

3:14

the same thing: it has a dashboard, a

3:16

CRM, conversations here as well, and

3:19

the lawyers 'calendars, and so on.

3:21

There’s the section for clients,

3:23

lawyers, practice areas, where you

3:24

register services and everything else.

3:26

And the AI agent knows everything

3:28

that’s here. So it knows the services

3:30

, it knows the company data, and so on.

3:32

So you see, it's no longer just about

3:35

selling an AI agent, but a system, an

3:37

ecosystem already integrated, where the

3:39

AI agent is just one piece of this

3:41

system. So you can see that your offer

3:43

becomes much stronger. But it’s no

3:45

use going out there and creating

3:47

systems blindly. Why? Because you need

3:49

to understand that you must create

3:51

systems that companies will actually

3:53

want to buy from you, okay? So, just

3:55

because you turned your delivery into a

3:57

system doesn't mean the company will

3:59

want to buy that system, right? The

4:01

system must truly solve a problem that

4:03

actually matters to that business,

4:05

something that is causing the company

4:07

to lose money, waste too much time, or

4:09

let opportunities slip away. That is

4:11

how the business owner, the

4:13

entrepreneur, will perceive the value

4:15

of the solution. Before you think about

4:17

what the system will have inside, you

4:19

need to understand which problem it

4:21

will solve, how much that problem

4:23

weighs on the company's operations, and

4:25

why it is worth investing to fix it. So

4:28

, let me give you some examples of

4:30

systems. Let’s look at a customer

4:32

service and sales system. This system

4:33

can receive leads via WhatsApp, handle

4:35

the service, log everything in a CRM,

4:38

track every opportunity, and perform

4:40

follow-ups until the lead buys or moves

4:42

to the next stage. Basically, this is

4:44

that type of system. Obviously, it has

4:46

more features, right? It has scheduling

4:48

and such, but it’s plugged into an AI

4:50

agent that handles follow-ups and

4:52

everything else, okay? Along with

4:53

important metrics for the company, so

4:55

the business owner can make the best

4:57

decisions possible. Another type of

4:59

system is a scheduling system, for

5:01

example, that organizes appointments,

5:02

allows booking or rescheduling, and

5:04

sends confirmations and reminders to

5:06

reduce what? No-shows, cancellations,

5:08

and manual team work. Where is this

5:10

type of system very welcome? In clinics

5:12

, right? Where the no-show rate is high

5:14

, depending on the clinic type,

5:15

especially those that don't charge when

5:17

booking the appointment, where the

5:19

person only pays on the day, for

5:20

example. Another type of system is for

5:23

Google reviews, which identifies

5:24

customers who have visited the company,

5:27

sends review requests at the right time

5:29

, tracks who replied, organizes the

5:31

history, and helps that local business

5:33

have a continuous process to generate

5:35

what? And manage new reviews. So this

5:37

type of solution is very good for local

5:39

businesses that rely on Google reviews

5:41

and need more of them. So you can

5:43

implement this type of system in

5:45

companies as well. So, notice that in

5:47

these three types of systems here, the

5:49

company isn't buying a system just

5:50

because it has many features. No,

5:52

that's not it. They are paying for this

5:55

type of system, they want to buy it

5:57

because there is a real operational

5:59

problem that this structure helps solve

6:01

. So, take an example of these types of

6:03

systems here, look. This one, for

6:05

example, is for a real estate agency.

6:06

Actually, this one even comes with a

6:08

website. Along with the site, there is

6:10

a system already plugged in where the

6:11

real estate owner can register the

6:13

properties themselves. With all the

6:14

properties registered, they can already

6:16

, look, automatically appear here. So

6:18

you can see that it's a strategic

6:20

system that really solves a real

6:21

problem for the company. So that is

6:23

what makes companies buy this type of

6:25

system. And now I want to bring up a

6:28

problem that practically every company

6:30

understands and has, which is what? The

6:32

problem of customer service.

6:34

Practically every company has this kind

6:36

of problem, and almost all of them

6:38

understand it. So let's go. Basically,

6:41

guys, every company receives contacts

6:44

from interested people, often via

6:46

WhatsApp, but they aren't always able

6:48

to respond quickly, maintain a good

6:50

standard of service, overcome

6:52

objections, follow up, and track each

6:54

opportunity to the end, right? So, when

6:58

this fails, the company doesn't just

7:00

lose messages, it can lose sales that

7:02

were already very close to happening.

7:04

That's why customer service is such an

7:06

interesting opportunity here. Well, why

7:08

? Because there is an easy problem

7:10

there. "Easy" in quotes for you to see,

7:12

for the business owner to realize they

7:14

really have a problem and several steps

7:16

that can be connected within what?

7:17

Within a single system. So, when I

7:20

bring this type of solution here, the

7:22

main problem it solves is the customer

7:24

service part, the delay in response,

7:26

the follow-up, the organization, having

7:28

a real place to organize the service,

7:30

to highlight who the leads are, who the

7:32

customers are, who buys more, which

7:34

professional is getting more

7:36

appointments, which service is being

7:38

bought more, which is bringing more

7:40

return to the company, and so on. This

7:42

is organization, this is management. So

7:45

, we tackle the customer service side

7:46

here, which is one of the main problems

7:48

. And so, what do I want to bring to

7:50

you here? That you don't need to build

7:51

this type of system here, look, from

7:52

scratch. You don't need to build this

7:54

here from scratch. Why do I say that?

7:56

Because today you can have a standard

7:57

structure with the main parts already

7:59

connected. And then you adapt this base

8:01

to different niches, processes, and

8:03

needs. So you have a standard, a

8:05

standard system, which you can adapt

8:07

for a law firm, or maybe for a real

8:09

estate agency, or maybe for any other

8:12

type of niche. And this way, each new

8:14

client starts from a much more advanced

8:16

point, without you having to repeat all

8:18

the technical work from the previous

8:20

project. And that is exactly the

8:21

business logic that is the "Nucleo".

8:23

For those who don't know, the Nucleo is

8:25

a kind of matrix system, which is

8:27

basically this right here: a matrix

8:29

system where you already have a working

8:31

base that includes an AI agent for

8:33

WhatsApp, follow-up, CRM, Kanban,

8:35

scheduling, a dashboard, and everything

8:37

else. So, if you want to know more

8:38

about the Nucleo and how you can get

8:40

access to this type of system, I’ll

8:42

leave the link below. Remember, the

8:44

Nucleo is there in the GitHub

8:45

repository. You can download this

8:47

repository and you can modify this

8:49

entire system. Notice that the system

8:51

is already created, it's already there,

8:53

but if you want to add other features,

8:55

add an official API, or add any other

8:57

type of functionality, you can do it

8:59

with this system. So, you see that you

9:01

don't need to start from scratch.

9:03

There's already a system here, ready to

9:05

go, already plugged into an AI agent, a

9:07

dashboard, a CRM, and a conversation

9:09

module where the company's own

9:11

secretary can reply right from here; it

9:13

even has its own scheduling part. So,

9:15

you can take the Nucleo, which is this

9:17

type of system, and turn it into a law

9:19

firm system, or even a real estate

9:21

system, or for other niches as well. So

9:23

if you want to know more about the

9:24

Nucleo, or if you want to download it

9:26

already, I’ll leave the link below

9:27

for you to learn more. So that's it,

9:29

another strategic video from the

9:30

channel is appearing right here,

9:32

straight to the point, and it's

9:33

definitely worth watching.

Interactive Summary

This video argues that selling standalone AI agents is becoming less effective due to market saturation. Instead, it advocates for selling comprehensive AI systems that solve specific, high-impact business problems. These systems integrate AI agents with CRM tools, dashboards, and scheduling capabilities to provide tangible value to entrepreneurs. The author also introduces the concept of using a 'base system' or matrix, such as the Nucleo, to avoid building every project from scratch, allowing for scalable and efficient delivery across different business niches.

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