Sean Carson

So while the service of the product may look and feel similar and maybe the messaging does, change it and talk more about the impact that you have for your customers and less about what it is that you do. And oftentimes, many companies, and we see this with a lot of different websites, it's all about them.

So while the service of the product may look and feel similar and maybe the messaging does, change it and talk more about the impact that you have for your customers and less about what it is that you do. And oftentimes, many companies, and we see this with a lot of different websites, it's all about them.

And a website isn't a mousetrap, but it is a place that potential buyers and clients will go to get more comfortable and more exposure to who you are. If it's all about you, you're missing a tremendous opportunity. It really should be all about the impact that you're having for them because that's emotional. And what we know is people make buying decisions based on emotion.

And a website isn't a mousetrap, but it is a place that potential buyers and clients will go to get more comfortable and more exposure to who you are. If it's all about you, you're missing a tremendous opportunity. It really should be all about the impact that you're having for them because that's emotional. And what we know is people make buying decisions based on emotion.

They'll substantiate it financially, but the key driver there is the emotion that is elicited and the outcome that's going to be derived from that decision.

They'll substantiate it financially, but the key driver there is the emotion that is elicited and the outcome that's going to be derived from that decision.

Yeah, it's a great question, and it's timely. You know, it's... the the way that ai is operating today is so magnificent um the use cases are abundant and the applications are never ending and so you know today i run a team of six ai agents You know, our resources across our business, you know, leverage AI and several different categories and capacities.

Yeah, it's a great question, and it's timely. You know, it's... the the way that ai is operating today is so magnificent um the use cases are abundant and the applications are never ending and so you know today i run a team of six ai agents You know, our resources across our business, you know, leverage AI and several different categories and capacities.

And we help teach our clients on different ways to leverage and use that. We don't think about LLMs and applications like chat GPT and agents that exist in verticals or specialized functions of, you know, areas of business as displacement technologies. We see them more as accelerants. efficiencies for commercial organizations.

And we help teach our clients on different ways to leverage and use that. We don't think about LLMs and applications like chat GPT and agents that exist in verticals or specialized functions of, you know, areas of business as displacement technologies. We see them more as accelerants. efficiencies for commercial organizations.

The work that used to take a structured team a couple of weeks to do can be done in 30 minutes. Companies that are embracing this and leaning in and testing and learning, it doesn't have to be a large investment. It really is an investment of time and the commitment to trial and error and finding what works for you.

The work that used to take a structured team a couple of weeks to do can be done in 30 minutes. Companies that are embracing this and leaning in and testing and learning, it doesn't have to be a large investment. It really is an investment of time and the commitment to trial and error and finding what works for you.

There's a ton of use cases around AI applications today that work for business A that are not going to be effective for business B. And there's a lot of inputs that are going to really center around that. If you have a high transaction, high volume organization with low ACVs, there's a framework and a structure of how you should think about AI to support your commercial organization.

There's a ton of use cases around AI applications today that work for business A that are not going to be effective for business B. And there's a lot of inputs that are going to really center around that. If you have a high transaction, high volume organization with low ACVs, there's a framework and a structure of how you should think about AI to support your commercial organization.

If you're on the other end of that spectrum and you have more of an enterprise or low volume type of commercial organization with very high ACVs, that framework looks completely different. And so I think it's really important to understand, again, going back to fundamentals, what is the business strategy? Do you have that foundation in place?

If you're on the other end of that spectrum and you have more of an enterprise or low volume type of commercial organization with very high ACVs, that framework looks completely different. And so I think it's really important to understand, again, going back to fundamentals, what is the business strategy? Do you have that foundation in place?

Once you're equipped with data and information, you can start to then layer in efficiency capabilities to really drive forward the organization.

Once you're equipped with data and information, you can start to then layer in efficiency capabilities to really drive forward the organization.

Yeah, it's a great question. The old way of pure volume play, we see that as a diluting effort when we think about where organizations can truly accelerate growth. with AI is to supplement, again, research, analysis, enablement, training, reinforcement. There's just a tremendous amount of use case that exists. And so I think it's critical to understand that

Yeah, it's a great question. The old way of pure volume play, we see that as a diluting effort when we think about where organizations can truly accelerate growth. with AI is to supplement, again, research, analysis, enablement, training, reinforcement. There's just a tremendous amount of use case that exists. And so I think it's critical to understand that