Beyond ChatGPT: How Multi-Agent AI Is Changing Healthcare Marketing

Most healthcare marketers are already using AI. The more interesting question now is what happens next.

I recorded this conversation in advance of this year’s HCIC, where both Sujal and I will be speaking about AI and its implications for healthcare marketing. Sujal will be leading sessions on multi-agent AI, which gave us a perfect opportunity to explore what this next phase could actually look like for healthcare marketers.

In this episode, I talk with Sujal Raju, CEO of Enqbator, about multi-agent AI and why he believes it represents an important shift in how healthcare marketing teams will work. His simplest explanation is also one of my favorite ideas from our conversation: you'd hire a team, not a genius.

Instead of asking one AI to research, write, optimize for SEO, check compliance, follow brand guidelines and evaluate its own work, multi-agent systems divide those responsibilities among specialized agents. The human's role doesn't disappear. It changes from doing every step and manually moving information between tools to orchestrating the process, setting the rules and owning the outcome.

That distinction matters in healthcare, where speed is useful but accuracy, compliance and brand integrity aren't optional. Sujal explains why guardrails shouldn't simply live in a policy document. They need to be built into the system, with marketing defining content requirements, IT defining infrastructure and security requirements, and compliance helping establish the rules agents need to follow.

We also spend quite a bit of time talking about content, because this is where the implications get especially interesting for healthcare marketers.

Patients increasingly use AI tools to research providers, treatments and healthcare organizations. Those systems are reading the information organizations already have online. If your website contains stale, contradictory or inaccurate information, AI can amplify it. Cleaning up a few high-profile pages isn't necessarily enough when hundreds or thousands of older pages may be telling machines something different.

That's one reason Sujal recommends content as a practical place for CMOs to begin experimenting with multi-agent AI. Specialized agents can help review, fact-check, optimize and maintain content at a scale that would be extraordinarily difficult to handle manually.

We also talk about where humans still matter, why autonomy should be treated as a dial rather than a switch, and why AI systems need to earn your trust over time. As these tools become easier and more autonomous, the opportunity isn't simply to automate more. It's to give healthcare marketers more time for the strategic work they haven't had enough time to do.

Why Listen?

If you're already using ChatGPT or other AI tools and wondering what comes next, this episode offers a practical look at the next stage of AI-enabled healthcare marketing.

Learn how to introduce more automation gradually without giving up human oversight.

Understand how multi-agent AI differs from using a single AI assistant for multiple tasks.

Learn how specialized agents can support content development, SEO, fact-checking, branding and compliance in parallel.

See why healthcare marketers may increasingly shift from executing individual AI tasks to orchestrating AI workflows.

Understand why outdated website content can become an even greater liability as patients rely on AI for healthcare information.

Key Insights and Takeaways

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Note: The following AI-generated transcript is provided as an additional resource for those who prefer not to listen to the podcast recording. It has been lightly edited and reviewed for readability and accuracy.

Stewart Gandolf (Healthcare Success): Hello and welcome to the Healthcare Success Podcast. Today I'm interviewing Sujal Raju, who is CEO of Enqbator. Welcome, Sujal.

Sujal Raju (Enqbator): Hi. Thank you, Stewart.

Stewart Gandolf (Healthcare Success): So good to talk to you today. We are calling and or a few weeks in advance of HCIC. And Sujal will be speaking there actually twice. You're gonna be speaking there at a master class. And today we're gonna be speaking about that one first on Monday at and so Monday morning, an interactive demonstration of multi-agent AI solving key healthcare marketing challenges. And you'll also be doing an AI think tank on content and search engines on Wednesday.

So again, welcome, Sujal.

Sujal Raju (Enqbator): Thank you, Stewart. Thank you for the opportunity. Appreciate it.

Stewart Gandolf (Healthcare Success): Sure, sure. So let's start by talking about the multi-agent AI, because I think that's such an interesting thing. And you know, Sujal, with our company, I don't know, really soon after ChatGPT, you know, sort of became unveiled, we started something for our own company called AI and Innovation Club, where we brought all of our team to kind of see the latest. And so now, you know, jumping a year and a half or two since then.

You know, everybody on our team and everybody on everybody's team is using AI, right? We're all using AI every day. And so the multi-agents, I think, are kind of the next… they've been around for a while, but in terms of ordinary users using them, I think that's the next sort of phase of our generation. And I think that if youwould agree, most healthcare marketers understand ChatGPT, you know, Gemini, but why are we moving away from these single assistants to multiple specialized tools working together? Let's talk about that first.

Sujal Raju (Enqbator): Absolutely. And that's a great question to get us started, I think. and my simple answer to that would be that you know, you would hire a team and not a genius. And what I mean by that is if you had a single AI, be the one that writes, be the one that does SEO, be the one that does compliance and let's say for testing or producing or even the developer.

When you have just one AI do all of that, that's as if someone who's gonna do the work and also do their homework check. Right. So what you want to do is like have that separated out into separate roles that you can well define. And at that point, that agent is a specialist in that specific role. So that way you can set the what you wanna call as guardrails and a specialization of each role to one agent and let all of them play as a team, just like how you would do without an AI. You would get into a team where all of them are working together and each one has something that they specialize in that they bring to the table. So that's why a multi-agent arena or a team is so much more important.

Stewart Gandolf (Healthcare Success): So for sure, and this is something that we do a lot of in our company, and we're fortunate to have our head of SEO and technology has been a very, very aggressive early adopter. But I'd like to see from your experience, what can the team do? Like what are some common marketing functions that might be difficult to do one on one? We're gonna talk about a lot of things in a few minutes here, but just some, you know, give us a sampling of some of the things that really lend themselves well to the team of agents versus single agents.

Sujal Raju (Enqbator): Yeah, so you know, let's start with it always starts with what is the task on hand, what you're trying to achieve, and you may have several. So you want to focus on the ones that are low hanging fruits that has that are more pain, painful right now to achieve, but maybe something that's not sensitive, maybe something that requires compliance check or something like that. So I'll give a good example. let's start with this. and that would be let's say a community hospital, you know has a task launch a new robotic program and robotic knee surgery or knee replacement program that they have to do. This typically would mean about three weeks or four weeks of going back and forth in emails and getting approval. Where I think a multi-agent would benefit in such a scenario would be where you create a few agents with different specialists and are able to do all of those things and orchestrate and then put something, you know, a PDF at the desk that you could then discuss with the surgeon, you know, for whom you're running this program, and give them specific instruction. Because one of the other pain points is that you know you might do all the work, but then you don't get to get the approvals from them in time. It is because what you present to them is probably a one large book about how you're gonna brand and all of that, and they don't have the time to review. So you don't get your you know approvals in time or sign-offs. but with this, you can actually point them the entire plan and also say, here's the five things that you know we want you to check on. Here is five things that we put in, our claims, if you want to call it, and here is where we reviewed and made sure that these are trusted sources that are answering them properly. Here is our actual facilities and what capabilities we have and this is where we are coming you know, from for presenting this approach on how to brand. So all of that becomes so much more simpler and quicker.

Stewart Gandolf (Healthcare Success): Got it. And so it's funny because one of the things that I'd love to hear how you're recommending teams use content. Like so for example, I'll start maybe a little bit with our team. You know, we use content all the way through the, you know, first of all, consolidating client input, looking for content gap analysis, lots of different ways. But from your perspective, how are teams using the specialized agents for content production? More at the perhaps health system level and others.

Sujal Raju (Enqbator): Yeah, so you know, content is a big one to start with, right? Everyone has content that can be reviewed, can be improvised, and that's also something that not your AI agents, but AI agents that a consumer might use. A patient might be doing their research using an AI agent. That agent is then on their end, whether it be ChatGPT or Perplexity or Google Gemini or whatever that is that person is comfortable with and using, or maybe City in future.

It's going and reading all the content from your website and giving them instructions or suggestions on whatever that question is. So our first order of thought should be that, hey, let's get our content, you know, cleaned, cleaned up, and also made in such a way that it represents your brand in a proper way that you want it to be, and also is answering or coming from an authority versus just putting some content out there, right? So how do we do that?

Well, so there are a couple of different things that we have to make sure. For example, a small community hospital may not have resources to be able to do all of these different roles that you typically would need, but a multi agent AI would be able to fit in there. And I want to make sure that I mentioned that the human factor is still there. Typically, when marketers use these tools, you know, they have they're probably working with one AI and doing a lot of copy and paste, right? So they might you know ask for this content to be reviewed, they get the answer, they copy and paste again, they review it again, they again ask it, fix it, and then publish it. So basically the AI is doing a task, but then you become the glue, right? And with the multi-agent, what happens is that you put that glue back to the system where each AI agent is talking to each other and sort of coming up you know with the with something that you then review, you know a packet, and so for example with the content you have a writer specialist who specializes in writing for healthcare right then you have someone who is checking the facts and making sure that is being fed to that writer agent to say like hey here's all the facts of we talked about in the earlier example the robotic knees replacement surgery let's say who the audience is who is this program meant for.

Right, someone is keeping track of all of those facts. Here is all the different types of services and treatments that we offer, right? And why is this better than something that they may have tried and given up on? Why is this patient or this person trying to get this treatment? So and then there is an SEO expert who's looking at making sure that hey, once we put that in, is that in the right FAQ format or any other format that we want to provide in? How do we specialize in showing or highlighting those two surgeons that we're gonna promote with this campaign? And then all of that is fed through and then the final orchestrator is the one that's reviewing everything, giving the approvals and making sure that all right this fits in and then puts in. There's also the brand, you know, because you may have a brand guide and a certain way of branding the content. So then that goes to that filter and make sure that everything that's being outputted is in the proper format that complements the brand.

Stewart Gandolf (Healthcare Success): Totally makes sense. So let's talk about the you mentioned earlier about humans, and there's a balance here, right? Like why I use AI all the time for almost I mean all day long. I have ChatGPT, premium Claude, I use Gemini, Perplexity once in a while. but I get the most out of it when I'm very actively engaged. I don't just turn it over to machine. I'm you know, I'm feeding it, I'm building with it. when you're using multiple agents, how… Is that still what you find best practices, the humans are normally involved, or you're feeling like, okay, we set these up right, let the machines do their their thing, and then provide feedback? Like how does that work in the real world, the balance there?

Sujal Raju (Enqbator): Absolutely. You know, I feel like the roles are changing, you know, from the traditional way of doing things to how we will use it in future with a multi agent. I feel like this technology for two years from now will feel as if like, you know, how we would send a PDF through a fax machine. you know, just think about when AI launched and how fast you know, fast forward what, two, three years, four years now.

And it's become streamlined. Almost everyone is using it. And you're absolutely right. in about you being the person trying to perfect it, working with your AI agent, whether it's one or multiple different LLMs, and you're trying to get the best out of it because you have the knowledge. And I feel that's where the role is changing, from the one that's doing to become the orchestration. So if I want to dive that into you know a little bit deeper.

Think of it like, for example, Claude is very well known to be the one that can be a great developer assistant. right, it's able to think analytically and come up with the right programming language solutions or proper logic, you know, logic and all of that. Whereas something else might be very good at just doing the research and coming up with that. Now there is also you know one limitation, or I want to say something that you want to be careful about is like one large prompt does not necessarily mean that it is good. It actually in most cases is worse. Why is that is because for example if you put a prompt and say “hey write this content” and then you put all of the things in that prompt to say like hey think like an SEO expert, make sure that it has schema, think about the questions and answers format, think about compliance, here is all the sensitivity of this need, you know, what we are trying to talk about. Here is our brand. And you give all of those instructions.

What happens is a single agent you know, now starts thinking about all of them as different things that it has to be aware of, but it starts to race them. So it'll probably work more towards one direction and then probably skip a few of those. So how I use it or

you know, one should use is that you separate them out and your role now changes in becoming the orchestrator, which in this case is defining the or defining and also refining over a period of time to say like, “hey, all right, you are a compliance you know specialist and this particular agent, all your job is to check the facts, check the guidelines, check the you know legality of things.” And also what is the tone that your legal expert you know has on certain topics, right? And put that in. Similarly for an SEO, for a writer, you can say like “here's our writing style that we are comfortable in presenting,” whether it's aggressive, whether it's more towards you know toned down version, things like that.

And when you do that, what happens is that you're still in the play, but the things that you would copy and paste from one and then say like, all right, I like this writing now. Now let me check and put that into the compliance check. And then checking it for compliance. Now let me move it into branding. Now let me move it for SEO. And then as a developer, let's try to code it. All of these things now become parallel. So it saves you a lot of time. It's all about saving time but getting the same throughput. And it's all in different phases. I strongly believe in an Asia AI agent should earn your trust, right? And once it earns your trust, you further refine it, right? Because you have you're not going from point A directly to the point you know Z, but you're making towards you know steps towards it and as you define them. so that's what I think about, you know, moving forward with multi agent versus just you know prompting through one.

Stewart Gandolf (Healthcare Success): So that makes a lot of sense. Let me ask another question. What I have found is in any populations of humans, some people are more technology for than others, right? Some really lean into it, some are very fearful. Some are better marketers than others. It's just a fact. Some people are more analytical than others, some people are more creative than others. So how will the role, given that the humans vary a lot, how will the role in general of marketers change over time and you know, are there winners and losers here? Like how can people adapt? Can they use the AI to make up for they're not as strong? Like how do you think that's going to change, especially with the multi agents?

Sujal Raju (Enqbator): Yeah, I would say you know, and you're right about like, you know, one person's style is different than the other person's style of how they promote. And that's seen in different personalities that we see in the industry. As we go to the conference, you're gonna meet different people and they have all their different styles. And one person who manages the children's hospital system is gonna be different than one that specializes just in the women's health you know system and things like that.

The way the things are gonna change is that we have to think differently in terms of who are we I'll give one example. Who are we even doing this for? For example, our traditional thought is that we're gonna build websites so that person who comes and reads, they're able to put their focus in the right areas, they're able to click the right button in the right place. A lot of strategy that goes into saying, like, how do we present? How do we create that funnel so that the person feels comfortable? Earns our trust, or we earn their trust that they are comfortable to schedule, you know, click on that button to schedule an appointment, let's say. And all of that was done for a person. But moving forward, you have to know that that particular demographic of users who are coming to your site is gradually decreasing or at a pace that you know is going to reduce. And what's gonna increase is the AI. The new iPhones just got released and they are putting heavily Siri onto it. What does that mean is that someone, an elderly person who has speech or vision or other challenges, they can interact with Siri and not having to even visit your website, be able to interact with it and be able to get all the content and actually even schedule an appointment just directly through Siri if you offer those services through MCPs or you know, however, an agent and agent can come in. So, what I feel is like that mindset is the first step to change. And most people recognize that and are building towards it. So, when that's happening, the rapidness in terms of how content needs to be fresh and provide is you know even more important. So, one prime example I take is like if a pick a banking system had one of their locations temporarily closed for a few months. And they were providing updates to say like, hey, this location is going to open soon. And this could be the same with a healthcare facility that's shut down for maybe temporary reasons due to you know remodeling, whatever that is. And if that message has gone across to the internet, but then when the facility came back online, you know, is not something that propagated quick enough, then that means the agent is blindly saying that, you know what, I see that this location is still off. Don't go there. This is huge. And similarly, with any information that as technology changes, treatments change, the surgeon may have changed the style of what is being treated, you know, maybe a different way or something that's better. That has to be updated and quickly. This is the first time that a marketer can do that. So you may have several departments, several different treatments and services to worry about. Well here with a multi-agent you can specialize each one or multiple teams. Think of them as teams, right?

And I mentioned earlier like you know you're hiring a team versus a genius because a genius is great at all the things, but they can't just check they want to make mistakes. so as a marketer there is the demand or what they're plan what they will do in future changes in that way because you're able to do more and you'll be able to review more and let the agents be specialists in different areas and provide you the facts. Because at the end of the day, you're trying to market something for your brand, for your system in the best way possible and do it in such a way that it's not replacing humans, but it's saving them time so that they can then utilize that time to do something else which they never had time to catch up on.

Stewart Gandolf (Healthcare Success): That makes sense. So let's talk about guardrails for compliance, particularly in healthcare and in marketing, where we have, you know, data or tracking pixels and marketing pixels, you have HIPAA. What are some of the guardrails when you're bringing in these multiple agents that you need to make sure in place that you're staying compliant with all these different rules?

Sujal Raju (Enqbator): Yeah, and that's a great question. And something that I think is a little bit blurred in terms of how people approach guardrails with guardrails in my mind are not a PDF or a policy memo, but it's rather something that's in the system itself. So what do I mean by that is that for example, if you have your researcher agent that you might create, you wanna make sure that has the proper things set up in it so that it knows which boundaries to lie within and then based on that react as that particular you know role in that team. And similarly you would do the same thing across the things. So guardrail is something that you improvise. You set the things that for example a legal expert would provide. So you as a marketer, when you create these are not thinking or you're not at a task to think like them and then sort the set the guardrails, but you can actually interact with your legal team or your SEO team or your IT and say, like, all right, what are some of the things that we have to make sure so that we can get through your phase quickly? Whatever we produce is something that you could use. A striking example could be that you know the IT team has the infrastructure of the tech stack on, let's say, the Amazon cloud, and they use certain things for deployment. And if you went ahead with the agent not saying that you could now create things which maybe are only applicable for the Microsoft Azure or the Google cloud. So when you get to that stage, it's completely you're going back to the, you know, stage one. So these are some of the things that you put in, you define, and then you set them in the system. So guardrail is not something like, you know, it's it's not something that someone has to read, but rather in the system before the agent can actually execute the first step.

Stewart Gandolf (Healthcare Success): Okay. So you're gonna be talking about this a lot at HCIC, but let's pretend for the people that are listening today, I'm an a I'm a CMO, I like the idea, I'm not even sure where to start. What would you tell them?

Sujal Raju (Enqbator): So the first things is like you know, the low-hanging fruits. I would say start with the content. I emphasize why content is important because a lot of the AI agents are currently reading the content that you already have. So refining them, making sure that's more accurate, which is a daunting task before setting up a multi-agent could take weeks, but in this case it could be something that's reviewed and put at your desk for approval very quickly. So that's the first step. And then moving from there, you can improvise other areas of what you have to do because content has always been the king and it is something that will make the branding or the authority or set your authority with everyone else in your competition that's trying to say the same thing. The uniqueness the uniqueness of your organization has to come up and the specialization has to come.

Stewart Gandolf (Healthcare Success): So how does what does this cost to do this, at least to get started? is it a big enterprise and I and now I by the way, I recognize this is it's sort of like how high is up, right? So we have a subscription for lots and lots of different AI tools, but to help people understand the context or at least the scale, what should they be thinking about cost wise?

Sujal Raju (Enqbator): Yeah, I would say you know, compare that cost with how much it would have taken if you had to hire you know, whatever number of people that you had to in order to do that work. And it's not that is something that it's gonna replace. So you might still have those people, but they're gonna become more efficient. So it's what you wanna compare with how much efficiency you will gain and how many hours you will save doing something that took you so much time to do in the past.

To answer the question on like how much does it cost, it all depends on what level of complexity you're trying to solve. For example, if you are a health system that you have things to do where you know there is let's say the content to be written or something like that, maybe just one subscription is good enough. you know, and then whether it be ChatGPT, whether it be Claude or something.

And then you could still set up the agents to still use the same LLM. But with that LLM, you could you're just defining different capabilities for each agent. For example, putting a hat like a legal expert or putting a hat as a researcher, and then they're doing that particular task. Now, the cost of any of these agents is not in about like you know how much how many tasks I can get done, but it's all about how well you have defined your role so that they can do the work quickly. Because then it's all based on how many tokens you will consume. And based on those tokens, the cost can go up or less. So if you have figured out how to make sure that we are setting these up properly, then the cost can be lower versus like you know it being very high. And you have systems, for example, we offer a solution where we have already built all of this and it's just a subscription that you pay. And we take care of everything behind the scenes in terms of how that operates.

Stewart Gandolf (Healthcare Success): Great, that's good to know. In hospitals, one of the things that I've hospitals and health systems that I've learned over the years is just how siloed they can be. And it can be difficult to get work across departments. So in the kinds of things we've been talking about today, who typically owns this,  the agents and is held accountable for performance? Is it the marketing agency, IT, the marketing department? The executive office, what's what is taught commonly done, and what's probably the best practice? And is that the same thing?

Sujal Raju (Enqbator): Yeah, something that we recommend or the way I see it is that marketing owns the content. IT owns the infrastructure and how it gets applied in compliance, for example, owns the rules and refining them as things are progressing, new laws are being made. in terms of who is actually orchestrating these, I think each one of them. So what I mean by that is like marketing team might be using a multi agent of their own and doing the tasks that they have, which is to market, run the campaigns, you know, social media maintenance things like that, reviews, how do you increase the reputation and things like that. IT is all about security and infrastructure management and compliance is all about making sure that everything that's being outputted, output somewhere is all in compliance with you know, everything that needs to be taken care of. So that's what I would say. Each one runs their own and they have a specific task. You're not gonna suddenly have that IT person saying that, hey, we don't need the marketing team, it's not gonna happen. because you know, marketing team is gonna know what and similarly a marketer should never say that, hey, we know and we're gonna replace the IT team and we'll launch these things, because that's where the factor is, the human factor is where you're you are the one who will orchestrate and you know what's best for you.

Stewart Gandolf (Healthcare Success): Makes sense. So we were talking about the change and pace of technology. can you think of anything that in about two years from now we're gonna go back and say, Wow, I can't believe we used to do that manually.

Sujal Raju (Enqbator): I think the prompting that we most of us are doing in copying and pasting, that's the single most thing that I feel like it's gonna change. And for the most factor, I think it has, right? Remember the days of first time we started using it and you would literally copy words maybe and say like, Hey, can I say this or copy an email and that has now changed to like all right, what is the you know, what should I research or give me full details about what I what I should do about this thing that I that I'm trying to learn. So I feel that's that what's gonna happen is that you know, a multi agent will become normal.

Stewart Gandolf (Healthcare Success): It's funny too because a lot of things we do now it was pretty obvious what would happen because at the very, very early days, the technical people on a team could figure out how to get the most out of AI, but most people couldn't even where to start. And so and the one of one of the things we talk about a lot, Sue, is you know, how lazy most people are. I mean, ultimately if most people they don't if they've lost the remote control of their TV, it'd probably just stay on all night. It's like nobody just actually gets up and changes the channel and turns it off. And so, you know, it takes some it takes some effort. And so I think things are getting a lot easier already. And I perceive that's gonna happen more and more. And we're seeing that already with, you know, Google building stuff into the Google Suite. And it just the more easy it becomes, the rapid the adoption will be, because otherwise most people just can't do it. So it'll be really interesting to see as it becomes so ever present and so easy to interact with, we'll I think we'll see just much, much more of it.

As we're wrapping up here, you know, we talked about hype, you know, or the hype of AI and multi-agent is still not a quite as big a buzzword. But do you feel like the promise here is like what's can what's really going to be exciting to look forward to in the future versus what's just sort of marginal gains?

Sujal Raju (Enqbator): Yeah, I would say you know, think of a CMO who might be listening, is that the biggest part of this is to save you time, your team time, so that they can do something else that they could never have time to do. right. And I also want to address what you said earlier about laziness. And I think that is a big topic to pay attention to because the more and more these LLMs are becoming capable, it is possible that you would automate without knowing the risks.

So I feel like making things autonomous is not a switch, no matter how capable the LLM is, but it's a dial. And that dial is something that you turn based on as you have refined the agent or in this case the AI that you're working with, and making sure that it has been tuned to the way that you're comfortable with, step by step, right. and and using that.

Stewart Gandolf (Healthcare Success): I agree and I would just say that you know, I get I by the way, I with ChatGPT, I was using Perplexity, ChatGPT, Claude, and I have nicknames for them all now, so you all I call it Chatty, Lexi, and Claudette. I don't know why, but it's had to make them more human to me. But it's funny how often I push back and how often the machines will go, you know what, you're right. And it's like if you're not, If you're just turning this stuff over, you're gonna end up with really crummy results. You have to really own the outcome, in my opinion.

Sujal Raju (Enqbator): I was just gonna just one point is that you know, anything that it has learned or any content, for example, you might say that hey, here is all the information I have and that's something on your website. You know, your content is what the AI is gonna amplify on. So if the content is messy, it's not gonna be that great, you know, of an output. And when I when I say that is like and this is content that we have had for years and years, and some of them may be outdated just because no one had the time to go and review it. right. And that's what AI is gonna amplify. It's not gonna like, you know, taking that example of a facility that was shut down temporarily but has been operating for months now. But if that information, stale information is somewhere, it's gonna amplify thinking that hey, that location is not there, right. So the competitive advantage that teams will have is making sure that that content that you create is solid, clean, compliant, and up to date. And that's how when you tune each of those AI you know models that you will use will work better for you.

Stewart Gandolf (Healthcare Success): It's so true. It's funny. I was it's we're both gonna be you're presenting an hour before our team is. So we'll be presenting at HCIC too. And part of our discussion will probably include how we go through and look at websites and you know, the machines are now looking at every crevice. And so there's usually incredible amounts of outdated information, which is saying exactly the opposite of what you would hope the machines would think. And so a little bit of window dressing here, a little change page change or two, is not going to be very impactful if you have a thousand pages saying the wrong thing or saying something that's outdated. And that's it's a monumental task to do this, but if you start with the strategy and you do it you know, from the standpoint of content in particular, like what do you want the machines to know? And really do that in a very thoughtful way, because yeah, like otherwise you're gonna end up with you the unintended consequences of old content that's out of place can be huge today, for sure.

Sujal, for I wanna give you a plug here. You know, like talk to anybody who's going to HCIC or anything else you wanna say about joining your session because you know, I brought you on here because I think it'll be fun to see you. I'm gonna try to make it to your session as well. So but I'd love to hear about your session.

Sujal Raju (Enqbator): Now likewise and you know what you're gonna talk about is so much more important and I feel like you know you go to conferences nowadays and almost every session is about AI. but what we are gonna offer is actually it's a workshop, right? And it's it's a masterclass. So you can actually get in, you know, attend the session and what you're gonna get out of it is an actual multi-agent live session that you can actually see things.

We will have a walkthrough of a specific task in hand and then walk through how these agents work through and actually create the output. And also I want to say for anyone who's gonna planning to attend HCIC or if you're not able to attend the HCIC, just make sure that the distinction on what you can achieve with this is that the human factor is staying for now. It's just how you change your mind frame from being the glue, like I said, and then letting the AI doing task by task, but you're the one who is copying and pasting and then making it refine, is that you build it bring that glue back to the system so the system does it. And this is exactly how we're gonna show in our session at HCIC. And I also talk about, like you said, Monday morning, I'm talking about this masterclass and demonstrating this. But then again on Wednesday, and this is a special part of HCIC that they're doing for the first time. and I welcome that, is just specializing on AI technology alone. And that's I believe happening on Wednesday when I'm speaking there again. So it'd be great to see anyone who's coming over there. And in the meantime if anyone wants to ping us Enqbator.com or reach out to me via LinkedIn, I'll be more than happy to have a conversation with you.

Stewart Gandolf (Healthcare Success): Great. Sujal, looking forward to meeting you face to face there. I appreciate your time and thanks for the insightful thinking today.

Sujal Raju (Enqbator): Likewise. Thank you so much, Stewart. I appreciate it. It was a pleasure.