The Rise of AI-Mediated B2B Buying and the Future of Marketing Automation

Julia Nimchinski:

And next up, please welcome Kelly Hopping, CMO of Sixth Sense, formerly Demandbase, and John Miller, co-founder of Marketo, and one of the architects of modern B2B marketing. Welcome to the show. How are you?

Kelly Hopping:

Good! How are you doing, Julia?

Julia Nimchinski:

Super excited, we just had a keynote from Brian Solis. And, yeah, excited to dive into the future of marketing automation.

Kelly Hopping:

Awesome. Well, I’m glad to be here. Welcome, John. It’s good to see you, too.

Jon Miller:

Hey, Kelly.

Kelly Hopping:

Hey!

Jon Miller:

Any, any, con FOMO… not being in France, con FOMO?

Kelly Hopping:

A little bit. I had to choose between Cannes and Nationals volleyball Tournament for my 13-year-old, and so volleyball won, and my team is over, in France living it up, so maybe next year I’ll get there.

Jon Miller:

Fair enough. I thought Tom Fishburne had a great cartoon. It was sort of like, you know, the award for the best humble brag that I’m in, you know, I’m at Con without, like, you know, kind of bragging about the fact I’m in con, so I thought that was a really good cartoon.

Kelly Hopping:

Yeah, it’s a pretty amazing place to be right now. I just got off the phone with my team over there to hear how it’s going, so it sounds like it’s going well. But cool!

But the really cool people are here at the Agent to Agent Go-to-market AI Summit, listening to you and dying to hear what you think about the rise of AI-mediated B2B buying and the future of marketing automation. So… you ready to dive in?

Jon Miller:

Let’s do it.

Kelly Hopping:

All right. So, to everyone, hello, I’m Kelly Hopping, I’m the CMO over at Sixth Sense. I will have John. John, you want to do a quick intro, and then we’ll dig in?

Jon Miller:

Yeah, so, yeah, I… most of you, if you… if you’ve heard of me, know me as the co-founder of Marketo, the first CMO over there. The… I guess the fun fact, or scary fact, is that was over 20 years ago. At this point. We actually started Mercado the same month my son was born, so it’s very easy to keep track of how old they both are.

After… after Marketo, 9 years there, taking them through the IPO, I started an ABM platform called Engageo, which in 2020 merged with Demandbase. Where I took on the role of CMO there for a couple years, and then when you came on board over at Demandbase, I left.

And, spent a little time figuring out what I’m gonna do next, and started something new, which I’m sure we’ll talk a little bit about.

Kelly Hopping:

Yeah, yeah, that’s great. Well, good. Well, I’m sure your wife loved it when you started a new company while she had a newborn baby, so that’s a fun story for another time we’ll dig into.

Jon Miller:

Although I will say, it’s actually… the earliest days of a company are the most flexible time you’ll ever have.

Kelly Hopping:

Oh, that’s probably true. Yeah, you’re setting your schedule.

Jon Miller:

yet, and you don’t have any employees yet. So yes, you’re working hard, but you’re working hard when you want. Yeah, there you go. So it was actually pretty good. It was harder when we had my second kid.

Kelly Hopping:

Because you were deep into a business with employees and everything.

Jon Miller:

Exactly.

Kelly Hopping:

Yeah. Well, cool. Well, that’s good advice for future founders on the call. Okay, so you said… so you founded Marketo, then Engagio. You also just recently launched the B2B CMO project, I think, like, in April or a couple months ago. And then you’re starting to think about what comes next.

You’ve, you know, your… your, very, teasing, LinkedIn profile, I think, says Stealth Startup. When you think about what comes next, like. One, do you want to share any of that?

But two, when you look at where, kind of, marketing automation started back in your Marketo days, and then, you know, on the ABM side, it’s Engageo, and that also is a different sort of marketing automation. And where it’s heading now, what and where you might be going in this new self-startup, what feels like the most fundamental shift?

Not just to, like, an upgrade, but what’s the biggest, sort of, pivot or genuine kind of rupture in how B2B buying has transformed?

Jon Miller:

Yeah, thanks for asking the question. So… I will say, you know, even before this latest generation and the big shift I want to talk about, you know, I have felt that the world’s ready for a new marketing platform for at least 5 years now.

You know, that comes from both the… lack of innovation that’s happening in the current legacy platforms, you know, Marketo inside of Adobe, Elk inside of Oracle, etc. You know, people are frustrated, like, they… the renewals are coming up, and they’re like, this is the best I got?

Like, and they renew because, kind of begrudgingly, because they haven’t found that there’s a better alternative. You know, but the big change that I think enables my new startup and others to build a new thing that really is significantly better is, I call it, is the move from rules to reasoning.

And… You know, what I mean by that is… Marketo and Pardot and all the other legacy marketing platforms are really glorified rules automation systems, right? They’re not really marketing automation, they’re rules automation, right? So, if Somebody opens an email, then add 3 points to their score. Right?

If somebody’s title contains any of these 32 strings. then I’m gonna assume they’re in sales, and put them in the sales nurture track. And, you know, that gets you kind of partly towards what we want, you know, because you can now have… I’ve got 3 tracks, and it’s more relevant than if you didn’t have… if you only had one track.

But… you know, what AI can unlock today is true reasoning. Right? And it can… it can be like, I’ve got Kelly. And what do I know about Kelly? What do I know about her company? What do I know about her interests? in a similar way to the way that your Instagram or your TikTok feed is really, truly built for you. Right?

AI can now stream together a playlist of actions that’s truly personalized and built for you. Where the role of rules just becomes the constraints that the marketer puts on the thing.

You know, and the context that the marketer gives the system, but you really let the AI do what it’s good at, which is… thinking about, you know, what’s truly the one-to-one journey for each person. So I think that’s really the big, the big transformation that I’m so excited about. Both in the market and also, you know, my new startup.

Kelly Hopping:

So, when you talk about, that, I love this logic of rules to reasoning. I wrote it down because I was thinking a lot. I’ve been reading a lot about context, context graphs, contextual intelligence, all that kind of stuff. Is that what that future reasoning is based on?

Because when I was… I did this summit hosted a quarter ago, and the topic there was about context graphs and trust graph. Is that the same kind of idea? Is that where the reasoning comes from?

That kind of, like, the ability to, like, pull context from multiple different sources, multiple different Avenues, venues, and actually being able to deduct something clever versus just adding it up for an engagement score.

Jon Miller:

Yeah, I think I would say it goes hand-in-hand with context. Okay. I mean, we all know that agents without context will do the wrong thing confidently. Right? And so, if you don’t give a reasoning AI good context, it’s not going to necessarily make very good decisions.

Context consists of, you know, soft information, things like your brand guidelines, your voice, your tone, we know all that kind of stuff. It can obviously consist of what we know about a person and their account.

It can consist of really interesting esoteric things, like… In the real world, this is an example from one of my customers, they have an industry field. on the account object in their CRM, and also the person object, like the lead and the contact. in their CRM.

And every time they build a campaign, their MOPS user knows to use the one on the person field. Because it’s got… that’s the one that has the right information.

Kelly Hopping:

Yeah.

Jon Miller:

Right? That’s context. Yeah. That right now sits in a mopsperson head, but if you’re going to want an agent to do things, you’ve got to sort of at least observe that as memory and capture it, so that the agents can do the right thing. So, long story short, yes. you know, reasoning AI needs context to make the right decisions.

But I will caveat it slightly, because so many marketers I talk to, and I’m sure you talk to, are like, oh my god, my data’s bad, I can’t do things, you know.

Kelly Hopping:

Yeah.

Jon Miller:

But… and in some ways, bad data Is… is a bigger problem in a rules-based world than a reasoning-based world. Right, because if you’re…

Kelly Hopping:

Oh, Tony.

Jon Miller:

Data about somebody’s title is wrong, it means you could put them in the wrong nurture track and do something incredibly irrelevant. But when you give AI, kind of, all the context about somebody. In some ways, the same way that a human can, like, look at all that and, like, kind of figure out what’s going on.

You know, it’s actually, in my experience, more resilient. It flawed data than a rules-based world is.

Kelly Hopping:

Interesting. That’s, that actually makes a ton of sense to me. I just think about even my own engagement with agents or anything else, and sometimes I’ll kind of put the wrong word, or… I mean, even my, like, very basic use case. I’ll put the wrong word, I’ll spell it wrong, I’ll do whatever.

AI’s like, yeah, yeah, I know what you’re talking about, I got it. Like, I’ve got the history, I can deduce what you’re trying to tell me, because I know all these other things beyond just this one thing you asked me.

Jon Miller:

Great example, yeah.

Kelly Hopping:

Yeah, so if… so, okay, so if we think about the buying journey, right? So if an AI agent is now doing early-stage, research, right, as part of, like, you’re talking about, maybe based on this reasoning quotient or whatever it is.

And shortlisting more than a human buyer used to do, and reading your website, comparing you to competitors, synthesizing reviews, what does that actually change about how a company needs to show up? Is it a content problem? Is it a context problem? Is it a data problem? Is it a positioning problem? Something else entirely?

Like, what does that look like today with that mix?

Jon Miller:

Well, I think it’s first worth sort of just notice… just noting that, like. we’re transitioning and talking about two different kinds of agents, right? You know, a minute ago. You know, we were talking about agents that are computing, kind of, like, the seller’s agent, or the vendor’s agent that’s computing the personalized journey. For each buyer.

Right? And now we’re talking about buyer agents that are doing research to assist the buyer side. Totally cool, right? But, you know, I think that’s the reason why today’s event is called Agent to Agent, right? Because we have.

Kelly Hopping:

Yeah.

Jon Miller:

Agents.

Kelly Hopping:

Agents on both sides.

Jon Miller:

of this thing going on. But to your specific question about, like, what happens when, AI is doing the kind of early, early-stage research. You know, I wrote… I wrote about this in my prediction article that I published at the very beginning of the year. And… you know, I, I, I think… That we are… Like, that this is more something that is coming?

Than it is, like… fully there today. What do I mean by that? I think where we are today is the world of answer engine optimization. or AEO, which I’m sure has been talked about, and will be talked about. I don’t know if you prefer GEO.

Kelly Hopping:

It’s all SEO, to be honest. It’s all the same thing, it’s just optimized with different channels and different deliveries, but that’s a whole other conversation. But yes, all of it.

Jon Miller:

We gotta land on a name for this damn thing. So that… that is clearly at play today, right? I mean, like, I mean, I’m planning a trip to Europe in two weeks, and… you know, I had my AI, like, research restaurants and things like that, you know, so there’s no doubt that that, you know, is massively part of it.

What I don’t think is happening at any scale yet. Is Agentic buying kind of beyond that AEO world? I.e. We’re not really seeing, you know, agents going out and submitting RFPs and responding to RFPs. you know, we’re… you know, one of the predictions I made is that, you know, we’re gonna have agents that sit in our inbox.

And disinter… disintermediate our email. you know, and, like, Google did release the AI inbox. At least for some users, which… I’ll be honest, kind of disappointed me.

Like, I thought, oh, it’s gotta be cool, and AI transmission in the inbox, and no more spam, and it’s just… I don’t think we’re there yet, it’s just not that useful, so… So, agents are coming to the buying process, no doubt about it. I think right now we live in the world of AEO more than anything else.

Not to diminish how important AEO is, but, So, your specific question is, okay, what actually has to change about how a company shows up?

Kelly Hopping:

Yeah, I mean, I think that’s the… yeah, the question is more, like, if we know that, Well, one, we, you know, we just rolled out… we… Sixthen’s just rolled up, rolled out a bunch of research, Carrie Cunningham did, around kind of, like, how much what percentage of deals are actually going, to vendors, and at what stage, and how much people have already made up their decision before they ever engage a vendor, and they’re doing it all on the shortlist.

So that’s being, I’m sure, one, heavily influenced by AEO that you’re talking about, but also someone is setting preference based on a lot of things tied to brand or anything else. And so I guess the question is, just given our topic of sort of this, like.

AI-mediated buying, like, how does that work, and how does… how do… how do companies need to adjust? How do we need to adjust? Where should we be investing, kind of, our… our sort of AI strategies on the buying versus the selling side? Like, what are sort of… like, what does that… that transformation even look like?

Jon Miller:

I think Carrie’s research is a great example to bring up. Love Carrie, by the way.

Kelly Hopping:

Me too.

Jon Miller:

So… you know, I think you just said it perfectly, like. There have been things that have been influencing the buying process. for, you know, a decade or two. You know, private communities, you know, conversations at, you know, that you have with another executive at your kid’s football game.

You know, like, just all these things that go on that… don’t show up in our attribution systems, we can’t track. You know, AEO is another one, and it’s a really big one, and an important one. But it is, like, it is another thing that’s influencing.

I think Carrie’s research even said, like, yes, AI is interming things, but humans are still making the decisions, in kind of almost every… in almost every case. I’m looking at it, yeah. Do you think the…

Kelly Hopping:

Oh, go ahead.

Jon Miller:

Your 2025 research, you know, he found that human buyers are still talking to 16, you know, vendor interactions as part of the buying process, and that hasn’t changed, you know, from the prior year. And I think it’s because these complex purchases You know, are still human decisions based on relationship, you know, based on trust.

Kelly Hopping:

Do you think that humans pick up on something different? Like, do you think humans are gonna respond to… I know you appreciate a good brand, like, do humans respond, like, to brand, or emotion, or storytelling more than an AI might respond to some sort of predefined set of criteria?

Is there… is, like, is that balance healthy, or is there, like, actually one skews the other?

Jon Miller:

like many things in B2B buying, I think this is complex, right? There’s no simple answer here, right? I think the simplest answer I can say is AI compresses research, but humans still sign contracts. You know, and…

Kelly Hopping:

Hmm, yeah.

Jon Miller:

You know, the… you know, I… I… I am a believer that most… The B2B buying is complex. This is gonna get a little wonky for a sec. Humans, when faced with complex decisions. tend to use heuristics to shortcut the complex decisions. We evolved this way, right?

You know, something as simple as, you see a lion run, you don’t have to think about it, we just have a heuristic that tells us kind of what to do.

Kelly Hopping:

Yep.

Jon Miller:

And, you know, most people, I don’t think, are aware of how much This, you know, neuroscientifically is influencing their decision-making. But there’s lots of research that shows brand is what influences emotion, which influences the heuristics. So, to get out of the wonkiness for a minute, what it means is what your research supports.

You know, in many cases. the… the decision… Has been made, emotionally. Often before the research even starts.

Kelly Hopping:

Yeah.

Jon Miller:

And because humans are subject to confirmation bias. You know, once we have… whether we know it or not, once we’ve made that decision. You know, it is, difficult. even for AI research to necessarily move us off of that kind of, you know, emotionally made decision.

It happens, and again, this is where Carrie’s research is so wonderful, but I think he found that companies only… you probably know Stephan and I do, but companies only move off of the preferred vendor that they started the process with, like, 20 or 30% of the time.

Kelly Hopping:

Yeah, it’s like 80% of the time, they go with that number one on the shortlist.

Jon Miller:

Yeah, you know, and that… there’s two factors in that. One is the emotional challenge I just talked about, and two, the effort that goes through into building consensus in the buying committee. Behind that, and once you’ve gone through that effort, again, like.

your AI might say, well, this other thing’s better, but, like, you’re just not gonna necessarily… like, a human’s not necessarily gonna do that, so…

Kelly Hopping:

Yeah.

Jon Miller:

So, a lot of this has to do, again, with how complex the decision is. If you’re buying widgets at a commodity price. you know. that’s probably gonna just… AI’s just gonna do that. It’ll… it will send out… agents will send out RFP, you know, things and come back and negotiate pricing, but the kind of stuff you and I sell, complex decisions.

Kelly Hopping:

Yeah.

Jon Miller:

You know, So, what are we gonna do? Like, I mean, this is where my advice gets a little bit generic, right? But, like, obviously, we need to… we need to really work hard to make sure that AI is representing us and our brand properly.

Kelly Hopping:

Yep.

Jon Miller:

You know, just like we wouldn’t let Gartner say the wrong thing about us, we don’t want to let ChatGPT say the wrong thing about us. And that does mean producing content. You know, that… that is… appropriate for the AI to consume and all that kind of stuff.

And at the same time, we are still marketing to the human, which involves brand and emotion and all these other things. So, yeah, you know what? We have… we have multiple members of the buying committee. Some of them just happen to be AI agents.

Kelly Hopping:

Yeah, I mean, it makes me think about, like, this… what you started with, about, sort of, the AEO, GEO, whatever, influence, as they’re the primary influencer of buying decisions, or of, of, of, of buying right now, because we’re not sort of outsourcing that whole process yet to agents, and so while we’re doing that, it seems like there’s sort of, like, a split trajectory of kind of, like, or split focus.

One is. there’s definitely a renewed focus, I’m feeling, I’m doing it myself right now, in, in building, in fixing the brand, building the brand, amplifying the brand, optimizing the brand for AEO, all the things that you talked about.

On the other side, there’s also, the actual development of the agents and AIs and things that are actually going to one day take over that, but in the meantime, we need these brands to be really, really strong, and those are going to influence both the human and the agent, if they’re done right.

And I feel like where that pendulum… like, I just had this whole, talk with my leadership team recently about, like. It used to be all about pipeline. Pipeline, pipeline, pipeline.

I’m gonna make every single decision based on what’s gonna drive immediate pipeline, and now I’m, like, swinging, like, instead of going after the 5% in market, do I need to be going after the 95% that aren’t in market yet? With the brand, and like, where should my focus, where should my marketing investments go?

And I feel like the pendulum is swinging towards that first one.

Jon Miller:

Couldn’t agree more. You know, in many ways, I think we over-rotated into kind of highly measurable marketing.

Kelly Hopping:

Yeah.

Jon Miller:

You know, and I think we’re all recognizing that Because buying is complex, the answer isn’t a simple… put dollars in, get MQLs out, you know, model. Yeah. Absolutely.

Kelly Hopping:

Yeah, for sure. So let’s focus a little bit on your career and where you’re going, and this topic around marketing automation. So you’ve spent your career building infrastructure for marketing automation.

Looking at the current generation of AI-native tools, what do you think the old playbook got right when you started your Marketo, even Engagio days? Versus, what do you think there… where is it totally broken? Were those assumptions no longer right that need to be adjusted going forward in order to sort of succeed in this AI-native world?

I think we’re all battling, as somebody who sits at Sixth Sense, a type of, you know, maybe what you would have called earlier, kind of… I don’t want to say that legacy, but kind of that old-school application software sort of bound in its own existence, versus kind of open architecture that integrates with your AI and your tools and all that good stuff, and that’s certainly the direction that Sixth Sense is moving, and I’m sure a lot of the market is going, is kind of the open, connected ecosystem.

But what you need to be successful there is very different than what we needed to be successful as a contained monolithic like, marketing automation type platform. So, what do they get right? What do they need to fix?

Jon Miller:

Well, I think… In some ways, it’s easier to talk about all the things that are wrong. You know, I could make the argument that tools like Marketo were really built For… just a piece of the buying funnel. Really, from the time when somebody fills out a form. To the time when the opportunity is created.

And… and, you know, many times, you know, in Marketo, people say, once the opportunity’s created, marketing gets shut off. Yeah. You know, marketing, don’t talk to, don’t talk to them. And then, you know, built, like, biased into Marketo. It’s literally built this way. It’s not particularly good at post-sale marketing.

you know, expansion, cross-sell, adoption, things like that. Partly because it doesn’t understand buying groups, it doesn’t understand accounts, it can’t really take product or support data in. Marketo and the other tools like that are also not very good at the preform fill.

which is why tools like Sixth Sense and Demandbase exist, in some way, in some way. So, I think that’s probably the, you know. Being kind of a lead-centric system that only focuses on this, like, relatively narrow piece of the funnel made sense maybe back when it was all about demand gen and pipeline and things like that.

I don’t think it makes sense in the world that we’re talking about. Where brand matters more, post-sale matters more, you know, your existing customer relationships, the anonymous side of the buying process matters more. To make a sort of maybe contrary point, like, one thing I think they did get sort of right.

is… that… I, I, I do think marketers want And we’ll use a user interface. Like, like, building an email or a campaign. Right? Is not necessarily best done over a chat interface.

Kelly Hopping:

Yeah.

Jon Miller:

You know, And so, look, the way I’m thinking about it with Fave, the company I’m building, is… You know, everything can be done headlessly. You know, over MCP and CLI, so if you have an agent that wants to operate the system.

Kelly Hopping:

Okay.

Jon Miller:

And I think that’s important for just checking a box and also where the future’s going. But there is still an interface that’s designed for a human, at a minimum, to go look at what the AI did.

Kelly Hopping:

Yeah.

Jon Miller:

You know, and make sure it’s right, and maybe tweak something. Because think about it, like, when you ask AI to write a blog post. You’re never gonna just… Copy and paste it and just publish it. You’re gonna edit it first, and the same thing is true if you ask AI to write… make a campaign or a program.

You need some way to then edit the thing that it came up with.

Kelly Hopping:

Yeah.

Jon Miller:

Yeah.

Kelly Hopping:

I love that. I love that you’re… that you went headless on this, so sorry, keep going. That, got me spinning.

Jon Miller:

So, I mean, like, the way… I mean, when I’m using my tool, if I may say, my favorite thing to do is I start in Clog. You know, and I’d be like, I just finished the blog post I wrote or something, you know, and then I say, hey, Claude, like, you know, now, go also make that as a campaign in fave.

And, you know, it’ll then rejigger the blog post into a nurture email, you know, that I can touch. And then it does the work, and it creates it, and then it gives me the link. You know, and then I can go click into Fave, and I can then be like, oh, okay, yeah, you know, I’m gonna change this one thing, or something like that.

That kind of hybrid experience is where I think things are going.

Kelly Hopping:

Yeah, I love that. I think, we’re trying to think about how do we frame it on our side. This, you know, there seems to be this kind of DIY motion with this kind of AI-native path. And then the question ends up being, well, not everybody wants to build their own. Some want to actually buy the platform.

And so how do we have, kind of, like, the buy option of buy the platform where you can still press the buttons in the application with a GUI and all the things, versus build, like, insert, you know, our intelligence layer into a DIY sort of tech stack? both are valid.

Audience might be different, marketer may prefer one, RevOps may prefer one, but there’s a different sort of model, to being sort of, you know, not 100% headless. I think that, like, your point, your marketing admins still appreciate that. Side of things, too.

Jon Miller:

And I think it will vary a little bit by where you are in the stack. Yeah. You know, I think there’s going to be, like, a data core, and a decisioning context layer, and an app, an agent. You know, and some of those are gonna get vibe-coded, and, you know, some of those are gonna get, you know, built.

But the deeper you go in the stack, I think the less likely you are to be just completely homegrowing that thing.

Kelly Hopping:

Yeah, I totally agree with that. Okay, looks like we have 2 minutes. I’m gonna ask you one last question. So, given everything you’re seeing, I know you have ideas, because you’re about to launch your own company. I mean, a new… another new startup, which is great.

what’s the one thing that keeps you up at night as a founder or a marketing leader, whichever hat you want to wear, and what actually gives you optimism about where this is going? I assume that’s what, to me, would drive a startup, is you see some pain point that you want to get in there and solve.

Jon Miller:

So… I mean, this is my third company I founded. In some ways, this is by far the hardest. The… the… The pace of how fast things are moving now is just truly incredible.

Kelly Hopping:

Yeah.

Jon Miller:

You know, something I built 6 months ago can already be outdated. You know, and so just the need for speed is something, like, I’ve never seen in my career, and so that’s what keeps me up at night. What keeps me, you know, excited is the flip side of that. There are things that we could have never done before.

I’ve been… I’ve been pursuing this vision of true one-to-one marketing My entire career, and we never got there with rules, and we finally can now. And that, just to me, is, like, beyond exciting.

Kelly Hopping:

Yeah. Yeah, that’s awesome. Yeah, and the tech… it’s so funny, I mean, things that I bought… I’m so glad I’m not signing more than a year contract on anything, because something I would have bought from my tech stack a year ago is now, like.

Claude can do that for me, or a thing that I would have bought, we now built into our own product, or whatever it is. It’s, it’s fascinating how fast it’s changing, so I can only imagine trying to build a startup, and the goalposts keep moving, constantly, in what you can or can’t do. So, John, I, I’ve loved the conversation.

Thank you so much for, for letting me, be a part of it, but can’t wait to see what you do when you launch in just a few months, right? Okay?

Jon Miller:

Too much. Thanks for the great questions.

Kelly Hopping:

Awesome. Thanks, John.

Julia Nimchinski:

Thank you so much, Kelly and John. Phenomenal conversation. Kelly, we shared your research in the chat. Folks are asking, how else can we support you? John, you as well.

Jon Miller:

Well, if you are thinking about replacing your marketing automation, give me a message on LinkedIn, or the company is, again, we’re still in stealth, but, Fave, spelled P-H-A-V-E dot com.

Kelly Hopping:

Yep, and I’d say for me, if there’s, in answer to John’s own comment a while ago, which is agents without context make the wrong decisions confidently, if you’re struggling with that and want, better intelligence, insights, context, to feed your AIs, then reach out to me, on LinkedIn.

Julia Nimchinski:

Amazing. Thank you so much.

Kelly Hopping:

Awesome. Thanks, guys.