How to Scale AI with Empathy and Rebuild Trust in a Digital World

In this episode, hosts Myles Biggs and Patrick Patterson sit down with Krish Sailam, Level Agency's new SVP of Artificial Intelligence, to explore the real-world application of AI beyond the hype. With two decades of experience driving innovation for brands like Amazon, Cisco, and BMW, Krish offers a masterclass in navigating technological disruption.

Are you prepared for a future where every customer interaction is personalized and instantaneous? Krish unpacks the immense opportunity AI presents for revolutionizing customer service and creating unparalleled experiences. But what about the risks? This conversation confronts the dark side of AI, from the erosion of trust caused by deepfakes to the broken hiring market flooded with AI-generated resumes. Krish provides a framework for how to think about these challenges and what it takes to lead with empathy and authenticity in an increasingly digital world.

Tune in to learn how to be a "market maker" in the age of AI, why empathy is your most critical tool for innovation, and how to build and maintain trust when you can no longer believe what you see online.

Key Takeaways

• Become a Market Maker: Learn the principles of translating complex technological shifts into actionable business strategies that put you ahead of the curve.
• Leverage Empathy for Innovation: Discover why understanding the human experience is the most crucial element in designing breakthrough products and services.
• Navigate the AI Trust Crisis: Get actionable insights on how to foster authenticity and build meaningful connections in a world saturated with AI-generated content and deepfakes.
• Rethink Your Hiring Process: Understand why the traditional resume is dead and how to find top talent in a market overwhelmed by AI-driven applications.
• Prepare for the Future of Customer Experience: Explore the tangible ways AI will reshape customer service and what you need to do to prepare your business for this seismic shift

Resources and Links

Guest:

• Krish Sailam’s LinkedIn: Connect with Krish

Connect with the show:

• Myles’s LinkedIn: Connect with Myles Biggs
• Patrick’s LinkedIn: Connect with Patrick Patterson
• Level Agency: Learn more about Level Agency

Special Offer:

AI Visibility Audit: Find out how prepared your business is for the AI Search Revolution. Get your AI Visibility Scorecard today.

Transcript

Krish Sailam: There is a significant learning curve in adopting ai, and you have to kind of help the people move along to this new process. And I think if you take a group mentality of like bringing the whole, you know, group forward, I think that's the approach we need to take with AI versus letting a bunch of people kind of off fend themselves.

Myles Biggs: Hello everyone and welcome back to the show. It's your host Myles and Patrick here to remind you that on this podcast we are driven by truth. Sometimes the hard truth. We believe it's imperative to be relentless for results because if you are not your competitor is, we're obsessed with being bitter every day because that's what our customers deserve.

Myles Biggs: And if you can set aside your ego, if you can truly be no ego, then we are the show to help you go all in. Because good enough isn't today. Our guest is someone I'm sure we'll be hearing more from on the podcast in the future. It is Mr. Kris Salem, our new senior Vice President of Artificial Intelligence.

Myles Biggs: Krish brings more than two [00:01:00] decades of experience at the intersection of media marketing, operations, and enterprise ai leading, leading programmatic and MarTech for brands like Amazon, Cisco, Oracle, Intel, slack, and BMW. Most recently standing up at AI operations team at Nextdoor to drive real measurable impact across the business.

Myles Biggs: At level, his mandate is simple, but massive. Reimagine how AI is embedded across our teams workflows and client delivery so we can grow faster, smarter, and never settle for good enough again. So Krish, 

Patrick Patterson: just that, welcome to the podcast. Just that, huh? 

Myles Biggs: That's all. 

Patrick Patterson: That's all he has to do. Simple but 

Myles Biggs: massive, right?

Myles Biggs: That's a lot there. 

Krish Sailam: Yeah. Just boil the ocean, you know. 

Patrick Patterson: It should be easy, Krish. Come on. It's, uh, how long, how, how many days is this have, are we counting days or weeks at this point? 

Krish Sailam: I think we're coming up on 30 days. 

Patrick Patterson: 30 days. So this is, 

Krish Sailam: uh, the fifth week. 

Patrick Patterson: Yeah. You have it all solved then, right? 

Krish Sailam: Yeah, yeah.

Krish Sailam: Pretty 

Patrick Patterson: much. It's all done. It's all done. The agents are, the agents are doing it in the background. No issues. [00:02:00] Uh, you're just on autopilot at this point. 

Krish Sailam: Yeah, pretty much.

Krish Sailam: So. 

Myles Biggs: Well, before we get more into that, 

Krish Sailam: yeah, no, the, 

Myles Biggs: uh, I want and SVP of AI and what that means today, Krish, you know, that's not a job that would've existed when you first started your career. So if we rewind the clock a little bit and think about your earlier days, um, I'd love to hear some more about your previous chapters, uh, and how you think some of those that maybe aren't related to AI at all.

Myles Biggs: Have helped. Helped to actually prepare you for this role in AI today. 

Krish Sailam: Yeah, happy to, first of all, thank you for having me on the, the podcast. Excited to be doing this with you guys. Uh, and hopefully, you know, to your point, this will be one of many going forward. Um, the industry itself changes so quickly.

Krish Sailam: I think there's gonna be a lot of new learnings coming up for everyone, uh, you know, on a weekly, monthly basis, whatever it might be. Um, in terms of my career progression, it started back in early 2000. Um, I was working with an agency called Digitas, and one of the first clients I was working on was at and t and we were actually helping them design their first online customer service portal.

Krish Sailam: Um, so a lot of that was, you know, ui, ux design, helping them wire frame what the website should look like, helping them design the banners and the advertisements that should go along with that, but also creating a bit of a brand position around why you would want to interface with at and t online versus calling in.

Krish Sailam: So there's a lot of learnings and that was sort of the, you know, the first. Uh, milestone in my career of going from a analog experience to a digital experience. And then, you know, you fast forward a few years, we start to get more into the online education space, um, doing a lot of performance media and, you know, getting into how we can drive people into a whole new education delivery mechanism, uh, from there.

Krish Sailam: Moved into the mobile space, uh, was helping companies like WWE, you know, Fox News, Edmonds, things like that, uh, to kind of develop their mobile, uh, platforms and then also monetize it on mobile ad networks as well. So the second sort of generation was going from, uh, digital to mobile, helping people understand.

Krish Sailam: What those experiences should look like and uh, really kind of defining customer expectations as well. So a constant theme you'll see in my career is it's always been a. Figuring out the next generation of technology, but then also being a bit of a market maker in terms of what the customer experiences should be and helping brands understand that and break that down into a bit of a roadmap to help them adopt it.

Krish Sailam: Um, so after mobile started to move into the programmatic space, uh, I spent some time with, uh, IPG at the sort of programmatic agency there. Um, was focused on mobile, digital at home, connected tv, uh, and video and really kind of helping the agencies understand the best way to layer in programmatic to their overall media strategy.

Krish Sailam: And the brands themselves after programmatic, uh, made a transition into sort of the, the data space. And, you know, looking at the broader customer [00:05:00] experience and. You know, there was really kind of building out the foundation of MarTech for Nextdoor. Uh, so that was really kind of creating a centralized data repository, making sure we can resolve everyone against one identity and then create a continuous experience, not only in the marketing space, but into the sales experience as well as into the customer service experience.

Krish Sailam: Uh, so if you just start to think about it, it was like really the, the, the trifecta of customer experience management and tying those signals together, um, and then. You know, now the, the fourth generation is really kind of bringing that all together with a layer of ai, um, so digital to mobile, to programmatic, then to ai.

Myles Biggs: So all very different. Right. You, you, you made said that on purpose. It's always been the next thing Krish, but if you look back 

Krish Sailam: Yeah. 

Myles Biggs: You know, what are the commonalities you think between all of those items? Even though they're all different? 

Krish Sailam: Yeah. So I think that the commonality was, there's a few key elements.

Krish Sailam: One of them was being able to sit in between a business stakeholder and a product and engineering team and really kind of be able to be the liaison. Uh, so to kind of take. You know, vague business requirements, translate them into actionable outputs was always like a key attribute of what I was doing.

Krish Sailam: Um, the second thing was really helping clients understand like what the next thing was and how that would be, uh, impacting their business. So it's not just this. You know, like reading about the newest technology on a LinkedIn article or a TechCrunch article, it was taking that information and being able to synthesize it to their brand and what it meant for their customer experience.

Krish Sailam: Um, and then the other thing was just kind of looking and at the technology itself and understanding what signals were coming in and being able to understand where those signals should go and how they should be leveraged in an overall customer experience. So a lot of times it was just kind of asking myself.

Krish Sailam: Yeah, if I was a customer of BMW or a customer of Koch, what would I want to see in that experience? And then working backwards from there to help, you know, the brand, uh, design that particular experience. 

Patrick Patterson: Yeah, I think so that, uh, that, that, that empathetic, uh, understanding and having worked with you for, for a little while now, I can, I can tell that that's deeply embedded in who you are as a person.

Patrick Patterson: Uh, you know, kind of that, let, let's put myself. In someone else's shoes and walk a little bit in those shoes and then yeah. Uh, figure out. Okay. You know. And again, we're, we're as an agency, we're in a people serving people business. Mm-hmm. And really it's a, a people serving, people serving people business.

Patrick Patterson: When you go from, from us Yeah. To our clients, to the, the consumers or the, the end users of our clients. And, you know, that ability to, to really put yourself. In those, uh, moments and think about what, what is impactful? Do you have any examples of, of, you know, throughout your career where, you know, that empathetic approach, you know, led to a big breakthrough or, you know, you know, caused a, you know, caused a, a seismic shift in the, in the.

Patrick Patterson: Companies and, and clients you were working with? 

Krish Sailam: Uh, yeah. I have a few different examples actually. So, um, one of the times we were working with BMW and this was when I was at Cron. Um, so I was actually in process of like, you know, looking for a new car and I said, why don't I add BMW to the consideration set at the time?

Krish Sailam: So, you know, went to the website, um, started to see some of the retargeting ads that I was getting from just being on the website and they, they worked pretty well. Uh, I think. You know, one of the things that stood out at that particular moment was that the retargeting ads weren't necessarily following me to a different device.

Krish Sailam: So there was a big opportunity to kind of help BMW with their cross device strategy at that point in time. Um, the second thing is once I went to the dealership. I kind of documented that full experience of like what that interface looked like. You know, how I went from a lead on the website to the actual interface of like talking to a dealer, um, you know, did the test drive and then I realized there wasn't, you know, any connection between my experience at the dealership.

Krish Sailam: To the digital media that I was seeing. I was still kind of getting that initial retargeting campaign and it didn't take into account, I've already moved further down the customer journey. So all that information, you know, document it in a full experience and, you know, sent it back to the BMW uh, strategy team and we made some edit in terms of like how the actual strategy played out.

Krish Sailam: Um, and you know, the other thing is like within the online education space, and this was very early on. I think it was very hard for me to kind of empathize with the traditional online education audience. Uh, 'cause I went to just a regular, you know, brick and mortar, uh, college. Um, so my experience was very different.

Krish Sailam: It was also a long time ago. Um. And you know, for me there was a big learning curve in terms of saying, all right, you know, a lot of the people that we were targeting were adult learners. Uh, they had already been in the workforce. Maybe they already have a kid and they have different financial responsibilities and their overall schedule on a daily basis look very different.

Krish Sailam: So how do you get into that mindset very quickly and learn about the struggles that they have and the hurdles that they have to overcome to even say, I can do this. And to say, I'm eligible to further my education and, and improve upon myself. Um, so a lot of it was, you know, just talking to people that were on the subway and, uh, going through their job and saying like, you know, would you ever consider doing an online education degree?

Krish Sailam: And, you know, just getting to know them on a daily basis, but then also watching like how they consume media. In those scenarios. And that was an opportunity to kinda go back to the schools and say, look, if we could target people while they were in transit on a subway, uh, that was an opportunity to kind of get in front of them where they had a little bit of downtime from that hectic day to day.

Krish Sailam: And they weren't in their work scenario, they weren't with their family scenario. It was like their time. Uh, and that kind of played into our strategy in terms of online education, marketing. 

Patrick Patterson: I love that, Krish. You know, that it, it, it is, it is an approach that I see great marketers taking whenever they, they truly want to deliver value to, to their, their.

Patrick Patterson: They're consumers. Right. And I think that that's what we're all trying to do. How does that approach, you know, reflecting on it and, and maybe rationalizing it a little bit, but like how does that approach impact how you're treat, how you've treated the last 30 days? Coming into level and, um, you know, what, how are you, you know, thinking about how you've done this in the past and, and optimizing it for the future?

Krish Sailam: Yeah, so I think, um, there's a lot of elements that kind of play forward in terms of like how I, I think about AI and, uh, you know, AI operations going forward. Um, the biggest one, you know, I wanna acknowledge for everyone listening to the podcast and everyone at Level as as well, is that. There's a tremendous amount of fear associated with ai.

Krish Sailam: And I think if we constantly just beat the drum of saying AI is the greatest thing ever from sliced bread, you know, it's like everyone should be doing it and they should be doing it all the time. And you don't acknowledge the fact that there are a lot of people being impacted by this and it is, you know, impacting their livelihood.

Krish Sailam: Uh, and that means a lot to a lot of different people. And I think. Just taking a moment to kind of, you know, understand that and understand that there is a significant learning curve in adopting ai, and you have to kind of help the people move along to this new process, so you can't just kind of keep saying.

Krish Sailam: You gotta do this, you gotta do this. You gotta ha hold their hand and help them along the way. Yeah, and I think if you take a group mentality of like bringing the whole, you know, group forward, so it's like, you know, the tide rises all boats. I think that's the approach we need to take with AI versus, you know.

Krish Sailam: Um, letting a bunch of people kind of fend for themselves. 

Patrick Patterson: Yeah, I think that's, I think that's really insightful. And obviously, you know, you experienced that firsthand at Nextdoor, uh, as you were building that team and, and learning all those valuable lessons and change management, uh, that, you know, you're, you, you get to, you get to implement now.

Patrick Patterson: So if, you know, let me tell a story and let me maybe take a counterpoint to that. Right. So, you know, if you, um. We run the finance function. Let's say you were a CFO. Mm-hmm. And you hired a, an accountant and you were like, Hey, we use NetSuite here, and that's our, that's our accounting software and our ERP.

Patrick Patterson: And I need you to learn, I need you to learn NetSuite and I need you to use it every day. And I need you to be a, you know, expert on it in six months and. You know, you, you check in after three months and you're saying, Hey, how's it going with NetSuite? And hopefully you're checking in more than three months, and I think that's the point that you're gonna make.

Patrick Patterson: Yeah. But, um, then they're like, oh, you know, I haven't really logged into it much. I, I set up my account. And then three months later you're like, well, and, and at that moment you're like, Hey, it's really important that you, you become an expert on this and this is like part of your job. And three months later.

Patrick Patterson: You go to that person, you're like, how are you using NetSuite? Like, yeah, no, I haven't really learned it. What would you as a CFO do in that situation? You would, you would fire that accountant, right? Because, you know, it would be ridiculous to have an accountant on staff that doesn't understand the finance software that you, that you have as core to your organization and your team.

Patrick Patterson: How does that not translate as well to something like chat GPT in the world that we're living in today? And like, how long do you give it? And, you know, how do you make the distinction between, I'm gonna pull you, I'm gonna, I'm gonna hold your hand on this journey. And be a part, a partner with you versus I'm gonna pull you kicking and screaming into the future of where we need to go.

Patrick Patterson: How do you make that determination as a leader? 

Krish Sailam: I think there's, there's a [00:15:00] few key differences between the NetSuite example and sort of the ai, uh, scenario. Uh, one is that NetSuite is a. Uh, a fairly well developed, uh, SaaS platform and ecosystem. Um, there are a tremendous number of educational materials available for that.

Krish Sailam: There's a ton of documentation around like how to use the system, and there's a bunch of different certifications you can get. Uh, so I think it's partially up to the manager, uh, for that accountant to say, look, I need you to get X, y, and Z certification over the next three months to kind of create those mini milestones to move towards.

Krish Sailam: If the accountant doesn't do that, that's on them. Up, and I think they're really kind of avoiding, uh, improving their own career potential there. Um, and if that continues to happen six months down the road, yeah, I think you have reasonable, you know, uh, a reason to say this is not the role for you, um, or it's not a match for our company in that scenario as well.

Krish Sailam: Uh, with ai, the big difference is that. I could show you a certification course that is [00:16:00] available today, December 3rd, 2025. That certification course would be meaningless by December 4th, 2025. Um, so the, the big problem is that the, the field itself is constantly changing. The goalpost is constantly moving, and what that does to a lot of people, including myself, is give you a sense of.

Krish Sailam: Never moving fast enough or being not able to be good enough. And, you know, I think the, the metric we're trying to show is forward movement, not hitting a finish line. Uh, and that forward movement happens both at the manager level as well as the employee level. So I'm learning at the same time, I'm trying to teach someone.

Krish Sailam: But my job is to learn it quickly so I can teach it and then we work on it together and we both experience that learning together. And I think the biggest thing we have to do as managers is, is really showcase that the learning doesn't stop. And more importantly, we have to create time and space for that [00:17:00] learning.

Krish Sailam: So we think about like a five day work week or 40 hours. Realistically, we have to allocate a significant portion of that time for learning so we can make the other portion of time more efficient. So that's, 

Patrick Patterson: I think that's, I think, I think that's exactly right. Right. And I, I wholeheartedly agree with you.

Patrick Patterson: I think you, you and I were screen sharing yesterday and I was showing you some stuff that I was doing that literally didn't exist three weeks ago. Yeah. Right. Like it has technology, it just didn't exist. And I think a leader could fall into a scenario. Where you have someone who's really forward thinking on a team and they're able to do X, Y, or Z, and you're like, well, why isn't everybody doing that right now?

Patrick Patterson: And, um, you know, do I have all the wrong people? And, you know, I think that that is a trap. And I, I, I think it's something that needs to be addressed, you know, through. Uh, you know, a [00:18:00] reeducation of exactly what you're talking about, of, of this time and effort that is spent. Learning and then teaching. Uh, and then there's validation, and then there's accountability, and then there's these things.

Patrick Patterson: But I, you know, it, it's, it's easy for, for someone who doesn't truly understand how fast it's moving to look at, you know, something that maybe I vibe coded in, uh, with Google Gemini Pro three. Um. And be like, well, why haven't we been doing that for a year? It's like, well, that literally came out three weeks ago.

Krish Sailam: Yeah, 

Patrick Patterson: right. Yeah. You know, so it's like, unless you were on top of it on day one, you know, three weeks is probably an acceptable period of time where you, you haven't trained yourself on it yet, especially when you have other work to do. Right. And so it's, it's also probably defining that period of time, like what is that period of time?

Patrick Patterson: And to your point, and I really like it, uh, it's dedicating daily, weekly time [00:19:00] towards that education. 

Krish Sailam: Yeah. 

Patrick Patterson: So how, how do organizations do that? 

Krish Sailam: So I think, you know, you, it's, it's gonna be a painful exercise. I'm not gonna sugarcoat this, like where you, you're gonna have to go to folks and say. Uh, you know, the different managers of the teams, you know, I need you to block off, uh, four hours a week for this person to learn new technology so that they can improve the other 36 hours of the week and get to a point where they have a better work life balance.

Krish Sailam: They get to a point where they're actually more productive and so forth. Um, I think with agencies in particular. It's even more painful when you're kind of billing, you know, for headcount or billing by hour in some cases. Uh, so where you're saying, look, I'm gonna take non-billable time to improve the client output.

Krish Sailam: Yeah. And to me, I think that's, you know, something that a lot of agencies has to come to terms with if we want to get to a better place with client delivery. 

Patrick Patterson: Yeah. And I think, you know, and you and I have talked about this a little bit, [00:20:00] you know, and I was actually just on the phone yesterday with a, another agency owner talking about how we've implemented ai and, you know, you, you were on the, you were on the call with me Right.

Patrick Patterson: And we were talking through that. Right. And, you know, on that call, I think it's, it, it's easy for people. To think about, oh, how are we just gonna drop all this to the bottom line? How are we just going to, you know, increase our margins, uh, increase our gross profit margin or our profit margin, our bottom line profit margin, and not think about, okay, there's, there's actually some things you should do before that, right?

Patrick Patterson: You should be reinvesting if you are going to be, uh, you know, finding those efficiencies. You should be reinvesting in people and you should be in reinvesting in technology to make yourself even more future proof, right? Yeah. And that's gonna have compounding effect. Um, and the, you know, the second thing is like, maybe be okay with people going from 48 hours to 42 hours a [00:21:00] week and change your, change your expectation.

Patrick Patterson: And, you know, I, I've admitted this a few times. I am way more productive in the eight hours that I have than I ever have been. 

Krish Sailam: Yeah. 

Patrick Patterson: And that means at the end of that eight hours I am drained. Right? 'cause I have done so much. We've removed. All of the, all of the, the mindless work that used to like maybe recharge me or, or maybe like, you know, was a water cooler moment.

Patrick Patterson: And we've replaced it all with super, super strategic, operational, tactical, just like high value work where that would've taken me weeks prior and now it takes me an hour. It's like, okay, well it took me an hour. So like. I, I better do that again and I better do that again and I better do that again. And at the end of the day, man, yeah, I feel like I haven't done enough, even though I've done more.

Patrick Patterson: Right? 

Krish Sailam: It's an interesting one. I think everyone's gonna experience that a little bit differently. Uh, so for me, like when I get to one of those days where I don't have a [00:22:00] ton of meetings and I actually am able to kind of get into the work and have output, those are really rewarding days for me. And I feel maybe tired, but like very gratified.

Krish Sailam: Where I have a meeting just or a day full of meetings, that's a day where I feel drained and I feel like I haven't done enough, even though I may have had very productive conversations. So I think there's a maybe kind of a rebalancing of what we should expect in terms of like our output per day. Uh, and that'll be, you know, something where people derive satisfaction or grad, you know, gratification from, uh, individually.

Krish Sailam: You know, there's extroverts and introverts and we all get our energy different places, right. 

Myles Biggs: You know, you're talking about the customer experience and that'll led us to sort of like the user experience of ai, like within our agency or, or similar agencies. What about the client side, you know, right. Like I, we talked about your, your simple yet massive, uh, remit at the beginning and everything that impacts, and a lot of that is how we do our work for our clients.

Myles Biggs: So what's the vision for [00:23:00] how this affects. The, the recipients of our work on the client side. What does that experience look like? 

Krish Sailam: Yeah, so it was talking about kind of a, a three legged stool in terms of like what AI should be at level. Um, one of them is really important that we, when we talk about ai, it's not just about, you know, cutting costs.

Krish Sailam: Uh, it has to be a bidirectional benefit to the employees of level. Um, so it's, you know. Part of it, just making their work life balance better, helping them with career progression, uh, giving them a whole new skill set. Uh, the second one is, you know, how do we make the company easier to work with? Uh, so can we make level the easiest agency in the industry to work with for our clients?

Krish Sailam: Uh, so that's the situation where we're making our clients look good. We're giving them information in a timely way, a simplistic way, but in the format that they want. Um, and the third one is we're really focusing on any AI efforts on two main objectives. One is growth of the company. Growth could be from acquiring net new clients to retaining current clients.

Krish Sailam: Uh, and then the second one is, you know, how do we just keep [00:24:00] cost efficient as possible? There's a lot of tools we have in house that may be duplicative or be, you know, we're not using 'em to the fullest extent. How could we potentially use AI to extract more value from those tools or potentially even deprecate some of those tools?

Krish Sailam: Um, so those three components really. You know, help kind of create the, the north star of what we wanna do with AI level. 

Myles Biggs: I feel like we talk a lot about the third leg, where it's how do we save costs and get rid of, uh, duplicated platforms. And the first one around, uh, improve how I do my work, my work-life balance.

Myles Biggs: But the second one around how do we become the easiest agency to work with is not a perspective that I've really heard before. So could you speak more to that one and like, what does that really look like? How does AI facilitate that? 

Krish Sailam: Yeah. So I think, you know, having been in agencies for a good portion of my career, um, and having been outside of agencies for another portion of my career, it's really.

Krish Sailam: Um, there's a, there's always this, you know, uh, series of things that plagues a lot of agencies. One is, you know, [00:25:00] trying to focus on profitability. Uh, and you know, in that sense they have to kind of sell certain people many times over to make them more profitable. Uh, and inherently in that equation, you reduce the amount of time that each person can allocate to each of the accounts.

Krish Sailam: Uh, when you do that, the overall service quality goes down. So, you know, a, if you're paying for a service, uh, you should be able to get that service at the same level you started with. Uh, it shouldn't degrade over time. Um, the second thing is really, you know, when working with agencies, uh, we sort of bring in a lot of different folks to the team that sometimes, uh, with.

Krish Sailam: Like simply agency I worked with in the past, the pitch teams were not the delivery team. Um, so you kind of bought into something that was really flashy and senior, and what you got was a team that was a little bit more junior, um, in that case. And there wasn't always a great knowledge transfer between the pitch team and the delivery.

Krish Sailam: Uh, so that's another issue. You know, I think we [00:26:00] can help, uh, just make a cohesive set of client knowledge that goes from, you know, pitch to, uh, actual delivery long term. Um, and, you know, just making sure we're really delivering what the client wants and needs. Every client has their own expectations and, you know, some clients are great to work with.

Krish Sailam: They're very open. They integrate you as a strategic partner. Some clients wanna keep you at arms length and you kind of have different modalities of interacting with them. And, you know, I think AI kinda gives us the ability to adjust our delivery based on what the client needs. Um, without having to spend a lot of time and customization for each client.

Krish Sailam: You kind of build, you know, a persona in the tool and I think you'll be able to deliver, uh, a variation of what the client needs every time I. The other part is kind of being proactive with clients, um, versus reactive. And I think a lot of agencies feel like they're always under the gun with like last minute requests to change things and things like that.

Krish Sailam: Um, you know, it's how do we get to a posture where we're being proactive and be like, look, we know what's coming up [00:27:00] on your, uh, internal management. Scenario our meeting, and we've already prepared the information that you need to look good for that. And we've already optimized the campaigns to do X, Y, and Z.

Krish Sailam: Um, so we're kind of trying, you know, I think the, the ultimate goal will be like, to be one step ahead of what the client needs. 

Patrick Patterson: Give us some previews of, um. Of maybe some specifics, and I, and I know you probably are, you don't want to commit to, to too much right now, uh, because you're still building your roadmap out and you're still, you're still in your learning phase, but like, what are some things that our clients should expect from.

Patrick Patterson: Level specifically. 'cause you know, generally what you're talking about, those are all good, best practices for, you know, every single, uh, agency and, and company that, that is listening to this podcast. But, you know, what can our clients expect specifically from level over the next? Ninety, a hundred eighty three sixty days.

Krish Sailam: It's a good question. And you know, in full transparency, this is not fully baked just yet, [00:28:00] but, um, you know, I think it, it's showcasing a team that is, uh, not overworked and burned out, uh, and operating at a peak level. Just like with any athlete, like if you're, you know, uh, doing let's say an ultra marathon or just a marathon, there's a point in that race where you need to kind of refuel.

Krish Sailam: And to kind of keep a consistent level of performance going. And if you just keep running that you don't feed them, you don't give them the chance to rest or, you know, uh, the right training, um, they're not gonna finish the race or they're gonna hurt themselves along the way. Um, so I think, you know, getting to a good balance, um, from a, a physical and mental state for the, the teams is gonna be very important.

Krish Sailam: And that's gonna, you know, show in the quality of the relationship that we start to build. Um, the second thing is, you know, being able to really do a, a strong, you know, upload of the client needs and information, uh, to each of the teams and not just, you know, Hey, here's a dossier on the client, but. [00:29:00] Almost creating a bit of a QA process of what the client needs before any deliverable goes out to them.

Krish Sailam: So let's say there's an automated email of your weekly campaign stats. Um, can we run it through the dossier to make sure that it's edited and refined to their brand tone? Um, and it's easy for them to forward to their managers. Um, so things like that I think are, are gonna be important. They're minor changes, but I think they're gonna be impactful changes.

Krish Sailam: And I think that's something I wanna stress with AI is that at AI level is, it doesn't have to be like this giant, you know, big bang delivery moment. Uh, it can be a series of small incremental benefits that make the overall experience better. 

Patrick Patterson: Well, you know, I, it's an exciting moment. And, you know, and I know we're, we're more prime than most because of all the hard work that we've done over the past 3, 5, 15 years of data wrangling and system setup and all of those things.

Patrick Patterson: Um, [00:30:00] what, um, I'm just curious, and you know, what, what do you see as, you know, the, the, the, the biggest opportunity? You know, really moving forward to, to do all of those things, you know, is it, um, you know, and, and, and I, and I step back and I, you know, taking what you said at the, the beginning of this around empathy and, and, and putting yourself in the, in the client's shoes, you know, level was started.

Patrick Patterson: Literally started, because there were a few of us on the client side and we were like. Man, we don't like the way the agencies are working with us. 

Krish Sailam: Mm-hmm. 

Patrick Patterson: And there's gotta be a better way. Right. And like, literally things became our design principles for how we design the agency around like, hey, if a request takes five minutes, let's make it take five minutes, not three weeks.

Patrick Patterson: Right. And if, uh, you know. [00:31:00] If we're gonna make decisions, let's make them database decisions that, you know, are all driven from a unified source of truth. And, you know, these became the things, you know, 'cause I, I just remember, uh, 16 years ago sitting on the client side and being like, Hey, so like, why did you choose to make this decision?

Patrick Patterson: And they're like, well, there's a spreadsheet that's two and a half weeks old that had this data in it. I'm like, no. Like that was two and a half weeks ago. Yeah. Like a lot has changed since then. And like today, it's even worse than that. Right. So, you know, like if you put yourself in the client's shoes and you look at the needs of the, the 20, the, the the of a client in 2026, what, what are their biggest pain points right now and how can.

Patrick Patterson: Being better, faster, and cheaper, which is the out, you know, the thing, the outcome that we will get by implementing all of the things you just talked about. How, what, what problems are we gonna be solving? 

Krish Sailam: I think, you know, one of the biggest things, um, [00:32:00] as a client, like an agency does for a, a client is, is sort of act as a fiduciary and a real trusted, you know, partner that knows the ecosystem.

Krish Sailam: And I think that's gonna be more important than ever going into 2026 where there is a. Absolute, you know, massive onslaught of new shiny things that are coming down the pipe. And as a client, I'm sure their CMOs come to them and say, Hey, did you see this? And what are your thoughts on this? They need to be kind of able to go to the level agency and say, actually, what are your thoughts on this?

Krish Sailam: And how can I, you know, portray this to my CMO? I need something in the next five minutes. Um, so like earlier this morning. You know, uh, there's a hint at, uh, chat, GPT potentially releasing ads and it's gonna be a slightly different format than search ads and things like that. A lot of unknowns. But if we can have a strong POV around like, you know, how should that play into your media plan going into 2026?

Krish Sailam: I think that's gonna be beneficial. And in a lot of cases we're gonna have to [00:33:00] say you don't want to actually, uh, focus on these new channels until there is a good sense of measurement and attribution potentially. Uh, so you kind of wanna be able to lay out the pros and cons. Uh, and they also just weed through, uh, the shiny things and say, here are the core channels that are gonna be the, the right things for your I media mix.

Krish Sailam: Uh, we don't wanna stray away from those, but I'm actually gonna work with you to say we're gonna need an extra 10% or 20% of budget. We're testing new things that we think are gonna come down the pipe. Um, so I think making that case on a financial basis to the CFO of that client saying, you know, why these are important to test is, is gonna be important as well.

Krish Sailam: And then subsequently showing how the actual usage of these new tools and channels is changing is, is gonna be another thing. I think a lot of agencies can add value. 

Patrick Patterson: Yeah. You know, it, it comes down to the, the fundamental reasons why you hire an agency in the first place. Right. 

Krish Sailam: Yeah. 

Patrick Patterson: Um, and I've, I think I've talked about it on the podcast, you know, before, but like, [00:34:00] you know, the first being, we work across multiple platforms, so we have a point of view across multiple platforms.

Patrick Patterson: So if you just ask Google, um, they're great, but their solutions are gonna be Google focused. Mm-hmm. Right. Um, and then we work across multiple accounts. Which means that, you know, we can bring cross industry experience or even within that industry experience and know where the hurdles are, know where the the traps are, and you know, get you something that is going to be, uh, is, is going to be more risk, uh, risk neutral, right when we implement some of these tests.

Patrick Patterson: Um, and then the third is, is time. 

Krish Sailam: Mm-hmm. 

Patrick Patterson: You know, you, you never hire a consultant or an agency or, or whatever. If you have all the time in the world and you have a thousand people to do the work internally Right. You're just gonna do it. Yeah. Um, unless you're just hiring that consultant to verify something that you already [00:35:00] know, which is a stupid reason to hire a consultant, but like.

Patrick Patterson: So we are able, as an agency, because we have that mandate, because we've, we've automated, you know, 18,000 hours this year and we've done all of those things, we're able to have that time to assess 30 different AI creative tools, you know, use them on a daily basis in that time that we've ac allocated to for learning and.

Patrick Patterson: Figure out what would be best. You know, just like I'm spending the time figuring out, you know, op Claude Opus versus Open AI Codex versus Gemini three pro coding and what's, what is, which one is good at what, you know, that knowledge comes from trial and error and, and, and trying it. And when you're on the client side, maybe you don't have the resources, you might not have the funding, you might not have the, the team that's capable of doing that.

Patrick Patterson: So, yeah, you know, I think those three, those three fundamental reasons. Are literally the reasons that you would hire an agency back in 1950. 

Krish Sailam: Mm-hmm. 

Patrick Patterson: Right? Yeah. Versus [00:36:00] 2025. So, uh, it, you know, it, none of that has changed. It's just the output. The conversations that we're having are more focused around the newer tools, the newest tools versus, you know, what does the color purple taste like when color theory came out?

Krish Sailam: Right? Yeah. Yeah. 

Patrick Patterson: So, 

Krish Sailam: no, I think, 

Patrick Patterson: um, it's really interesting 

Krish Sailam: there, there's an important thing there. Um, one of the previous agencies I worked with, we used to do, uh, uh, demand side Platform, DSP. Bakeoffs. Uh, so comparing 1D SP versus another for the same exact campaign and look at statistical differences in terms of performance, those ultimately worked out into what we had were DSP scorecards.

Krish Sailam: Uh, and those scorecards were tremendously valuable for our clients to say, alright, how do I want to allocate my budgets in the programmatic space? And which DSP should I put a bet on and for which type of campaign? Um, so I think we have that opportunity going forward saying, you know, here's a creative tool that works really well.

Krish Sailam: Uh, here is a LLM that we think works really well for this specific use case. So knowing when and [00:37:00] where to use these tools is gonna be massively important guidance going forward. 'cause there are too many to choose from at the moment. 

Patrick Patterson: So let's, let's focus more on the macro here. Mm-hmm. Um, we've been talking a lot about level and, and your role, but let's, let's talk a little bit about the macro changes that we're seeing happen.

Patrick Patterson: Uh, a like, what are you super excited about? Uh, and you know, as specific as you can get. And, and then b. What are you afraid of, of, of, you know, what, what, what should we be, be watching out for? And I think you're, you're in a rare seat. You're kind of a unicorn to, to, to level in that you, you have all this background and advertising and understanding kind of the, the front line of an organization.

Patrick Patterson: And then you also have this, this view and this point of view of. Technology and AI and, and where it's going. So what are you excited [00:38:00] about? What are you afraid of? 

Krish Sailam: Um, it's a really good question. I think there's a few things that I'm really excited about. Uh, one of them being for the past like 10, 15 years, we've talked about, uh, the true customer experience journey and being able to get a lot of data signals from that.

Krish Sailam: Um, if it's coming from your website, your mobile app, whatever it might be, tying those all together and then creating the concept of the next best action. So what should I see next and which channel should that be? And being able to modulate that. Um, historically that's all been possible, but very, very difficult to implement at scale.

Krish Sailam: I think what I'm most excited about today is the ability to implement that at scale and actually have it work. So it's almost the concept of everyone who comes into your particular ecosystem would be assigned their own agent, and that starts to build an algorithm around what they should see, what they should experience, and um, as sending signals and actually [00:39:00] orchestrating in real time, uh, to deliver the best possible experience.

Krish Sailam: So when we think about, you know, making level the easiest company to work with, I think a lot of other brands will start to glom onto that concept and say. How can I make my experience even better? So let's say you're calling your cable company. Your general expectation is to be on hold. Uh, if you do call them, my hypothesis is in the next 12 to 24 months, the concept of hold will go away.

Krish Sailam: You will not experience that ever again. You'll be automatically assigned some sort of AI agent to talk to immediately. I'd say 80% of the cases will be able to solve through you talking to an agent going forward. So that's stuff I'm really excited about. The future of customer service is gonna be fantastic.

Krish Sailam: Um, the second thing, you know, I'm really excited about is like the, the scale and quality of these tools, the accessibility of these tools. If you had to compare, um, sort of the, you know, evolution of AI versus the [00:40:00] evolution of, um, you know, bitcoin. I think a lot of people made a ton of money on Bitcoin, but it was something that was incredibly hard to explain to your grandmother.

Krish Sailam: Uh, and you know, even to this day, like people just don't get how blockchain works. Um, but with AI it's incredibly approachable. When I look at my 4-year-old son interacting with ai, it's seamless. And that's beautiful and I think that's an impressive technology. Um, so I'm really excited about like just how people are adopting it in their day-to-day life, and a variety of ages is adopting it very quickly.

Krish Sailam: Uh, the stuff that I'm scared of is similar to what I'm excited about. I am, you know, really scared about what this means for the future of education for my sons. Um, you know, how do they continue to learn in a way and how do they continue to build relationships with other humans? Um, so I think there's a very big unknown around how this affects humanity at large in [00:41:00] terms of like, what does this mean for our relationships?

Krish Sailam: And, you know, you're already starting to see people build relationships with AI and synthetic relationships and, you know, is that gonna be considered healthy? Uh, I don't know. Uh, but it's definitely scary. The other part of things is, you know, um, the, the deep fake side of things. Uh, you know, I think there's gonna be a tremendous amount of misuse of those going forward, and that's gonna make us be very cautious around the types of media we consume.

Krish Sailam: Um, but hopefully, you know, it doesn't come to that, but. 

Patrick Patterson: Yeah, I mean there, and I think just yesterday, like three new models dropped. Um, the past 30 days has been bonkers. Mm-hmm. For models like absolutely bonkers. Right. Um. And if you haven't played around with the text to image generation, the image, the, the text to video generation, the image to video generation, the image edit generation, uh, uh, uh, capabilities.

Patrick Patterson: It is, it is scary [00:42:00] to see what is available on the front lines right now. And you're, you're a hundred percent right, like we are leading up to a moment. Where you can't trust anything that you see online. And you know, I think it's gonna be, we've talked about it on the podcast a little bit before, but like I think it's gonna be an interesting moment for us to deal with as a society.

Patrick Patterson: I think it will probably be exacerbated by things like elections. 

Krish Sailam: Mm-hmm. 

Patrick Patterson: And divisive issues as well. Right. And it will be interesting to see how we. How we cope with that. Uh, when, you know, just three months ago, you know, you could tell the difference between something that was AI generated and what, and, and what wasn't.

Patrick Patterson: And, and now we're at a point, like I, I have literally generated images of myself, shown them to my wife. 

Krish Sailam: Yep. 

Patrick Patterson: Who, if there's [00:43:00] anyone. Who knows me better than my wife. It might be my mother, I don't know, but like, show them to my wife and she can't, she can't tell a difference. 

Krish Sailam: Yeah. 

Patrick Patterson: Right. And like, and it's the worst it will ever be, so it's only gonna get better.

Patrick Patterson: I don't know how it can get better. Like, I don't Yeah. Full length, full length movies starring me, or no one wants to watch that, trust me. But, uh, you know, so it's, uh, so how do you know, what should we be, what should we be thinking about? And let's go again, macro as a society, uh, what should we be thinking about as the, as this technology starts to get realer and realer?

Krish Sailam: Gosh, that's a good one. Um, you know, 

Patrick Patterson: I only asked the good ones, 

Krish Sailam: Krish. Yeah, no, one of the first things comes to my mind is, uh, you know, I got a call from my mom, uh, the other day and she's like, were, were you in India recently at this event? And I was like. No, I wasn't. I'm like, why, why are you asking? She's like, well, someone sent me a picture of [00:44:00] you in India at this particular place.

Krish Sailam: And I was like, not me. Totally made up by ai. Um, you know, so I I, I think kind of educating your friends and family around how to know it's you and authentically you contacting them is gonna be important going forward. It sounds like something so simple and it's, it's absolutely not related to like, you know, business in the grand scheme of things, but I think we need to know, um.

Krish Sailam: How do you trust the ones closest to us? Uh, 

Patrick Patterson: yeah. When, when physicality being with someone is the only real form of authenticity. 

Krish Sailam: Yeah. 

Patrick Patterson: Uh, I believe I, I, I don't know if it's meta. Some, someone is working on a, a, a handshake, right? A digital handshake that you have to verify in, in person. 

Krish Sailam: Yeah. 

Patrick Patterson: Uh, and you know, I think that that's gonna be an interesting space.

Patrick Patterson: Over the next year? Um, uh, because we can't go to a, we can't go to a, [00:45:00] a spot where we're like, okay, well, I'm just, I can't trust anything. Right. I think that's the, that's the, the, the worst place in, uh, that we could go where it's just like, okay, well then, you know, I can't trust any phone call that I'm on.

Patrick Patterson: Yeah. I can't trust any zoom call that I'm on. I can't trust, you know, emails that I'm getting, you know, I start as a human with trust. Right. And, you know, and, and it's important to have that authenticity and, and to build that trust and it takes a lifetime to build it and then a moment to lose it. Right.

Patrick Patterson: Yeah. Uh, and so like. I choose to believe that people will make the right choices and that bad actors will be quickly, um, you know, uh, stamped up. But there is gonna be a period of time where it's just gonna be like, you're not gonna know. You're not gonna know what to do. 

Krish Sailam: Yeah. And I, I think we're there already, to be honest.

Krish Sailam: Like, if you look at kind of the hiring market today, and, and you know, Myles might be familiar with this, is that I would say 80 to 90% of the resumes we would receive as a company or any company receives, are edited or generated [00:46:00] by ai. And at that point, what is the point of the resume? 

Patrick Patterson: Yeah. 

Myles Biggs: Well, and there's services that you could sign up for.

Myles Biggs: That just auto apply for you and update your resumes to that job for you. And that's why on LinkedIn you'll see companies that post a job and in four hours there's already like 400 applicants to every single job. 

Krish Sailam: Yeah. It's an awful, awful process. And I think it's making it extremely difficult for a lot of people that are very talented to get back into the workforce.

Krish Sailam: And I think there's a huge opportunity for us to go backwards and to say, if I was really thinking about how to hire a person. You know, is just meeting them for coffee, a more efficient way of hiring people at this point versus trying to go through your a TS system and all these AI generated resumes, which is a completely broken SE system at this point.

Krish Sailam: Um, so I think, you know, kind of getting back to the basics of looking for that auten authenticity in that real world connection is, is probably how we're gonna have to hire people going forward. 

Patrick Patterson: Yeah, and I think [00:47:00] the, the issue you fall into though is how do you figure out who you should have coffee with?

Patrick Patterson: Right. And, and, and that's the hard, that's the hard thing for me. I don't know about you guys, but like, um, I have to say no a lot. Yeah. And if I'm gonna truly, you know, truly be efficient with my time and buy back my time and, and ensure that I'm, I'm working on the highest and best use that I can be working on, on every minute of every day.

Patrick Patterson: Uh, so who do you have coffee with? You know, and how do you solve that problem? You know, and that's where referrals. Networking events, meeting people in person. Mm-hmm. You know, again, going back in time. Right. I think those things are, they've never gone away, but I think they're becoming more and more important.

Patrick Patterson: You know, when I, when I look across some of the conversations I've had, it's been, you know, another CEO saying, Hey, you really should, you really should talk with this person. I don't know exactly [00:48:00] what's gonna be there for you. Um, but. You know, it might be, it might be serendipitous, and then it's like, great, well let, I'll, I'll jump on a call or we'll meet for coffee, or why don't you come down to the office or whatever.

Patrick Patterson: So, um, and those, those turn into things more than the cold email. Mm-hmm. The cold outreach on LinkedIn, that's just a way for me to block you. Um, or, you know, blindly submitting 300, uh, yeah. Resumes. Yeah. Across 300 jobs, right? 

Krish Sailam: Yeah. And I, I think there's something there, and some in terms of like the triangulation, like if someone comes to you and tries to, you know, get on your calendar, it's a little bit difficult.

Krish Sailam: But if you had three people recommend, be like, Hey, you, you really need to talk to Myles. He's really good. You, you're a hundred times more likely to pick up the phone and be like, all right, Myles, let's meet. And that'll probably be a pretty productive conversation. Is it gonna give you the, you know, diversity of the slate that you're looking for from a statistical standpoint?

Krish Sailam: Probably not. But is it gonna get someone in the seat? Sooner with the right skillset. Yeah. [00:49:00] Um, so there's, you know, pros and cons. Is it scalable? No. Uh, but I think, you know, until we find a better, uh, approach to these resumes, like I, I, I think resumes are useless at this point, 

Myles Biggs: but also to the point we've been making.

Myles Biggs: Is it scalable? No. But if we've scaled everything else with AI, then it's probably okay. It's not scalable. 'cause this is where you can spend the human time. Yeah. Um, and to your point about going backwards, you know. I'm doing air quotes for people that are listening, you know, quote unquote backwards. Uh, I've seen that as more of a trend.

Myles Biggs: You know, you see people online saying, you know, I'm fed up with 2025, I'm having a nineties Krishtmas, and they're bringing out VHS players. And you know, somebody sent me this thing called a tin can. That's a landline that they're getting for their kids. And their kid wants to talk to my kid, so my kid needs a tin can.

Myles Biggs: Uh, but that means they could call each other on this landline and talk through their quote unquote tin can, which is really going backwards. 

Krish Sailam: Yep. 

Myles Biggs: Um, but it makes me wonder, as you charted your career, you're like, it went from analog to [00:50:00] digital, to mobile to programmatic, to now AI is post ai, just back to analog.

Myles Biggs: And, and the cycle begins again, or what comes after this moment, do you think? 

Krish Sailam: That's a good question. And, you know, uh, I think it comes up when people ask me, like, if you, if you weren't doing your day job, what would you be doing? Like what would your, you know, you know, ultimate job be. And for me it would be being like a park ranger or a carpenter.

Krish Sailam: Uh, just being able to work with my hands, meet people in person, you know, live in a beautiful place. Um. That's where I'm, I'm finding, you know, joy and gratification and, but, uh, so I think there's gonna be a bunch of people that kind of move, um, towards those non corporate jobs and, and kind of go back to finding the elements that make them happy.

Krish Sailam: Uh, but you know, for the vast majority of people who have to work corporate jobs, um, I think you're gonna have to look for that balance of like, how do you have that human connection on a day-to-day basis? [00:51:00]

Myles Biggs: So we started, you know, about you and then get into level and then out to the macro. So I sort of want to combine all three.

Myles Biggs: Krish, uh, as we wrap this up and talk about what you think about the macro at level and if, if we think about three years in the future, um, what do you think is gonna be true? Three years. So we're talking, you know, 20 28, 20 29. Um, what's gonna be true at level? That's not today because of what's going on with AI and the role you're gonna be playing in that with AI level.

Krish Sailam: So I think there's gonna be a few things that come to fruition. And, and some of these might come to fruition sooner than 28. 28. Um, you know, first and foremost, I think, uh, we're gonna see a, a large improvement in terms of like how we interact with our clients. Like our nor our north star of just being the easiest agency to work with.

Krish Sailam: I think that's gonna come true. Um, and hopefully that comes through in our NPS surveys or just, you know, client testimonials, whatever it might be. Uh, but ultimately it's just client satisfaction and [00:52:00] work-life balance for our team. Um, the second thing is that, you know, I think we're gonna see an expansion of the number of.

Krish Sailam: Channels that level works with and an adoption of new technologies to get into those new channels. So if that, if we say, uh, the AI web browser is a new net new channel or dealing with a chat GPT agent is a new channel, or actually being able to market to agents, that's gonna be become a core capability of level going forward.

Krish Sailam: And this is a fairly large topic, is like, you know, going forward we spent a lot of time on how do we market to people. But going forward, we're gonna have to learn how to market to those people's agents and understand who's actually making the purchase. Um, so I think that's gonna be a, a fairly large capability for us.

Krish Sailam: The the other thing is, you know, the sort of manifestation of the concept I would call, like ai, CXM, it's a big annoying acronym, but it's, you know, how do you implement [00:53:00] AI throughout the entire customer experience management flow? From your initial marketing and sales to your customer service and have one true identity and one consistent experience that's automatically orchestrated and modulated and ultimately just becomes a really good experience for the customer.

Krish Sailam: Um, and I think that, you know, what that's gonna lead us to is, you know, potentially exploring how the new generation of lms, like the new world models affect media exposure. And that becomes the next generation of what we do. Uh, for AI and level. Um, so there's a lot to learn and I think, you know, underneath that, those sort of, uh, manifestations will be an organization that is incredibly well tuned at learning the next new thing.

Krish Sailam: But being able to become that fiduciary to our clients and having that be a, a very strong component of what we're delivering going forward is just a constantly learning organization. 

Patrick Patterson: Uh, I love that. Um, if you [00:54:00] do, if you do half of that. Uh, half of that work, uh, Krish, uh, you'll be wildly successful here, um, and we'll be wildly successful because of it.

Patrick Patterson: So, um, you know, I just wanna say I'm, I'm very excited to have you on the team. Uh, difficult decision for me to make. As, uh, you know, to as, as, as someone who is a thought leader in the space and has a lot of opinions to make the, make the decision to, Hey, we need to bring in someone smarter than me and better than me.

Patrick Patterson: And, uh, and, and, and can and can focus a hundred percent of their time on it. Uh, so I am just. Super excited for what you're gonna bring to the organization. Um, and I've already brought in, in just a short amount of time, so welcome to the team. 

Krish Sailam: Thank you. 

Patrick Patterson: Thank you so much for, for accepting the, the, the, the crazy invitation to join our team.

Patrick Patterson: And I'm looking forward to, to having you on here, uh, regularly to update us on how [00:55:00] you have improved the organization and improved our clients because of that. 

Krish Sailam: I'm looking forward to it. And I think, you know, the, think that the biggest thing is like our, our team is gonna be the ones that are actually making this stuff come true.

Krish Sailam: Um, so, you know, I can't thank everyone in the organization that level for being open to thinking about ai, but being willing to test it and implement it. Um, I was massively surprised in terms of like, how much is going on here and how much is being tested. Uh, so I think the organization itself is off to a strong start.

Krish Sailam: Um. And yeah, I'm looking forward to driving results here. 

Myles Biggs: Thanks for hanging with us and make sure you hit that subscribe button on the podcast so you never miss an episode of Good Enough isn't. Until next time, everyone, we'll talk to you later.