Alex Roy Rajan Podcast Transcript
Alex Roy Rajan joins host Brian Thomas on The Digital Executive Podcast.
Brian Thomas: Welcome to the Coruzant Technologies home of The Digital Executive podcast.
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Welcome to The Digital Executive. Today’s guest is Alex Roy Rajan. Alex Roy Rajan is the founder and CEO of SalesboxAI, a go-to-market advertising platform designed to drive pipeline and revenue growth through AI powered engagement.
With a vision to transform how companies detect, demand and orchestrate buying groups, he built sales box AI to automate pipeline creation and make revenue generation smarter, faster, and more precise. His approach emphasizes practical AI innovation, measurable outcomes, and scalable systems that empower teams to operate with greater clarity and confidence across dynamic, fast evolving markets.
Well, good afternoon, Alex. Welcome to the show.
Alex Rajan: Hello.
Brian Thomas: Hi, Alex. I appreciate you again, jumping on, making the time. I know you’re hailing outta New York today. I’m in Kansas City, so just an hour apart to get this podcast going. And if you don’t mind, Alex, jumping into your first question. You founded SalesboxAI to automate a unified AI go-to-market platform, bringing together advertising lead generation, first party In-depth intent data, and intelligent orchestration.
What was fundamentally broken in traditional go-to-market strategies that pushed you to build this platform?
Alex Rajan: That’s a great question. So back in the day when I started Sales Box ai. The core realization was that the traditional go-to-market system was just inefficient. It was actually structurally fragmented, so there were fundamentally three things which were broken.
Firstly, it was a lead centric model. So, instead of what we call as an account centric model with buying groups, it was very lead centric back in the day, and signals were not actionable. So, while we had signals captured, it was very difficult to operationalize. Thirdly, the execution was very manual.
So what I mean by that is, one had to export lists, upload it to different platforms. You had to manually launch campaigns. It had to be manually assigned to SDR teams who would then manually call. So this actually slowed companies down. And where, you know, speed was the name of the game. So, the goal of SalesboxAI was to provide, to move from a campaign driven to a signal driven platform where you can execute much faster.
Brian Thomas: Really like that. Moving that from that campaign driven model to that. Signal driven model. I really appreciate that. And you talked about that there was a big need in the market. It was structurally fragmented. You talked about the three things that it was and needed to be improved was, you know, it was a lead centric model.
The signals were not actionable, and execution obviously was very manual. And I really appreciate those insights and how you’re making this a better platform for everybody. Alex, SalesboxAI focuses on a unified platform for a complete go-to-market using AI agents. How does AI change the way companies go to market?
I understand your AI agents work together. Can you explain that concept?
Alex Rajan: Sure. Yeah. So, it’s all about turning data into action. So, SalesboxAI agents help you orchestrate a signal driven and proactive approach to reaching prospects at the right time with the right message compared to the traditional reactive and manual campaign based approach.
So you with SalesboxAI, you can have a set of specialized agents. So for example, you have an intent agent that’s listening for intent signals. You have an outreach agent that’s crafting personalized outreach messages. You have an advertising agent that allocates ad spend and decides whom to be showing the ads to.
And of course you have an orchestration agent that is coordinating the actions between these agents. So each of these agents have give a certain level of, have a certain level of controlled autonomy that you’re able to provide, and they’re collaborative. So the the net result of this is that, you know, you have an always on signal based, signal driven revenue engine that’s running for you.
Brian Thomas: Thank you. I appreciate that. And I like how you kind of broke apart the various agents. You know, there, obviously there’s an agent level orchestration that goes on, but you’re turning this data into action with your agents. By them helping with a proactive and action-based approach, they’re listening collaborative.
Again, it’s an orchestrated orchestration model of multiple agents doing various tasks to maximize the effort and really dial in that sale. So, I appreciate that. Alex. A unified AI go-to mar market platform sounds powerful, but companies fear losing personalization. How do you balance automation with meaningful human-centric engagement?
Alex Rajan: That’s a great question, right? So when we talk about human-centric engagement. We have to unpack this a little bit, right? So being human is not just about biology, right? It’s about, we have to look at what the qualities are. So you have empathy, you have reflection, you have creativity moral reasoning.
So, it’s about, you know, how do we help marketers amplify those human traits using an agent? So, so that you know, the, the prospect feels understood they feel then they’re being helped and not sold to et cetera. So traditionally, we have these different personas and we optimize for scale and relevance less.
Whereas with the agents, we are able to kind of amplify those very human traits that you, that we talked about and do it exactly like how the marketer really wishes to, but never had the resources to do.
Brian Thomas: That’s awesome. And it is important that we keep that, and I know we always have humans in the loop, but AI is getting better as far as these agents to really mimic or as, as close as we can get that human-centric engagement at the, uh, agent level.
But we do know that agents now can understand the customer sentiment. Obviously as you mentioned, providing that listening, that empathy, that relevance so that it is relatable to the customer. So I appreciate that. And Alex, as we look ahead here in our last question, how do you see a unified AI native go to market platform reshaping revenue organizations over the next five years?
And what skills will modern chief revenue officers and chief marketing officers need to stay competitive?
Alex Rajan: Sure. Yeah. Uh, the biggest change is that revenue teams operate across, today They operate across disconnected tools, whereas in the future, you have a unified AI native platform that becomes a single revenue brain right for the company, and it’s actually ingesting the signals across the entire customer lifecycle.
It’s predicting opportunities and risks. Orchestrating actions automatically and learning continuously from outcomes. So what this means for CMOs and CROs, the leaders today, is that how do you transition from becoming an AI assisted leader to an AI native leader? As I would like to mention it, and it all starts with AI literacy.
So, it’s not about technical AI literacy, but it’s more strategic. Leaders don’t need to build models, right? But they must understand and they must have a way to question the AI outputs themselves, which means they need to understand how AI makes predictions. They need to understand what are the limitations, what does bias mean when, and moreover, most important when human judgment overrides the AI, right?
So, I would bucket this under, the AI literacy bucket. And then, as leaders, we need to be really good at at orchestrating AI agents and humans together, so, and workflows. So, there’s like three parts to it. How do you, what is automated? What stays human? What are the escalation points?
How do you have governance and control around it? So, our skills around this area needs to improve. And lastly, I would say the decision velocity as a leader. So, AI, as you are aware, compresses time. And so you need to, to stay competitive, you need to make those decisions much faster. There’s that.
Learning loop, you need to be faster in learning and adapting. So yeah, so as, as leaders, you need to be able to stay always on and adapt based on and take decisions faster. I would say.
Brian Thomas: Thank you. I appreciate that. Absolutely. Leaders need to be ready to adapt, make decisions faster. Of course.
And you talked about, current rev revenue streams right across the workforce. Within companies. They’re using different systems, disparate systems. However, we know in the future agents will be able to. With each other and work and share this information to be more efficient and make better decisions.
Of course moving from that AI assisted to that AI native environment, that’s you talked about that. And leaders don’t need to just build models but really understand the AI language and learning to orchestrate these AI systems. And I think that’s really important. I, and I appreciate that, Alex.
It was such a pleasure having you on today, and I look forward to speaking with you real soon.
Alex Rajan: Yeah, I mean it. It was an absolute pleasure to be on the show and thank you.
Brian Thomas: Bye for now.
Alex Roy Rajan Podcast Transcript. Listen to the audio on the guest’s Podcast Page.
