Episode Summary
Nick Malone, Chief Revenue Officer at XTM, explains what separates successful AI-native companies from organizations simply adopting new tools. He explores value-led AI, executive leadership, experimentation, data, and practical workflows that improve productivity. Nick shows why companies that connect AI to measurable outcomes while keeping humans at the core can turn incremental gains into meaningful competitive advantage.
Highlights
Introduction
YouTube Short
Episode Q&A Videos
2:12 | Build an AI-Native Culture That Accelerates Business Performance
“Being an AI-native company, you must go and dig deep and experiment and understand in what ways you can use the AI capabilities today to improve operational performance, possibly reduce costs, definitely expand productivity.”
2:51 | Proving AI Value Through Value-Led Conversations and Outcomes
“For any company that's providing an AI offering that is going to drive value, I think it has to be a value-led conversation. What is the outcome? Let me prove it to you.”
4:55 | Creating an AI-Ready Workforce Through Executive-Led Experimentation
“In my mind, the C-suite today should be using AI and be able to demonstrate that and lead by example within an organization. Within the parameters of that guardrail, we really want to promote the experimentation.”
3:44 | Turning AI Into Enterprise Workflows That Save Teams Hours
“How do you string an entire workflow together which engages multiple agents across a workflow that maybe touches different departments and strings it all together to get an outcome? When you get to building enterprise-grade multifunctional workflows that are touching multiple agents, there's a little bit more to it than the experimentation.”
3:34 | Getting Salespeople Productive Faster With Real-Time AI Guidance
“The quicker we're able to get our salespeople up to speed, the more productive and valuable it is. We're in a pretty complex industry. By having the in-call nudging, we have the opportunity to dramatically reduce the number of times difficulties happens, and therefore get them up to speed more quickly.”
2:21 | Balance AI Speed and Productivity With Human Quality Control
“The more data you have connected in, the richer your output. But again, we've all heard that artificial intelligence can hallucinate. There is a bit of that caution; do check the data. I think that's very prudent.”
2:07 | Beat the Do-Nothing Competitor Through Practical AI Experimentation
“As long as you've got a product that you can demonstrate, firstly the value, secondly the ability to deliver on the promise, and you can switch it on, there's never been a better time to overcome do nothing because they're mandated to do something.”
Key Takeaways
Value-Led AI Adoption
Connect AI investments directly to measurable outcomes in cost, productivity, and revenue performance.
Executive-Led Experimentation
Leaders should actively demonstrate AI use and create a culture where teams continuously test new applications.
Practical Productivity Gains
Apply AI to specific workflows that save time, improve personalization, and strengthen revenue team performance.
About Nick
Nick Malone
Nick Malone is Chief Revenue Officer at XTM, where he leads global revenue strategy and helps organizations adapt to an AI-driven future. Throughout his career, he has focused on building high-performing commercial teams, driving sustainable growth, and helping businesses embrace change. In this conversation, Nick shares practical insights on what it really means to become an AI-native company, from hiring adaptable talent and empowering self-sufficient teams to using AI as a competitive advantage across sales, marketing, engineering, and customer success.
From the Guest
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Full Episode Article
Title: "How to Become a Successful AI-Native Company"
This article is based on an interview with Nick Malone, Chief Revenue Officer at XTM
Introduction
AI adoption becomes strategically meaningful when it changes measurable business outcomes, not simply when employees gain access to new tools. That distinction is central to Nick Malone’s perspective as Chief Revenue Officer at XTM. With nearly three decades of commercial leadership experience across multiple countries and business functions, Nick has seen how companies adapt to major changes while continuing to pursue growth.
His perspective on becoming AI-native centers on experimentation, measurable value, executive leadership, trusted data, and practical applications. Instead of treating AI as one enormous transformation initiative, leaders can identify smaller opportunities that improve productivity, reduce costs, accelerate revenue activities, and ultimately compound into larger gains.
Make AI a Value-Led Business Conversation
AI initiatives become easier to support when executives can clearly explain the business outcome. Nick believes this should be the starting point for AI adoption. “For any company that’s providing an AI offering that is going to drive value, I think it has to be a value-led conversation. What is the outcome? Let me prove it to you.” This shifts the discussion away from technology itself and toward measurable results. For executives, that means evaluating AI based on its ability to improve productivity, reduce costs, accelerate execution, or create stronger business outcomes.
XTM provides a clear example of this approach. Nick explains that its AI module can potentially reduce linguistic services operating costs by 50 to 80 percent, creating a measurable financial case for adoption. Even with compelling economics, customers still want evidence before making larger commitments. As Nick says, “They want to trust but verify. That’s great. Let’s do a trial.” This creates a practical path for B2B leaders. Define the expected outcome, demonstrate the value, verify that the technology delivers, and then scale the applications that produce meaningful results.
Build AI Fluency From the C-Suite Down
AI adoption also requires leaders to participate directly rather than leaving experimentation entirely to technical teams. Nick believes executives should understand AI through practical experience and demonstrate its possibilities throughout the organization. “In my mind, the C-suite today should be using AI and be able to demonstrate that and lead by example within an organization.” This expectation changes AI fluency from an optional technical skill into a leadership capability. Executives who understand the technology firsthand are better positioned to identify opportunities, evaluate investments, and encourage responsible adoption across their teams.
XTM applied this philosophy while hiring its new chief marketing officer. Candidates were not simply asked to explain their views on AI. They had to demonstrate what they could actually accomplish with it. “Show us. Let’s do an experiment right now, live. Share your screen. Show us what you’ve been working on.” XTM also encourages employees to share AI use cases while operating within clear data and security guardrails. Together, leadership participation and employee experimentation create an environment where AI learning becomes part of how the organization continuously improves.
Turn AI Into Revenue Productivity
Revenue workflows offer practical opportunities to turn AI into measurable productivity. Nick uses AI to prepare for customer meetings by combining CRM information, financial data, customer support information, and external research. Previously, an account executive might have spent significant time manually assembling that briefing. AI now handles much of that work before Nick speaks with the account executive. As he explains, “They’ve wasted zero time briefing me at that point.” The conversation can then focus on validating the information and identifying anything particularly important for the upcoming customer meeting.
XTM is applying the same principle to competitive enablement. Rather than relying exclusively on static battle cards, AI can personalize competitive information around a particular customer and situation. Nick says, “It’s increasing the personalization with negligible time in a repeatable fashion that helps us be very specific about how we compete out in the marketplace.” XTM is also experimenting with real-time guidance that surfaces answers during sales conversations. Together, these applications can save preparation time, improve personalization, accelerate seller development, and help revenue teams access useful knowledge when they need it.
Conclusion
The opportunity for executives is not simply to deploy more AI. It is to build a repeatable process for finding where AI creates value, testing those applications, measuring the results, and scaling what works. Nick describes the most consistent competitor throughout his sales career as “do nothing,” and AI is making that position increasingly difficult to defend.
Successful AI-native companies do not need one enormous breakthrough. They can create competitive advantage through smaller improvements that compound across the organization. When leadership supports experimentation and ties it to measurable outcomes, those marginal gains can become a meaningful engine for productivity, revenue performance, and sustainable growth.
ELEVATING CONTENT MARKETING STANDARDS RAISES A CRUCIAL QUESTION:
Why shouldn’t the very act of creating thought leadership content also spark new conversations with in-pipeline deals, top prospects, and high-priority customers for revenue expansion? Or serve as the cornerstone for learning and applying voice-of-customer strategies? That’s the power of ABM Podcasting—engaging B2B buyers and customers in meaningful conversations that uncover essential go-to-market insights, support long sales cycles, reinforce your market perspective, build peer-level trust, and dismantle objections that kill deals.
Steven MacDonald
Steven MacDonald is the founder of Content Strategies, CEO of a MarTech SaaS Company, fractional CMO consulting with leading B2B companies and former Director of Strategy and Client Service at top ten digital marketing agencies.
Steven MacDonald
Steven MacDonald is the founder of Content Strategies, CEO of a MarTech SaaS Company, fractional CMO consulting with leading B2B companies and former Director of Strategy and Client Service at top ten digital marketing agencies.
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