Kyle James
Director & Principal Analyst
Kyle is a seasoned technology problem solver and product management leader with over two decades of experience. He has founded two successful startups, nuCloud and .eduGuru, both of which exited, and was among the earliest team members at HubSpot (NASDAQ:HUBS) and OneScreen.ai. Throughout his career, Kyle has been instrumental in building and scaling innovative solutions across various industries, driving both product and business growth. His contributions have helped organizations navigate complex challenges, launching products that resonate with users and generate meaningful value. While he’s a self-professed tech geek, Kyle’s true passion lies in helping people solve problems through technology. His approach is grounded in a belief that there’s always a better way to do things, and he thrives on challenging the status quo. Whether leading product development or mentoring teams, Kyle is deeply focused on simplifying workflows and creating solutions that deliver measurable impact. His hands-on leadership style fosters collaboration, empowering teams to push boundaries and achieve successful outcomes. Obsessed with knowledge and driven to share what he learns, Kyle enjoys troubleshooting, problem-solving, and improving processes to create lasting impact. His relentless curiosity and commitment to continuous learning ensure that he is always evolving, finding new ways to drive innovation and inspire those around him. He is dedicated to the idea that technology, when applied thoughtfully, can transform how we work and live.

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From Data Abundance to Decision Scarcity in Sales Intelligence

Sales teams have more data and more recommendations than ever. What they have less of is confidence in what to do next. Across GTM organizations, a consistent pattern is emerging: sales intelligence systems are excellent at surfacing signals, but far less effective at reducing decisions. The result is not ignorance, but hesitation. Not a lack of insight, but analysis paralysis. Sales intelligence has largely solved for visibility. It has not yet solved for conviction. Why this is happening now Over the past decade, sales intelligence vendors have steadily filled in every layer of the data stack. Conversation intelligence platforms like Gong introduced a powerful form of judgment scaffolding. They surface deal risk, coaching gaps, and behavioral signals that were previously invisible. For many teams, Gong […]

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Are GTM Teams Vibe Coding Before They Commit to Platforms Like Gainsight?

In many cases, GTM software underdelivers not because it lacks capability, but because teams commit to it before they are operationally ready to absorb it.  That observation has been coming up with increasing frequency in recent conversations with customer success leaders, RevOps teams, and GTM executives. Not as a complaint about specific vendors, and not as a rejection of platforms altogether, but as a quieter shift in when buying decisions are made.  Instead of moving directly from problem recognition to platform purchase, some teams are inserting a new step in between: building lightweight, AI-assisted internal tools to pressure-test workflows before committing to a full solution.  What’s emerging looks less like “build versus buy” and more like “build to get ready.”  Let’s Discuss a Recent Example  This signal surfaced during a recent episode of the Prompted […]

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Community, Purpose, and the Time AI Gives Back

If you had ten more hours a week starting tomorrow, what would you do with them? Why not start now? A Hundred-Year-Old Warning About the Future of Work In 1930, right in the middle of the Great Depression, John Maynard Keynes, often described as the father of Keynesian economics, wrote an essay called Economic Possibilities for Our Grandchildren. It was an odd time to be thinking optimistically about the future. Jobs were disappearing, economies were struggling, and uncertainty was everywhere. Instead of focusing on short-term recovery, Keynes stepped back and asked a much bigger question. What happens to society when technological progress reduces the need for human labor? Keynes believed productivity would keep improving and that, over time, humanity would largely solve what he called the […]

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Solution Spotlight: Verto and the AI Thought Partner — Empowering the Accidental Project Manager in a Do-More-With-Less Era

Across the UK public sector, local councils, and the NHS, organizations are facing increasing pressure to deliver more complex programs under tighter budgets. Transformation initiatives are expanding, transparency requirements are growing, and expectations for measurable outcomes have never been higher. Yet many of the individuals responsible for driving this work are not formally trained project managers. They are policy leaders, clinicians, service owners, and operations specialists who were chosen because they understand the work better than anyone. The team at Verto has begun to commonly refer to these individuals as accidental project managers. The term does not imply a lack of capability; they are often the most knowledgeable and trusted people available. What they typically lack are the structured frameworks, repeatable workflows, and strategic lenses […]

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The Hidden Cost of AI in Marketing: When Thinking Gets Outsourced

Why critical thinking is becoming marketing’s most valuable skill AI has changed marketing faster than almost any technology before it. In a matter of months, tools like ChatGPT, Copilot, and Claude have made it possible to generate campaigns, content, ads, and messaging variations at a speed that would have been unthinkable just a few years ago. For many teams under pressure to do more with less, that speed feels like a lifeline. But there’s a quieter question emerging beneath the hype: If marketing is getting easier to execute, why does so much of it feel increasingly forgettable? That tension sat at the center of a recent GTM Innovators conversation with Joey Lai, B2B Marketing Director at Mastercard. What followed wasn’t an anti-AI rant, but something […]

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Zero Trust in the Age of AI: Why Enterprise Security Principles Are Becoming the Blueprint for Digital Trust

As enterprises wrestle with how to adopt AI responsibly, they’re rediscovering the same lesson cybersecurity mastered years ago: trust must be earned, verified, and continuously monitored.  The Trust Recession in Technology  I recently had the opportunity to sit down with John Armstrong, Senior Product Marketing Manager for Application & Network Security at Ivanti. Our conversation started with Ivanti’s approach to cybersecurity and the growing importance of Zero Trust. But as these conversations often do, it quickly expanded. We found ourselves talking not only about the challenges of securing networks but also about the growing challenge of trusting artificial intelligence.  That connection between cybersecurity and AI is not accidental. Both domains are struggling with the same fundamental problem: trust. Cybersecurity spent decades building systems to verify […]