By Day 3 of an event as big as Knowledge 26, there are a few constants. People have replaced business casual with "exceedingly casual." Booth conversations shift from "let's talk" to "let's act." And the presentations begin to close circles, focusing on how the technology impacts users, not just projections.
That said, K26 was never going to be a conference built around hypotheticals or what AI may someday become. The language throughout the week was operational and yet, decidedly human.
The Day 3 keynote summarized that perspective thoroughly in an unscripted conversation featuring ServiceNow's extremely entertaining vice chair, Nick Tzitzon, actor, DJ, and activist, Sir Idris Elba, and Dr. Rumman Chowdhury, CEO and Co-Founder, Humane Intelligence.
The overarching theme? AI transformation is still fundamentally about people.
That may sound obvious on the surface. (Maybe even a little trite.) But after several days immersed in deeply technical conversations around agents, orchestration, automation, and intelligent workflows, the reminder carried weight. Because AI does not transform organizations alone. It transforms how people transform organizations.
ServiceNow’s larger vision for enterprise AI is evolving toward environments in which intelligence is embedded directly into operational workflows, where systems can surface context automatically, reduce repetitive work, assist decision-making, and help organizations move with greater speed and precision.
For companies navigating operational complexity, that opportunity is enormous. But sitting underneath every AI roadmap is a quieter question that organizations are still trying to answer:
How do you bring people along with the transformation?
That topic surfaced repeatedly throughout this keynote. Chowdhury spoke openly about the anxiety many workers feel as AI rapidly changes the nature of work, particularly for employees who have spent years building expertise and stability around systems now being disrupted.
At CoreX, this is something we see regularly in the world of implementation and optimization. AI discussions inside conference halls often move quickly toward capability and innovation, but inside organizations themselves, transformation happens much more personally. Employees are trying to understand how these technologies fit into their workflows, their responsibilities, and ultimately their futures.
That is why successful AI adoption cannot simply be treated as a deployment exercise. It requires communication, operational clarity, governance, education, and above all, trust.
The organizations creating meaningful progress are the ones introducing AI intentionally, helping employees understand the value behind it, and creating environments where people feel empowered by the technology rather than threatened by it.
One of the more compelling themes throughout the session was the idea that AI should not simply be viewed as a tool for efficiency alone. Chowdhury described AI as something that can help people move beyond repetitive operational burdens and spend more energy on creativity, mastery, curiosity, and higher-value contribution.
The long-term opportunity surrounding enterprise AI is about creating operational ecosystems in which employees can focus more deeply on strategic thinking, customer experience, collaboration, innovation, and problem-solving while intelligent systems support the operational layers surrounding that work.
The organizations seeing the strongest results right now are often approaching AI as a collaborative layer inside the enterprise rather than a replacement layer.
Sure, AI can help analysts surface information faster. And it can help support teams resolve issues more intelligently. It can even help security teams reduce alert fatigue. But the systems still rely on human judgment, human accountability, and human direction.
As the conversation progressed, human impact only became more pronounced. AI can generate enormous volumes of information, recommendations, and content almost instantly. But human beings still determine what is meaningful, ethical, strategically useful, creatively original, or operationally responsible.
This is one of the most important realities shaping how we think about AI transformation within CoreX ServiceNow implementations. What we do is help organizations operationalize AI responsibly and sustainably across the enterprise.
That means understanding workflows deeply. It means aligning technology with business objectives. It means creating governance structures that support growth without creating chaos. And it means ensuring employees understand both how these systems function and why they matter.
Technology alone cannot solve those challenges. The work CoreX does requires partnership, empathy, and a willingness to treat AI transformation as both a technical evolution and a human one.
People establish values, culture, responsibility, trust, and ultimately, whether transformation succeeds or stalls. And this reinforces how transformative the Agentic Era truly is. We are entering a time where organizations have access to extraordinary new capabilities that can reshape operations, accelerate service delivery, strengthen visibility, and unlock entirely new ways of working.
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Were you at Knowledge 26? If so, we'd love to hear your take on the event, the takeaways, and the places you want AI to take your business. Drop us a line and let's start a very human conversation about what's next.