Notes from Knowledge 2025: Agentic AI transforms enterprise

If you are on the floor at Knowledge 2025 this week, the one resounding lesson is that the transition to real-time, intelligent enterprise operations is already underway. We’re seeing companies (such as the largest pharmaceutical manufacturer in Mexico) uniquely and thoughtfully implement agentic AI solutions that move beyond experimentation into scalable, production-ready use cases. 

Bill McDermott's vision of a "dynamicism of real-time" isn't just a compelling sales masterclass (though he is quite a showman). Instead, it's exactly what we're seeing with our clients today.

The AI revolution isn't about replacing humans. It's about enabling them to work smarter and focus on higher-value activities. As Bill McDermott said, "AI is not artificial intelligence without human intelligence. Humans are moving up the chain because the thinking machines handle the complexity ... and the chaos."

ServiceNow’s Role in AI Governance

As enterprises adopt AI agents from multiple vendors, ServiceNow provides a unified platform to govern workflows, coordinate actions, and ensure alignment across departments. The platform part of that story is sincerely important, as we know that the power of AI relies on its ability to connect data, and, consequently, the volume of data agents are crawling. And ServiceNow’s architecture origin story is uniquely suited to act as the operational backbone for enterprise AI deployments.

Interest in AI governance and orchestration is growing across regions and sectors. Organizations are recognizing the urgency to integrate agentic AI into core processes. Not as a future aspiration, but rather as a current imperative.

Real Results, Not Just Promises

Those bold promises can be hard to imagine, so let me share an example. We recently participated in a pilot with ServiceNow, NVIDIA, and a luxury car manufacturer. CoreX served as the implementer in the operational technology space. 

We've implemented OT on part of the manufacturer’s assembly line, where environmental data is gathered. When issues occur, NVIDIA's LLM is queried, and the next set of actions is provided to shop floor workers to get the line back up.

We call it OT rapid response. It's just one example of how we're helping customers understand how to start using AI within their service environments.

The Enterprise AI Journey Has Started

What I want business leaders to understand is simple: agentic AI is real. We're seeing genuine interest from customers across industries, and we're implementing real use cases that deliver measurable value.

We’re so committed to growth, we're putting our resources behind this belief. We recently opened an agent AI Lab in Latin America with 30 people focused 100% on building use cases and agent architectures for our customers. 

The real-time enterprise is already here. The question isn't whether to join this revolution, but how quickly you can adapt to lead it.

--

#KNOW2025 is still going strong!  Stay tuned to CoreX Insights for regular updates from Las Vegas!