When AI shows up… but the work doesn’t change
That was the quiet contradiction floating around ServiceNow Knowledge 2026. There is a gap between what companies have and what they’re actually getting from it. AI is already inside ServiceNow. The licenses are bought, the capabilities exist, and the ambition is there. However, many organizations are still operating like nothing fundamentally changed.
What emerged throughout the event is that workflows remain reactive, fragmented, and often manually driven. AI hasn’t fully made the leap into how work actually happens. Use cases are scattered, and operations are optimized in silos rather than orchestrated end-to-end. So the challenge isn’t access to AI, but it’s execution at scale.
That’s the shift Knowledge 2026 is pointing toward:
- It became clear that automation is no longer the ambition. The real race is to build autonomous operations that can sense, decide, and act without waiting for humans to take every step forward.
- Everyone talked about agents. But the real conversation at Knowledge was about coordination: how hundreds of agents, workflows, humans, and systems operate together without creating chaos and how to make agents that work as part of the team.
- Governance is no longer a control mechanism after deployment; it’s the foundation that allows AI to operate safely at scale from day one. The companies moving fastest are the ones building orchestration layers that turn AI into execution
This is where Globant comes in
At Globant, we’re approaching ServiceNow with a different lens: AI shouldn’t sit on top of workflows, it should reshape them. We’re helping organizations turn ServiceNow into an agentic, outcome-driven platform, starting with core domains like ITSM, HR, and Customer Service. The outcome is faster processes and systems that can decide, adapt, and improve over time.
“The message at Knowledge was clear: companies are moving from AI experimentation to autonomous agentic workflows. The challenge now is balancing governance with speed, combining platforms like ServiceNow’s AI Control Tower with AI-powered delivery models like Globant’s AI Pods to drive faster, outcome-focused execution.”
Martin Szenig, VP of Technology at Globant
One of the most important announcements at ServiceNow Knowledge 2026 was the launch of ServiceNow’s AI Control Tower, a platform designed to help enterprises bring more structure, visibility, and accountability to AI adoption at scale. As organizations deploy growing numbers of AI agents, copilots, and automations across different systems, one of the biggest challenges becomes orchestration: understanding what AI is running, where it’s creating value, and how it aligns with governance and business objectives.
What makes this especially relevant is its focus on measurable outcomes. Beyond monitoring activity, the platform is designed to help companies evaluate how AI initiatives impact operations, including productivity gains, faster resolution times, and operational efficiency. At a time when many enterprises are struggling to connect AI investment with business value, that level of visibility and orchestration becomes critical and game-changing for scaling AI effectively.
From potential to performance
One of the strongest themes we brought to Knowledge this year is simple:
execution is everything and strategy without adoption is just unrealized value. Our approach focuses on making AI tangible, quickly:
- Prioritizing the right use cases tied to outcomes
- Activating ServiceNow AI with real operational impact
- Designing intelligent agents that people actually use
Through our AI Pods model, we embed cross-functional teams that rapidly prototype, deploy, and evolve AI solutions, accelerating the shift from reactive support to proactive, self-evolving operations. As a result, organizations have less manual effort, faster resolution, and smarter operations at scale.
What comes next
If there’s one takeaway from Knowledge 2026, it’s this: AI in ServiceNow is the baseline for what comes next. The real differentiator now is how fast organizations can operationalize it across teams, workflows, and experiences. That’s where transformation actually happens. Interested in exploring how AI can transform your ServiceNow Operations? Connect with our experts at the ServiceNow Studio and let’s build what’s next together.
