After Knowledge 2026: A New Reality for Enterprise AI

Karol’s perspective

Back from ServiceNow Knowledge 2026, and one thing is clear: we are entering a completely new phase of enterprise technology. AI is no longer an innovation discussed in isolated use cases. It is becoming a native layer of every workflow, every platform, every business decision. Here are my 5 biggest takeaways from this year’s conference.

1. AI is not an add-on

A few years ago, AI in ServiceNow meant Predictive Intelligence and a handful of GenAI capabilities. Today, we are talking about hundreds of AI skills, AI agents, agentic workflows, orchestration layers and AI-native integrations across enterprise platforms. The biggest realization? Every new workflow introduced today will eventually become AI-augmented. AI is no longer something companies “add later.” It is becoming a default architectural layer of enterprise operations.

2. Data governance matters

As AI adoption accelerates, data quality becomes critical. AI agents exchange information at a speed and scale impossible to govern manually. Integrations between platforms like ServiceNow, SAP, Salesforce or Workday will increasingly involve AI talking to AI. Error handling alone will not be enough anymore. Organizations will need strong data governance, ownership models and architectural discipline from the very beginning. The companies that succeed with AI will not necessarily be those with the most tools, but those with the cleanest and best-governed data.

3. AI is democratizing software creation

We used to talk about Generative AI because AI was generating content. What we are seeing now is something bigger: AI is enabling people to create entirely new things. Employees can build workflows, design interfaces, generate reports, analyze data and prototype applications without traditional technical specialization. This reminds me of what happened when smartphones put cameras in everyone’s pocket. The volume of digital creation exploded. The same is now happening in enterprise software. More ideas, more automation and more innovation will be created in the next few years than ever before.

4. AI Control Tower is a must

One of the most interesting announcements for me was AI Control Tower. The best way to describe it is simple: it is becoming a CMDB for AI. As organizations adopt more agents, automations and AI-generated assets, they will need visibility into what access it has, which data is being exchanged, what risks exist and how AI systems interact with each other. Traditional governance methods will simply not scale to the speed of AI-driven operations. Enterprises will need platforms capable of governing AI with the same intelligence and speed as the AI itself.

5. AI Platform needs a smart strategy

The pace of innovation is becoming overwhelming — even for experienced IT leaders. And now imagine what this means for Platform Owners, Product Owners or ServiceNow CoEs. When employees can create new features and workflows in days instead of months, platform governance can no longer rely on quarterly steering meetings or ad-hoc advisory boards. Governance must become a living operational capability. Organizations will need clear platform strategies, fast decision-making processes, roadmap ownership and dynamic governance models that guide innovation without slowing it down. Democratization without direction quickly becomes chaos.

The biggest takeaway from Knowledge 26?

The AI era is not only changing technology. It is changing how enterprises must think about architecture, governance, ownership and innovation itself.

Adam’s perspective

Building on what Karol already shared after #ServiceNow #Knowledge2026, this was probably the most intensive Knowledge conference I have attended so far… and I believe it was my 8th one already.

The amount of new products, acquisitions, AI capabilities, and the overall pace of change is simply astonishing. Even for experienced platform leaders, it can sometimes feel overwhelming.

That is exactly why, as SPOC, we need to stay ahead of this transformation – not only to understand the technology itself, but to help our customers translate innovation into pragmatic business value.

Here are some of my biggest takeaways from this year’s conference:

1. Moveworks is redefining the enterprise entry point

One of the most interesting shifts is how conversational AI is becoming the new front door to enterprise services. Employees increasingly expect natural interactions instead of navigating complex portals and workflows. The combination of ServiceNow and Moveworks shows a very clear direction: AI is becoming the operational interface between users and enterprise platform.

2. Otto shows where enterprise AI is heading

“Otto” was another strong signal of how ServiceNow sees the future of platform intelligence. We are moving toward contextual, embedded AI that does not simply assist users, but actively participates in operational execution, decision-making, orchestration, and workflow optimization. AI is becoming part of the platform fabric itself.

3. EmployeeWorks is helping connect the entire experience layer

One of the most interesting observations for me was how EmployeeWorks brings together workflows, AI, enterprise search, communication, and employee interactions into one consistent experience layer. ServiceNow is clearly moving toward a model where employees no longer need to understand organizational silos or platform boundaries. The platform itself becomes the orchestrator of work across the enterprise.

4. Build Agent makes AI-assisted development feel real

Build Agent was one of the most impressive demonstrations for me. It shows how ServiceNow is moving from low-code toward AI-assisted creation, where users can describe what they want to build and quickly turn ideas into working prototypes. The “vibe coding” experience was not just a concept – it actually worked, and it showed how much faster platform teams may be able to design, validate, and deliver new capabilities in the future.

5. The long-term platform strategy is becoming very clear

What stands out to me is how ServiceNow is building an end-to-end enterprise ecosystem around AI, workflows, governance, security, and operational intelligence. The direction shaped through capabilities such as AI Control Tower, together with acquisitions and partnerships involving companies like Moveworks, Logik.ai, data.world, Veza, and others, creates a very coherent long-term vision. ServiceNow is evolving into an AI Control Tower for business reinvention.

My biggest takeaway from Knowledge 2026?

We are no longer talking about isolated AI use cases or standalone automation initiatives. We are witnessing the emergence of fully integrated enterprise operating platforms where workflows, AI, governance, automation, security, and data strategy are becoming one coherent ecosystem.