ServiceNow’s AI Control Tower is a new, centralized command center that enables enterprises to govern AI agents, applications, and tools from a top-down perspective. The new product was released in May 2025, alongside a flurry of other AI-related announcements at the recent Knowledge 2025 Conference in Las Vegas.
The AI Control Tower offers a range of tools to help enterprises and large organizations better operationalize the growing potential of AI products. So, how does it do that? And what does this say about ServiceNow’s wider plans in the AI space? Here’s what you need to know.
AI Control Tower: Main Details in Brief
The AI Control Tower aims to help organizations better manage the ever-growing list of AI products that they increasingly rely on. That includes tools to manage risk and compliance, as well as dashboards to better understand the tangible impact and ROI that AI is delivering.
Crucially, it doesn’t just do this across ServiceNow-specific tools; it also includes third-party software and combines both generative and agentic AI tools. This enables ServiceNow to provide a single base of operations for AI products, regardless of the vendor that produced it or the business function that uses it. In this sense, it isn’t really designed to offer new or innovative AI functionality. Instead, it’s about helping organizations better manage the tools they already have.
Why AI Control Tower? And Why Now?
“As AI agents proliferate across enterprises, coordinating their work becomes as critical and complex as leading human employees, and companies need new tools to direct this new digital workforce.
Amit Zavery, President, Chief Product Officer, and Chief Operating Officer, ServiceNow
Only ServiceNow unites powerful workflows, industry‑leading governance, and seamless orchestration with agentic AI excellence, enabling customers to scale AI and drive real, measurable outcomes.”
ServiceNow has been no stranger to AI-related announcements in recent years. In fact, it has been steadily acquiring some of the market’s leading AI startups for some time. And the AI Control Tower was just one of several exciting AI products to hit the headlines during Knowledge 2025, including the release of Apriel Nemotron 15B and the AI Agent Fabric.
But arguably, the AI Control Tower is the most interesting of these, because it tells us a lot about ServiceNow’s priorities and how it sees the future of the AI market.
Here’s the basic situation as ServiceNow sees it: In the last few years, there has been an explosion in AI startups and tools, and most of these are ‘point solutions’. In short, this means they are self-contained products aimed at a particular industry, challenge, or business function.
For SMEs and individual employees, this works perfectly fine. But for enterprises, it creates a key issue because different employees and teams end up using a complex range of AI tools, with varying features, benefits, and vendors.
At the organizational level, this makes it incredibly difficult to get a top-down view of what tools are being used and what tangible ROI they’re providing to the company’s bottom line. Even if the solutions themselves offer this information (far from a guarantee), it’s effectively useless if there are as many different dashboards as there are AI products.
Perhaps more importantly, it’s incredibly difficult to create compliance and governance policies that can manage risk associated with emerging AI systems and ensure they’re being used in the right way.
ServiceNow Eyes Up a Gap in the Market
It’s this problem that AI Control Tower aims to solve, by giving organizations the information and visibility they need to maximize the benefits of AI and minimize the risks.
Effectively, we can sum up this challenge in two words: Operationalizing AI. For all the excitement around AI in recent years, there has been little focus on managing these new products at the organizational level. And without effective tools to monitor safety, risk, and compliance, there’s a real limit to their actual potential. The best AI functionality in the market isn’t much use if executives can’t tell what it’s being used for, what the risks are, or whether it’s working.
ServiceNow has decided that there is an important gap in the market for tools and products that can help organizations operationalize new AI functionality. Interestingly, the company is perhaps uniquely qualified to provide a platform like this. After all, few tech platforms are already so deeply embedded into the complex IT networks and operations of large-scale enterprises.
AI Control Tower in Detail: Features and Benefits
Let’s dive into the specifics of the product in a bit more detail. It offers five main features that collectively aim to help organizations manage risk, measure ROI, and enhance the performance of their AI tools:
- Visibility: A single base of operations for all AI agents, models, and workflows, including ServiceNow and third-party tools.
- Compliance and governance: Integrated governance, risk, and compliance (GRC) capabilities to help organizations proactively manage risks, security, and privacy concerns.
- Agentic AI lifecycle management: AI Control Tower can be used to train agentic AI tools to make context-based decisions, while enforcing strict guardrails around what decisions are taken by AI and how.
- Reporting: A range of dashboards provide insights into ongoing AI performance and attempts to quantify the tangible ROI they’re having. This lets organizations understand and compare the effectiveness of different AI tools.
- Strategy: The information and insights provided through AI Control Tower give organizations the information they need to decide what AI tools to use and how. This aims to ensure that all new technology can maximize productivity and revenue.
The AI Control Tower is now generally available, and you can find out more on the ServiceNow website.
Final Thoughts
Today, it’s difficult to go more than a day without a new AI announcement or product, from ServiceNow or the wider tech market. But few are taking the same approach as ServiceNow: focusing squarely on making AI work.
Operationalizing AI might not be very sexy, but it’s very ServiceNow.