ServiceNow has recently launched its new release, which is a bigger one. Well, it is the first release under the company’s new naming system, where updates are named after countries instead of numbers. In the previous releases, AI was a helper. It was offering the suggestions, but the people had to perform the actual work.
In this article, we have discussed in detail how ServiceNow is building the AI agents that can understand the situation well, make decisions, and take actions. There will be less need for human intervention. If you have applied for the ServiceNow Course, then this release will give you a great idea of what the skills actually matter.
Top AI Features Introduced in the Latest ServiceNow Release
Here are the main AI features from this release, explained in plain terms.
AI Agents Inside Playbooks
You can now add an AI agent as a direct step inside a playbook. There are two types. Helper agents need human approval before moving forward. Worker agents can act on their own without waiting for approval. Whatever the agent does now shows up right inside the activity card. There’s no separate window or extra panel to check. The output from the agent step also flows into the next steps automatically, so it connects smoothly with the rest of the process. This is exactly the kind of feature covered in a proper ServiceNow admin course, since setting these up correctly is now part of everyday admin work.
Intelligent Approvals
This one takes care of routine approvals by itself. It reads through the company’s policy documents and uses that to decide whether to approve or reject a request, so someone doesn’t have to sit and review every single one. That cuts out a lot of the back-and-forth that normally slows things down. The catch is that it only works as well as the policies behind it – if the documentation is messy or outdated, the approvals won’t be accurate either. So good documentation actually matters more now, not less.
Now Assist Center
As more AI tools get added to the platform, it gets harder to keep track of all of them. Now Assist Center fixes that by giving admins one place to manage everything tied to Now Assist. From there, they can turn on new AI features, check how agents are doing, and adjust settings without hopping between different screens every time. This comes up a lot in a solid ServiceNow admin course, mainly because it’s exactly the kind of thing admins deal with on a regular workday.
AI Agent Advisor and Topology Mapping
If you add the AI agents, this looks easy, but keeping a record of the same makes it messy. So the AI agent advisor also offers planning suggestions to help the team roll out AI step by step instead of all of this. Alongside this, AI Agent Topology Mapping shows exactly which agents, models, and prompts are connected to each other, so teams can see dependencies and spot risks before they cause problems.
Build Agent Now Works in Studio
Before this release, Build Agent only worked inside the ServiceNow IDE, which mainly professional developers used. Now it works directly inside Studio too. This matters a lot because business analysts, app owners, and citizen developers usually work in Studio, not the IDE. They can now use AI assistance without switching tools or environments.
AI Gateway
Well this new feature offers real-time visibility and control over the AI activity. It also includes the AI tools from the other companies that get connected with ServiceNow using MCP. Also, it is a part of ServiceNow’s plan for becoming the main hub for managing AI activity across the company’s whole system. Well, it is not just the tools that are built by ServiceNow itself.
Updates for Specific Departments
Several departments got their own AI upgrades too. IT teams got better incident handling, request summaries, and voice-based account unlock support. Field service teams got AI-based parts tracking and the ability to create work orders using photos. Nearly every department also got improved analytics on how their Virtual Agent is performing. These department-specific updates are usually covered in detail during focused ServiceNow course sessions built around particular job roles.
Why This Matters for Your Career?
AI is now built deep into ITSM, HR, customer service, and other core modules on the platform. People who know how to set up, manage, and fix these AI features will have a real advantage when applying for jobs. Whether you’re completely new to ServiceNow or brushing up on existing skills, taking proper ServiceNow classes that cover Now Assist and AI Control Tower is quickly becoming necessary, not optional.
For people living in North India, ServiceNow training in Hyderabad has become a popular option for those who want in-person guidance instead of learning everything alone online. A good ServiceNow admin course that includes the Australia release updates can help you go from just using the platform to confidently managing AI-based workflows in a real company setup.
Conclusion:
This release makes one thing clear. ServiceNow wants AI agents to run more of the day-to-day work, as long as there’s proper oversight in place. Features like playbook agents, Intelligent Approvals, and the expanded AI Control Tower aren’t small extras anymore. They’re becoming a normal part of how service management works. Keeping your skills updated through regular training isn’t just useful for passing certifications. It’s turning into a basic requirement for anyone who wants to work seriously with this platform.