ServiceNow AI Agents Reviews & Product Details

I really appreciate that ServiceNow AI Agents save our team a lot of time on repetitive work, like manually reviewing each ticket or searching for the right information. These AI agents provide relevant context and recommend the next action, which has improved our efficiency. The biggest value for us is how it removes representative administrative work, reducing manual effort in handling incident service requests and employee support. This automation, with its useful suggestions, has improved response times, reduced ticket backlogs, and freed up our support team to focus on more pressing issues. Setting it up was pretty easy, especially since we were already using ServiceNow. Expanding it to Microsoft Teams was also straightforward. Review collected by and hosted on G2.com.

I don't like that the quality of the results depend heavily on your data. If your knowledge articles are not well maintained, the recommendations won't always be accurate. Some advanced automations take time to configure and test before they are ready for production. So there is a bit of a learning curve during implementation. Review collected by and hosted on G2.com.

ServiceNow AI work in ServiceNow and get the required data from CMDB and figure the solution to get the work done. The best thing is that it not only answer the quarries it just plan and take action automatically. The user interface is very easy to use for us when any serious customer case come. Review collected by and hosted on G2.com.

It’s very hard to predict the exact price before using it, because adding more calling tools and third-party integrations can make the bill much higher. Review collected by and hosted on G2.com.

What stands out most is how straightforward it is to build agents. I can stand up a working agent for a workflow without heavy custom development, which keeps the focus on the process rather than the plumbing. We mainly use it for workflow automation, and it fits into our existing ServiceNow flows cleanly, so handoffs that used to require manual steps now run on their own. The clearest benefit has been faster resolution times: routine requests that previously waited in a queue get handled and moved along much sooner, which has taken real pressure off the team. Review collected by and hosted on G2.com.

The main gap I’ve run into is the documentation. When I’m working on more advanced agent configurations, the available material doesn’t always go deep enough, so I often end up figuring things out through trial and error or by digging through community threads instead of finding a clear, authoritative reference. It’s more of an annoyance than a blocker, and it hasn’t stopped me from getting agents up and running. Review collected by and hosted on G2.com.

I think ServiceNow AI Agents are very good compared with other AI agentic methodologies, and they're well known for consumer support-related data sets. I think they're a good option. The setup wasn't complicated; it was easy. I can use them to help with application strategies and coding issues, and to answer questions using the related technology. Review collected by and hosted on G2.com.

I’d like better integration with the web, mobile, and devices so I can apply it more easily. Review collected by and hosted on G2.com.

What I like most is that it actually gets stuff done instead of just pointing me to a KB article. Most virtual agents feel like glorified search bars, but ServiceNow’s AI agents can actually execute tasks end-to-end. Review collected by and hosted on G2.com.

Occasional stubbornness on simple requests: Sometimes when you just want to log a standard ticket or talk to a real person immediately, the AI tries too hard to solve the issue itself, forcing you through unnecessary troubleshooting loops before handing off to a human Review collected by and hosted on G2.com.

I use ServiceNow AI Agents to improve efficiency in customer support and service experience. It automates repetitive tasks, streamlines ticket handling, and supports knowledge management, reducing the overall workload and improving response time. Its reliability is a big deal in my department as it manually routes tickets and ensures consistent handling of common requests. I appreciate how it helps make the support process feel stable and predictable. Setting it up was fairly straightforward and just required some coordination with all the teams. I also like using it alongside other support and workflow tools, as it typically works together with the main ServiceNow platform for ticketing and incident management, complementing communication tools like emails or chat systems. Overall, I haven't run into any issues, and the experience has been smooth and reliable. Review collected by and hosted on G2.com.

It's not always accurate with the response, but no AI is. Review collected by and hosted on G2.com.

What stands out most about ServiceNow AI Agents is their ability to automate repetitive IT tasks and deliver fast, conversational support, significantly improving user experience. They understand user intent, trigger workflows, and provide contextual responses, reducing manual effort and speeding up service delivery.

AI Agents also excel in integration capabilities, seamlessly connecting with ITSM, ITOM, and third-party systems to enable end-to-end automation across tools. Their performance is strong, handling high volumes of requests efficiently while maintaining quick response times.

From a pricing and ROI perspective, they help reduce support costs by deflecting tickets and improving agent productivity, delivering measurable value over time. Additionally, support and onboarding are well-structured, with guided setups, prebuilt use cases, and ongoing improvements that make adoption smoother.

Overall, AI Agents enhance efficiency, scalability, and service quality through intelligent automation and continuous learning. Review collected by and hosted on G2.com.

ServiceNow AI Agents can require significant setup and tuning to perform effectively, especially for complex use cases. Accuracy may vary initially due to data quality and training gaps. Integration with legacy systems can be challenging, and high licensing costs may impact ROI for smaller teams. Additionally, advanced customization and onboarding may need skilled resources. Review collected by and hosted on G2.com.

Using ServiceNow AI Agents feels like having an extra team member who is available all the time.

I really appreciate the fact that whenever complex support requests come in, the AI understands the problem, completes multiple tasks automatically, and updates records without needing constant supervision. Review collected by and hosted on G2.com.

I haven’t run into any major issues while using the platform. The core components work with seamless reliability, so my day-to-day routine stays completely uninterrupted. Overall, it’s genuinely hard to point to any meaningful flaws or shortcomings in the experience. Review collected by and hosted on G2.com.

I like how ServiceNow AI Agents automate repetitive tasks and reduce manual effort. They can understand requests, perform actions, and help resolve issues faster. The integration with existing ServiceNow workflows makes them easy to use and improves overall productivity. Review collected by and hosted on G2.com.

AI Agents can sometimes provide generic or inaccurate responses, especially for complex scenarios. They also require proper configuration and context to deliver consistent results. Review collected by and hosted on G2.com.

End to end automation, great fit for support operation, natural language agent creation Review collected by and hosted on G2.com.

The complexity involved in configuring and troubleshooting an AI agent can be frustrating and time-consuming. Review collected by and hosted on G2.com.