--- title: ServiceNow AI Agents Reviews meta_title: 'ServiceNow AI Agents Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 458 reviews by the users' company size, role or industry to find out how ServiceNow AI Agents works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 458 scale: '5' date_modified: '2026-07-09' parent_category: name: Agentic AI url: https://www.g2.com/categories/agentic-ai --- # ServiceNow AI Agents Reviews **Vendor:** ServiceNow **Category:** [ AI Agent Builders Software](https://www.g2.com/categories/ai-agent-builders) **Average Rating:** 4.3/5.0 **Total Reviews:** 458 ## About ServiceNow AI Agents ServiceNow AI Agents act autonomously to get work done across IT, HR, customer service, app development, and every corner of your business. They proactively solve problems, drive exponential productivity, and handle everything from routine tasks to complex, multi-step processes. Built on a unified, open platform that combines AI, data, workflows, and security, ServiceNow AI Agents have real-time access to enterprise data from 450+ systems. Grounded in your business context, rules, and knowledge, they don't just recommend next steps. They execute work across any system in your enterprise, governed by your policies at every step. Choose from out-of-the-box agents or build custom ones with AI Agent Studio using natural language. Set guardrails, automate workflows, and deploy AI with governance and security built in from day one. The AI Agent Orchestrator coordinates teams of specialized agents to handle complex, multi-step workflows that single-agent solutions can't manage. For over 20 years, ServiceNow has powered work for the world's leading companies. 85% of the Fortune 500 trust ServiceNow, powering 80 billion workflows annually and over 100,000 AI use cases. Put AI to work for your people with ServiceNow. ## ServiceNow AI Agents Pros & Cons **What users like:** - Users appreciate the **efficiency** of ServiceNow AI Agents, simplifying tasks and enhancing productivity in workflows. (21 reviews) - Users appreciate the **ease of use** of ServiceNow AI Agents, enhancing efficiency with quick automation and seamless integration. (17 reviews) - Users value the **automation of repetitive tasks** with ServiceNow AI Agents, enhancing efficiency and reducing workload for teams. (14 reviews) - Users appreciate the **easy integrations** of ServiceNow AI Agents, seamlessly enhancing existing workflows and improving efficiency. (11 reviews) - Users appreciate the **efficiency and automation** of ServiceNow AI Agents, enhancing workflow management and speeding up issue resolution. (7 reviews) - Users value the **quick and efficient bot creation** process, enhancing productivity and resolving issues proactively. (5 reviews) - Integrations (5 reviews) - NLP Capabilities (5 reviews) - Setup Ease (5 reviews) - Users highlight the **efficiency boost** provided by ServiceNow AI Agents, enhancing productivity through intelligent workflows. (4 reviews) **What users dislike:** - Users are disappointed with the **inaccuracy** of ServiceNow AI Agents, as they struggle with context and real-world applications. (10 reviews) - Users find **poor understanding** from ServiceNow AI Agents, struggling with nuanced questions and requiring extensive setup and customization. (9 reviews) - Users find the **complex configuration** of ServiceNow AI Agents challenging, as it demands significant time and effort for setup. (8 reviews) - Users find that ServiceNow AI Agents can be **rigid and limited** , struggling with complex or nuanced scenarios and requiring extensive setup. (8 reviews) - Users find the **setup process complex** , requiring extensive knowledge and often struggling with nuanced requests. (5 reviews) - Users find the **steep learning curve** of ServiceNow AI Agents challenging, requiring significant time for proper setup and understanding. (5 reviews) - Limited Customization (5 reviews) - Expensive (4 reviews) - Users experience **application instability** with ServiceNow AI Agents, facing crashes and inaccurate responses during use. (2 reviews) - Connectivity Issues (2 reviews) ## ServiceNow AI Agents Reviews ### 1. Native AI agents that finally run on governed platform data **Rating:** 5.0/5.0 stars **Reviewed by:** rajesh s. | ServiceNow ASEAN Lead, Enterprise (> 1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about ServiceNow AI Agents?** What I like best is that the AI Agents run natively on the Now Platform, so they operate on the same governed data model and workflows we already trust. The agents have direct context from the CMDB, CSDM, and live records, which means they act on real platform state rather than a disconnected layer bolted on top. The AI Agent Orchestrator handling coordination across specialised agents is a big plus, and because everything stays inside the platform's existing RBAC, ACLs, and audit trail, governance and compliance are intact by default rather than being an afterthought. For regulated clients I work with, that combination of context, orchestration, and built-in guardrails is what makes the agents usable in production and not just in a demo. **What do you dislike about ServiceNow AI Agents?** More user friendly and security concernsThe main friction is cost predictability. Consumption runs on Assist units, and forecasting usage across a large agent deployment is hard before you see real production volumes, which makes budgeting conversations with finance teams difficult. Licensing is also a moving target. The shift to the Foundation, Advanced, and Prime tiers changed how entitlements map to AI capabilities, and keeping clients aligned on what they actually own versus what needs an upgrade takes real effort. Beyond cost, the agents are most effective when the underlying data foundation is mature. On clients with a weak CMDB or incomplete CSDM, the agents underperform and you end up doing foundational data cleanup first. Skill coverage out of the box is still uneven across non-ITSM workflows, so custom agent build effort is higher than the marketing suggests. Better native observability into why an agent made a given decision would also help in regulated environments where we need to defend that reasoning to auditors. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** For our enterprise clients, the agents are mainly solving the problem of manual effort and slow resolution across high-volume operational work. In ITSM and ITOM we use them to triage, enrich, and resolve incidents without an analyst touching every ticket, which cuts mean time to resolution and frees skilled people for higher-value work. In SecOps the agents help close the gap between detection and response by handling enrichment and routine containment steps that used to sit in a queue. For SPM and IRM workflows they reduce the reporting and evidence-gathering burden that regulated clients in BFSI, telecom, and government carry. The benefit to IBM and our customers is twofold. Customers activate AI capability they have often already paid for under the new licensing tiers, so we frame the engagement around realising existing investment rather than net new spend, which shortens the business case. For IBM, the agents pair well with our consulting and data governance work, since the agents only perform as well as the data foundation underneath them. That gives us a clear role helping clients get the CMDB, CSDM, and integration layer right first, then deploying agents on top. The result is faster outcomes for the client and a durable advisory position for us. ### 2. ServiceNow AI Agents Streamline Workflows and Reduce Manual Effort **Rating:** 4.5/5.0 stars **Reviewed by:** Pradip G. | Technology Lead, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** April 13, 2026 **What do you like best about ServiceNow AI Agents?** What I like most about ServiceNow AI Agents is how they cut down on manual effort by automatically taking care of tasks such as ticket assignment and offering resolution suggestions. They integrate smoothly into existing workflows without causing disruption, and they continue to improve over time, which helps make my work faster and more efficient. **What do you dislike about ServiceNow AI Agents?** One thing I dislike about ServiceNow AI Agents is that sometimes the recommendations are not fully accurate, especially in complex or uncommon scenarios. It still requires manual verification, which reduces complete dependency on AI. Also, initial setup and fine-tuning can take time and effort to get the best results. Without proper configuration and quality data, the performance may not be as effective as expected. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** As an enterprise user who is using ServiceNow daily, I see that AI Agents are solving the problem of high manual workload and slow ticket resolution. Earlier, a lot of time was going into understanding issues, routing tickets, and following up. Now, AI Agents are handling these tasks more efficiently by automatically categorizing, assigning, and even suggesting solutions. This is benefiting me by saving time and improving productivity in my daily work. I can focus more on critical and value-added tasks instead of repetitive activities. It also helps in faster response time and better user experience across the organization, which is very important at enterprise level. ### 3. Automated Efficiency Booster for IT Service Desks **Rating:** 4.0/5.0 stars **Reviewed by:** James W. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 27, 2026 **What do you like best about ServiceNow AI Agents?** 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. **What do you dislike about ServiceNow AI Agents?** 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. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to automate routine IT support tasks like ticket assignments and answering common questions. It saves our team time on repetitive work, improves response times, reduces ticket backlogs, and lets us focus on more critical issues with useful suggestions. ### 4. Straightforward Agent Building That Streamlines ServiceNow Workflows **Rating:** 4.5/5.0 stars **Reviewed by:** Josue R. | Data & AI Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 26, 2026 **What do you like best about ServiceNow AI Agents?** 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. **What do you dislike about ServiceNow AI Agents?** 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. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** Before adopting ServiceNow AI Agents, a lot of routine requests moved through our workflows manually, so even simple steps would sit in a queue waiting for someone to pick them up and move them along. Now the agents handle that triage and routing on their own, which has translated into noticeably faster resolution times and less manual effort spent on repetitive work. The AI is solid enough to interpret incoming requests and act on them without constant babysitting, so the team can focus on the cases that actually need human judgment. In terms of return, the value shows up less as a hard line-item saving and more as reclaimed capacity. On the pricing and ROI side, the cost only really makes sense once you factor in the volume of work the agents take off the team’s plate. ### 5. ServiceNow AI Agents Save Time with Accurate Ticket Summaries and Suggested Replies **Rating:** 4.5/5.0 stars **Reviewed by:** Abhishek S. | Marketing Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** June 22, 2026 **What do you like best about ServiceNow AI Agents?** What I like most about ServiceNow AI Agents is that they save a lot of time on the small things that add up during the day. We started using the AI capabilities mainly for ticket summaries and suggested responses, and honestly, that reduced a lot of context switching for our team. During handoffs between shifts, agents no longer have to read through long incident histories to understand what’s going on. The summaries are usually accurate enough to get you up to speed quickly. I also like that the AI is built into existing workflows instead of feeling like a separate tool we have to manage. **What do you dislike about ServiceNow AI Agents?** One thing we’ve noticed is that the AI output still needs human review, especially for more complex requests or incidents with a lot of context. For straightforward tasks it’s helpful, but sometimes the summaries or suggested responses miss nuances that an experienced agent would catch. There was also a bit of a learning curve in figuring out where the AI added value and where manual handling was still the better option. It’s definitely useful, but it isn’t something you can put on autopilot and forget about. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** One place where we’ve noticed the biggest difference is during shift handovers. Earlier, someone taking over an incident had to scroll through a lot of work notes just to understand what had already been done. The AI summaries have cut that down quite a bit. We also use the suggested responses for some of the more repetitive tickets. They’re not always perfect, so we still review them, but overall they’ve helped us spend less time on admin work and more time actually resolving issues. ### 6. Streamlined Support System with Reliable Automation **Rating:** 4.5/5.0 stars **Reviewed by:** Shemar R. | Founder, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about ServiceNow AI Agents?** 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. **What do you dislike about ServiceNow AI Agents?** It's not always accurate with the response, but no AI is. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to automate repetitive tasks, reduce workload, and improve response times. It helps streamline ticket handling and supports knowledge management, ensuring consistency and reliability in managing priority tasks. ### 7. ServiceNow AI Agents: Driving Smarter, Automated IT Support **Rating:** 4.5/5.0 stars **Reviewed by:** Shubhangi G. | Sr. ServiceNow Developer, Enterprise (> 1000 emp.) **Reviewed Date:** June 15, 2026 **What do you like best about ServiceNow AI Agents?** 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. **What do you dislike about ServiceNow AI Agents?** 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. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents solve challenges like high ticket volumes, repetitive manual tasks, slow response times, and inconsistent support experiences. By using AI-driven conversations and automation, they handle common requests instantly, reducing dependency on human agents and minimizing delays. They also address inefficient workflows and siloed systems through strong integrations with ITSM, ITOM, and third-party tools, enabling seamless end-to-end task execution. With built-in intelligence, AI Agents improve decision-making and routing accuracy, ensuring issues are categorized and assigned correctly. Additionally, they help overcome reactive support models by leveraging learning and insights to provide proactive suggestions and faster resolutions. This results in reduced support workload, faster issue resolution, improved user satisfaction, and lower operational costs. Over time, continuous learning and optimization further enhance performance and ROI, making IT support more scalable, efficient, and responsive. ### 8. Efficiency Booster with User-Friendly Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Justin S. | Senior Paid Media Strategist, Marketing and Advertising, Small-Business (50 or fewer emp.) **Reviewed Date:** June 23, 2026 **What do you like best about ServiceNow AI Agents?** I find ServiceNow AI Agents to be incredibly user-friendly. Initially, I thought working with AI agents would be a big tedious task, but it turned out to be a breeze. They have saved me probably about ten hours a week in response time and about five hours a week by nurturing my leads, significantly decreasing my staff's workload. I cannot stress enough how easy the initial setup was—it was a breeze. Considering all of this, I would rate it a 10 out of 10. **What do you dislike about ServiceNow AI Agents?** The fact that I didn't try them sooner. But, to no fault of their own **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents for optimizing campaigns, nurturing leads in my CRM, and responding to clients. They save me about ten hours a week on response time and five hours on lead nurturing, reducing my team's workload significantly. ### 9. Platform level AI in Agent Studio **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Banking | Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about ServiceNow AI Agents?** The fact that they sit inside the platform you are already using makes a big difference. There is no switching between tools or copying information across systems. You interact with the agents through chat, in the Now Assist panel right where the work is already happening, which means adoption is far easier than rolling out a standalone AI product. Integration with AI control tower enables platform-level governance, ensuring data is protected throughout. The ability to launch either a generative AI skill or other tool from the list of steps enables broader use cases. **What do you dislike about ServiceNow AI Agents?** For teams new to ServiceNow AI, the setup and configuration is not trivial. You need people who understand the platform well to get agents behaving correctly and to build proper guardrails. Without that investment upfront the results can be inconsistent. Pricing for AI features is also layered on top of existing licensing, although this is changing in a confusing way, and depending on which modules you need, costs can add up faster than expected. The ROI is there but it takes time to realise and is harder to quantify for stakeholders who want quick wins. From a technical perspective, deploying a list of steps does not always move from one to the next, with tricky passing of outputs from one step to the next. Scalability can also be a problem, as adding more steps to an agent can cause previous steps to behave differently to expected. User Interface can be challenging to find underlying records, which can hinder promotion. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** For employees across the business, it means getting answers and having requests fulfilled much faster than going through a traditional service desk. Onboarding is a good example where an agent can coordinate across IT, HR, and facilities automatically, so a new starter has everything they need on day one without anyone having to manually chase it all up. For managers and leaders, the benefit is visibility and control without the overhead. The AI Control Tower gives a clear picture of what agents are doing, what is being automated, and where things need attention, without having to dig through logs or wait for a report. ### 10. Transforming Enterprise Workflows with AI Automation **Rating:** 5.0/5.0 stars **Reviewed by:** saravanan k. | Technical Architect **Reviewed Date:** May 06, 2026 **What do you like best about ServiceNow AI Agents?** ServiceNow AI Agents help streamline enterprise workflows by automating repetitive tasks, improving response times, and reducing manual effort across IT and business operations. What stands out most is the seamless integration with the ServiceNow platform, enabling contextual automation, intelligent ticket resolution, and faster decision-making. The AI-powered orchestration and natural language capabilities improve employee and customer experiences while increasing operational efficiency at scale. **What do you dislike about ServiceNow AI Agents?** While ServiceNow AI Agents are powerful, the initial setup and fine-tuning can require significant configuration and platform expertise, especially for complex enterprise use cases. Some advanced AI capabilities also depend heavily on data quality and well-defined workflows to deliver accurate outcomes. Additionally, licensing and implementation costs may be a consideration for smaller organizations adopting AI-driven automation at scale. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents help solve challenges related to repetitive manual work, slow ticket resolution, fragmented workflows, and inefficient service operations. By automating routine tasks, intelligently routing requests, and providing contextual recommendations, the platform improves productivity and accelerates issue resolution across teams ### 11. Automation and Efficiency Booster with Setup Challenges **Rating:** 4.0/5.0 stars **Reviewed by:** Krushitha S. | Specialist Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 04, 2026 **What do you like best about ServiceNow AI Agents?** I like how ServiceNow AI Agents automates ticket handling and speeds up issue resolution, reducing manual effort and improving response time across support teams. The tool manages high volumes of requests without overwhelming the team, ensuring consistent support and better user satisfaction. I also appreciate how it improves decision-making with smart suggestions and automation, reducing errors and enhancing team efficiency. It helps prioritize tasks better and reduces decision fatigue, with automation taking care of repetitive work to improve overall efficiency. Integrating it with tools like CRM and ticketing systems streamlines support processes for better dataflow and faster issue resolution. Transitioning to ServiceNow AI Agents made a noticeable difference in productivity and accuracy. **What do you dislike about ServiceNow AI Agents?** Initial setup and customization, workflows feel bit complex. A more simplified configuration process would help new users get started faster. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to automate ticket handling and speed up issue resolution, reducing manual effort and improving response time. It helps manage high request volumes, ensuring consistent support and user satisfaction, and enhances decision-making with smart suggestions and automation, reducing errors and improving team efficiency. ### 12. Bang on for Ticket Management, but can improve Onboarding **Rating:** 4.0/5.0 stars **Reviewed by:** Nayan P. | Analyst, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** June 14, 2026 **What do you like best about ServiceNow AI Agents?** I find ServiceNow AI Agents really helpful for managing most of my IT tickets and also resolving them. It supports my workflow orchestration and provides automation abilities that make tasks much smoother and efficient. This tool definitely enhances how I handle tasks and my tickets. **What do you dislike about ServiceNow AI Agents?** I feel like the onboarding is a little rough. There isn't a very straightforward or simplified tutorial to get started with things, let's say with examples and stuff, and it can get a little complex for beginners, especially newcomers to the ServiceNow platform as a whole. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** It helps me manage and resolve most of my tickets. It's also useful for workflow orchestration and has pretty cool automation abilities. However, the onboarding process is dull and lacks a straightforward tutorial, making it steep to catch on, for newcomers. ### 13. Efficient Query Handling, Excellent Support **Rating:** 5.0/5.0 stars **Reviewed by:** Christine C. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about ServiceNow AI Agents?** I like ServiceNow AI Agents for their accuracy, speed, and the format they use to handle queries. They are great for dealing with a high volume of topic queries in a very short time, which helps us respond to client queries efficiently and frees up human agents for more complex tasks. The very specific tasks that the AI agents can manage make them highly useful in our operations. Additionally, the support from ServiceNow as part of their AAA program was fantastic, which made the initial setup more manageable even though it wasn't easy. **What do you dislike about ServiceNow AI Agents?** So far, it works well all around except for queries that include several topics, including those on which the AI Agent is not trained. In those cases, the AI Agent does not know to hand over to a human agent, but continuously follows up with the client, causing client frustration. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to handle a large volume of queries quickly and accurately, freeing up human agents for more complex tasks. It excels in handling specific client queries, improving our response efficiency. ### 14. ServiceNow AI Agents Review **Rating:** 3.5/5.0 stars **Reviewed by:** Mayank S. | Sr. Advisory Architect | ServiceNow, Enterprise (> 1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about ServiceNow AI Agents?** What I like best about ServiceNow AI Agents is their ability to move beyond simple chatbot interactions and actually perform intelligent, goal-oriented work across enterprise workflows. Instead of just answering questions, AI Agents can understand context, orchestrate tasks, interact with systems, and help automate end-to-end business processes. A few standout strengths are: - Workflow-driven intelligence - Natural conversational experience - Context-aware automation - Cross-functional orchestration - Productivity improvements - Integration with enterprise systems - Scalable self-service What stands out most is how ServiceNow combines AI with workflow orchestration. The real value is not just generating responses, but enabling AI-driven execution of operational tasks in a governed and enterprise-ready environment. **What do you dislike about ServiceNow AI Agents?** Some of the challenges or limitations I see with ServiceNow AI Agents are: - Heavy dependence on data quality - Complex implementation and governance - Expectation vs. reality gap - Risk of over-automation - Integration complexity - User trust and adoption - Monitoring and accountability challenges - Licensing and operational costs That said, many of these challenges are common across enterprise AI adoption overall. The strongest results usually come when organizations treat AI Agents as assisted automation tools with proper governance, rather than expecting fully autonomous operations from day one. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents help solve the growing challenge of managing high volumes of repetitive work, fragmented processes, and slow response times across enterprise operations. Many organizations struggle with manual task handling, disconnected systems, overloaded support teams, and inconsistent user experiences. AI Agents help address these is sues by combining conversational AI with workflow automation and orchestration. What stands out most is that ServiceNow AI Agents are not just chat interfaces — they are integrated operational assistants capable of driving real workflow execution and enterprise automation in a governed environment. ### 15. Boosts Productivity with Effortless Ticket Triage **Rating:** 4.5/5.0 stars **Reviewed by:** sudheer y. | Enterprise (> 1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about ServiceNow AI Agents?** I appreciate how ServiceNow AI Agents help in assigning tickets to the correct support groups, ensuring incidents go to the right team instead of just the service desk. I find it very helpful in solving a lot of repetitive tasks, allowing for more productivity. Automating these use cases has enabled us to use human resources for more productive tickets. Additionally, the initial setup of ServiceNow AI Agents was quite easy. **What do you dislike about ServiceNow AI Agents?** I noticed that the keywords in short descriptions and descriptions are not predicting correctly in ServiceNow AI Agents. For example, if the description includes keywords like Zoom, Asana, or Outlook issue, it should pick the correct CI, but it doesn't. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to triage tickets, ensuring they go to the correct support groups rather than the service desk. It solves a lot of repetitive tasks, improving productivity by allowing human resources to focus on more complex issues. ### 16. Driving Efficiency and Agility Through ServiceNow Agents **Rating:** 5.0/5.0 stars **Reviewed by:** Geoff H. **Reviewed Date:** May 06, 2026 **What do you like best about ServiceNow AI Agents?** As an executive sponsor, I value solutions that deliver measurable impact without adding unnecessary complexity—and ServiceNow agents do exactly that. They extend our digital workforce in a way that is both scalable and intelligent, allowing us to automate high-volume, repetitive tasks while maintaining consistency and governance. What stands out most is how seamlessly these agents integrate across workflows, breaking down silos between departments. This not only improves operational efficiency but also enhances the employee and customer experience by reducing response times and increasing accuracy. From IT to HR to customer service, we’re seeing tangible productivity gains and better visibility into our processes. Equally important, ServiceNow agents give us the flexibility to evolve. As our business priorities shift, we can quickly adapt workflows and automation strategies without major reinvestment. That kind of agility is critical at the executive level. In short, ServiceNow agents are not just a tool—they’re a strategic enabler that helps us operate smarter, move faster, and deliver more value across the organization. **What do you dislike about ServiceNow AI Agents?** Still some issues to sort out with Donain Separation but mostly mino **What problems is ServiceNow AI Agents solving and how is that benefiting you?** It is automating our first line Service Desk ### 17. Powerful AI with Some Setup Challenges **Rating:** 4.5/5.0 stars **Reviewed by:** Kathryn V. | Enterprise (> 1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about ServiceNow AI Agents?** I find ServiceNow AI Agents powerful, providing quick answers with minimal input, which is really impressive. Additionally, the data on the backend promises to make us smarter about what our employees need and want, offering valuable insights. **What do you dislike about ServiceNow AI Agents?** Sometimes it does not pull all of the relevant information and tells a partial answer. For example, it didn't pull all three resources available for our employees related to elder care. We have these clearly laid out in a topic page, but the AI only picked up two of the resources. A challenge is trying it out in development, but my understanding is that we have to push to production and retrain the bot. I wish it would take cues from all the work we are doing in development. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I expect ServiceNow AI Agents to provide faster, consistently accurate answers for our employees and help with case deflection for our agents. It's powerful, offering quick answers with minimal input. ### 18. Streamlined HR Operations with Effective AI Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Steve C. | Director of Technology and Data, Enterprise (> 1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about ServiceNow AI Agents?** I really like how ServiceNow AI Agents tie in with our knowledge content. We've spent a lot of time improving this content, and it's made the agents more accurate right away, even before any fine-tuning. In the HR space, by not duplicating content and being clear and concise, the effectiveness of the bots has really improved, especially since implementing Now Assist. The tools save us a significant amount of time by deflecting employee inquiries and assisting our HR team, which allows us to respond much faster and more efficiently to our employees. As these agents improve over time, they've helped us build credibility with our staff. Also, partnering with CDW made the initial implementation of ServiceNow AI Agents easy and straightforward. **What do you dislike about ServiceNow AI Agents?** Training the skills itself has been a little complicated for our team to start and modify - anything that we can do to make training easier would be a huge benefit. Suggestions of the best approaches or methodology for effective model training would be helpful, whether through printed materials or in-app help. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents save us time by deflecting inquiries and assisting our HR team, enabling faster and more efficient responses. They've also improved our credibility with staff as they've become more effective over time. ### 19. Streamlines ITSM workflows but requires upfront tuning to get right. **Rating:** 4.0/5.0 stars **Reviewed by:** Samuel B. **Reviewed Date:** May 06, 2026 **What do you like best about ServiceNow AI Agents?** I appreciate how seamlessly ServiceNow AI Agents integrate into our existing workflows. The ticket summarization feature is a massive time-saver for our support desk, allowing agents to understand complex, lengthy incident histories in seconds. It also does a great job at deflecting routine Tier-1 requests by surfacing relevant knowledge base articles to end-users in a conversational way, which significantly reduces our ticket volume. **What do you dislike about ServiceNow AI Agents?** The initial setup and tuning require a significant investment of time to ensure accuracy. If your internal Knowledge Base isn't perfectly maintained and up-to-date, the AI can sometimes provide generic or slightly off-base responses. Additionally, navigating the licensing tiers to get access to all the advanced GenAI features can be a bit complex and pricey for smaller teams. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** It solves the problem of agent fatigue and slow ticket resolution times caused by manual data entry and reading long ticket histories. By automatically summarizing lengthy email threads and generating resolution notes, it gives our team instant context. The main benefit to me is that I spend significantly less time doing administrative work and more time actually fixing core technical issues, which has noticeably improved our overall SLA compliance and reduced burnout. ### 20. Efficiency Booster with Minor AI Hiccups **Rating:** 4.0/5.0 stars **Reviewed by:** Ashley M. | Enterprise (> 1000 emp.) **Reviewed Date:** May 06, 2026 **What do you like best about ServiceNow AI Agents?** I use ServiceNow AI Agents for customer service and find it to be a great resource for our agents. It saves time and provides better customer service by acting almost like another knowledge resource. I appreciate how it works well with knowledge articles, service manuals, and parts manuals, helping provide information that would take our agents a while to find otherwise. It saves my agents time from having to do the research on their own and delivers answers faster to our customers. **What do you dislike about ServiceNow AI Agents?** I'm always worried about the AI agent making assumptions that are incorrect. If the AI agent doesn't understand what it is being asked, instead of asking another question, it just makes an assumption that is incorrect. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents save time for my Agents, providing another resource to offer better customer service. It quickly accesses knowledge articles and manuals, reducing the time needed for research and delivering faster answers to customers. ### 21. Saves Time but Costly for Small Teams **Rating:** 5.0/5.0 stars **Reviewed by:** Jessica S. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 06, 2026 **What do you like best about ServiceNow AI Agents?** I love how much time and effort ServiceNow AI Agents save, saving us tremendous amounts of money on service desk employees and improved user satisfaction internally at our company. Additionally, the initial setup was very easy. I'm very likely to recommend ServiceNow AI Agents to a friend or colleague, rating it a 10 out of 10. **What do you dislike about ServiceNow AI Agents?** It is VERY EXPENSIVE. Each 'assist' costs money. The licensing costs are very prohibitive for us to expand our implementation and use the capabilities to their full abilities. Please have a sliding scale costs for the assists. We are a small company and can barely justify the current cost structure to our board. It simply costs more money than it saves us, at our scale. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents for incident summarization and knowledge content generation, speeding up incident resolution and knowledge generation time. It saves us time, money on service desk employees, and improves internal user satisfaction. ### 22. Streamlined Service Delivery with Clear Visibility Across Teams **Rating:** 5.0/5.0 stars **Reviewed by:** Layla W. | Service Delivery Manager **Reviewed Date:** May 06, 2026 **What do you like best about ServiceNow AI Agents?** What I like best about ServiceNow Agent is how much it simplifies day-to-day work without feeling clunky or over-engineered. It gives a clear, central place to manage requests, automate routine tasks, and keep everything moving without constant manual chasing. I especially value how it improves visibility across teams—nothing gets lost, and it’s easier to stay on top of priorities. Overall, it just makes service delivery feel more controlled and efficient. **What do you dislike about ServiceNow AI Agents?** What I dislike about ServiceNow Agent is that it can sometimes feel overly complex for what should be straightforward tasks. There’s a bit of a learning curve, and not everything is as intuitive as you’d expect, especially for new users. I’ve also found that customisation, while powerful, can become messy over time and make processes harder to follow. At times it can feel like you’re working around the tool rather than the tool working for you. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** It helps our team work more efficiently, reduces overhead, and still maintains excellence. ### 23. Strong platform-native AI with real enterprise potential **Rating:** 4.5/5.0 stars **Reviewed by:** Roy B. **Reviewed Date:** May 06, 2026 **What do you like best about ServiceNow AI Agents?** ServiceNow AI Agents stand out because they’re deeply embedded in the platform rather than feeling bolted on. They can take action across workflows using Flow Designer, IntegrationHub, and CMDB context, which makes them much more than simple conversational tools. The ability to orchestrate tasks, summarize records, and guide users or agents in real time translates into measurable efficiency gains. I also value the governance controls, auditability, and role-based access, which are especially important in regulated environments. Overall, they align well with enterprise architecture principles while remaining flexible enough to scale across a wide range of use cases. **What do you dislike about ServiceNow AI Agents?** The biggest challenge today is maturity and consistency across capabilities. Some features feel more production-ready than others, and there are still gaps in the explainability and transparency of AI-driven decisions. Implementation also requires thoughtful design and tuning, particularly around data quality, knowledge sources, and guardrails. Licensing terms and overall cost clarity can be a concern as you scale beyond initial use cases. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents address the challenge of manual, fragmented work across IT and business workflows. Traditionally, agents spend significant time triaging tickets, hunting down the right information, coordinating across teams, and making repetitive updates. AI Agents help streamline this by automating routine decisions, summarizing relevant context, and guiding next-best actions directly within the workflow. For me, the biggest benefit is improved efficiency and consistency. Incidents are categorized and routed more quickly, knowledge is surfaced at the right moment, and agents can focus on higher-value work instead of administrative overhead. It also reduces reliance on tribal knowledge, because the AI proactively brings forward the most relevant context. From an architectural perspective, a lot of the value comes from how tightly this capability is integrated into the platform. Rather than introducing yet another tool, AI Agents operate inside ServiceNow workflows, which supports stronger governance, auditability, and scalability. Overall, that makes it easier to adopt AI in a controlled, enterprise-ready way. ### 24. Amazing **Rating:** 5.0/5.0 stars **Reviewed by:** Matthew M. **Reviewed Date:** May 05, 2026 **What do you like best about ServiceNow AI Agents?** What I like best about ServiceNow AI Agents is how intuitive and enterprise-ready they feel. The platform makes it easy to automate repetitive work, surface the right information quickly, and improve employee experiences without requiring complex development for every use case. I especially appreciate how the AI capabilities integrate directly into existing workflows instead of feeling like a separate tool. **What do you dislike about ServiceNow AI Agents?** One downside is that successful implementation still depends heavily on strong governance, clean data, and well-designed workflows. AI Agents can surface inconsistencies in existing processes very quickly, so organizations that are not operationally mature may struggle to get the full value. There is also a learning curve around trust, change management, and understanding where human oversight is still necessary. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents are helping reduce repetitive manual work, improve ticket routing accuracy, and accelerate employee support experiences. They make it easier to surface knowledge, automate common requests, and streamline workflows across teams. From an operational perspective, this improves efficiency, reduces response times, and allows technical teams to focus more on strategic work instead of repetitive administrative tasks. ### 25. Streamlined Ops with Powerful Automation **Rating:** 4.5/5.0 stars **Reviewed by:** K Mohammed H. | Senior Associate Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about ServiceNow AI Agents?** I use ServiceNow AI Agents to streamline service operations by automatically triaging requests and guiding users. I appreciate how it solves the issues of slow response during peak request volumes, as the AI handles repetitive queries instantly, reducing pressure on support teams. What I value most is how it balances automation with control, streamlining processes while still allowing flexibility. Automation handles routine requests efficiently, while giving us the option to step in for complex cases. We use it alongside collaboration platforms and monitoring systems to help centralize information and respond to issues more quickly. ServiceNow AI Agents made our workflows more automated and easier to manage, significantly improving operational efficiency. **What do you dislike about ServiceNow AI Agents?** The platform is powerful, but the learning curve can be a bit steep for new users. It can feel complex at the beginning. More simplified templates and ready-to-use workflows would help users get started quickly. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to streamline service operations by automatically triaging requests and guiding users. It solves slow responses during peak volumes by instantly handling repetitive queries, reducing support pressure. ### 26. ServiceNow AI Agents: Seamless Workflow Automation and Major Time Savings **Rating:** 4.0/5.0 stars **Reviewed by:** Shreyash P. | Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 14, 2026 **What do you like best about ServiceNow AI Agents?** ServiceNow AI Agents have made it easier to manage routine tasks and user requests. They help automate repetitive work, provide quick responses, and improve the overall experience for both employees and support teams. I particularly like how they fit into existing ServiceNow workflows, making automation feel seamless. The performance is efficient, and the time saved on automation rather than manual tasks is a great ROI on the investment in ServiceNow agents. **What do you dislike about ServiceNow AI Agents?** One area that could be improved is the learning curve for new users. ServiceNow comes with many features and configuration options, which can feel overwhelming at first. More guided onboarding, tutorials, and real-world examples could help users get value from the platform more quickly. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** It has helped me save over 30% of my time by automating tickets triaging. ### 27. Boosts Developer Workflow with Intelligent Automation, But Needs Refinement **Rating:** 4.5/5.0 stars **Reviewed by:** Suraj G. | Senior Associate Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** April 22, 2026 **What do you like best about ServiceNow AI Agents?** Using ServiceNow AI Agents has been a game changer for me as a Java Spring Boot Developer. I appreciate Now Assist for Code, which bridges the gap between my traditional IDE experience like IntelliJ and the ServiceNow environment with its context-aware inline code completion. It helps me avoid syntax errors without constantly checking the documentation. The 'Code Explain' feature is fantastic for maintaining legacy scripts or complex Business Rules, giving me instant summaries of logic, which cuts down on ramp-up time. I'm also a fan of the Integration Hub ‘Spoke’ generation because it makes connecting our Spring Boot microservices to ServiceNow workflows quicker by reducing repetitive boilerplate code. ServiceNow AI Agents allow me to focus on high-level architecture by handling the 'Boilerplate Tax' through natural language prompts for GlideScript and Flow Designer logic generation. Its capability to summarize complex logs into actionable insights has also reduced our Mean Time to Resolution during production incidents. **What do you dislike about ServiceNow AI Agents?** While the AI is powerful, it isn't perfect. First, it occasionally suffers from 'API Hallucinations,' where it suggests deprecated GlideScript methods that don't align with modern ServiceNow best practices. As a Java dev, I have to double-check the output to ensure it’s not using legacy code. Second, the debugging experience needs improvement. When an agentic workflow fails, the logs can be a bit cryptic compared to a standard Java stack trace, making it hard to see exactly where the LLM lost the context. Lastly, the dependency on 'Data Hygiene' is real. If your Knowledge Base or CMDB isn't perfectly maintained, the AI Agent's effectiveness drops significantly. It’s a great tool, but it requires a lot of foundational 'grunt work' to get it running at 100%. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to automate code generation and script summarization, reducing my 'Boilerplate Tax'. It helps me focus on architecture instead of syntax errors. It also reduces MTTR by summarizing logs into actionable insights, saving hours in root cause analysis. ### 28. Empowers HR with Autonomy, But Data Hygiene is Key **Rating:** 4.0/5.0 stars **Reviewed by:** Servio Q. | Software Engineer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** April 20, 2026 **What do you like best about ServiceNow AI Agents?** I really appreciate the shift from simple chatbots to Agentic AI in ServiceNow AI Agents. It's impressive how these agents can autonomously navigate the AI Agent Fabric to execute cross-departmental workflows. The ability for an HR agent to trigger an IT provisioning flow without manual handoffs is a game changer, taking the platform from 'assistance' to actual 'execution.' I also value how the AI Agent Fabric manages governance effectively, ensuring that autonomy doesn't spiral into disorder. Additionally, the integration with Microsoft Copilot has been useful, allowing the ServiceNow agents to act as the 'execution' arm and handle tasks like a password reset or asset check in the background. The initial setup was smooth, with data being easily exported into a CSV file and imported to ServiceNow AI. **What do you dislike about ServiceNow AI Agents?** I find the dependency on perfect data hygiene a real challenge with ServiceNow AI Agents. If your CMDB is a mess, it could lead to 'automated chaos' by executing wrong workflows. The AI can make confident but incorrect decisions because it doesn't spot bad data like humans can. Plus, the Plus-tier licensing and consumption-based pricing make it quite a heavy lift for organizations that aren't already highly digitally mature. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to automate HR dashboard processing and create better insights. It enables HR to update dashboards independently, moving from assistance to execution with cross-departmental workflows, eliminating manual handoffs. ### 29. ServiceNow AI Agents enable smart **Rating:** 5.0/5.0 stars **Reviewed by:** Vivek B. | Enterprise (> 1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about ServiceNow AI Agents?** ServiceNow AI Agents enable smart, automated workflows using natural language and integrations across tools. They boost efficiency and reduce manual work, but require proper setup and data quality to deliver consistent results. **What do you dislike about ServiceNow AI Agents?** ServiceNow AI Agents still have a few drawbacks. They require significant setup and fine-tuning to work effectively, and outcomes can vary if the underlying data or workflows aren’t well-structured. There’s also limited transparency in how some decisions are made, and complex use cases may still need custom development, reducing the “out-of-the-box” advantage. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents solve key problems like manual, repetitive work, slow ticket resolution, and disconnected systems. They automate tasks, understand user requests in natural language, and trigger workflows across tools. For me, this means faster operations, less manual effort, improved user experience, and the ability to scale automation across IT and business processes without constantly building custom solutions. ### 30. Fast, Efficient Ticket Creation—But SEO Issues Can Be Misclassified **Rating:** 3.5/5.0 stars **Reviewed by:** Paul S. | SEO Manager, Enterprise (> 1000 emp.) **Reviewed Date:** July 02, 2026 **What do you like best about ServiceNow AI Agents?** What I liked most was how quickly I could create tickets. The process felt very efficient: I could describe the issue in natural language, and the agent would generate a structured ticket fairly quickly. **What do you dislike about ServiceNow AI Agents?** The agent sometimes miscategorized tickets or missed important technical context on more detailed SEO issues (crawlability, JS rendering, etc.). It also tended to default to a generic IT categorization rather than reflecting the specific SEO details. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** The speed of creating tickets for SEO-related work is extremely helpful. I like being able to describe an issue in natural language and then receive a well-structured ticket in return. It saves me a lot of time, although it still requires human oversight. ### 31. Revolutionized IT Service Management with AI Enhancements **Rating:** 4.5/5.0 stars **Reviewed by:** Swathi K. | Senior Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about ServiceNow AI Agents?** Implementing ServiceNow AI Agents has been a game-changer for our IT Service Management. I love how the GenAI-powered agents not only provide links to articles but also summarize resolutions and guide users through workflows in plain English. We’ve seen a 30% reduction in Tier 1 tickets because the agents handle routine queries instantly, which has significantly improved our employee experience with 24/7 human-like support. The most compelling aspect is their evolution from simple assistants to autonomous "doers," handling complex workflows across the enterprise. I also find the Contextual Memory feature exceptional; it transforms the AI from a basic bot into a digital colleague that understands our specific environment. **What do you dislike about ServiceNow AI Agents?** While ServiceNow AI Agents are powerful, they aren’t perfect. It’s only as smart as your notes: If your company’s help guides are old or messy, the AI will give bad advice. It doesn't 'know' things on its own; it relies on your data being perfect. Hard to set up: You can't just 'turn it on.' It takes a lot of time and technical experts to build the workflows and make sure the AI knows what to do. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents reduced our Tier 1 tickets by 30% by handling routine queries instantly. They improve the employee experience with 24/7 human-like support and evolve from assistants to 'doers' for complex multi-step workflows. ### 32. Autonomously Simplifies Workflows, But Setup Can Be Tedious **Rating:** 4.5/5.0 stars **Reviewed by:** Khushpreet K. | Payment Solution Specialist, Banking, Enterprise (> 1000 emp.) **Reviewed Date:** June 23, 2026 **What do you like best about ServiceNow AI Agents?** I like that ServiceNow AI Agents act as true digital coworkers that don't just answer questions but autonomously execute complex, multi-step workflows across disjointed corporate systems to resolve issues end to end. It makes my life easier by actually doing the work for me, like fixing a password or ordering a laptop instantly instead of just giving me a link to read. **What do you dislike about ServiceNow AI Agents?** It performs poorly if your underlying knowledge base or system data is disorganized and pricing can be unpredictable. Also, the long and tedious setup and struggle with complex requests. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to automate repetitive IT, HR, and customer service workflows, eliminating manual ticket dispatching and resolving end-to-end workflows efficiently. ### 33. Streamlined Task Automation, Some Setup Challenges **Rating:** 4.0/5.0 stars **Reviewed by:** Neil B. | Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about ServiceNow AI Agents?** I like ServiceNow AI Agents for its efficient and pretty good responsiveness time, which helps me automate repetitive tasks. I appreciate the features like intelligent routing, suggested responses to manual work, and ticket triaging, which assist in providing support to our customers. These features help me reduce the need for repetitive tasks, speed up response times, and maintain consistent workflows. **What do you dislike about ServiceNow AI Agents?** I found that the setup and customization takes some time and has a learning curve when first getting started. It wasn't the easiest, I would say it took some time to do. If you could have out-of-the-box templates for us to use, that would be good in my opinion, or a generally simpler workflow setup. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to automate routing tasks, troubleshoot issues, and keep workflows consistent. It helps speed up response times and reduce repetitive tasks with features like intelligent routing and ticket triaging. ### 34. Streamlines Workflow with Ease and Efficiency **Rating:** 4.5/5.0 stars **Reviewed by:** Prabhat R. | Enterprise (> 1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about ServiceNow AI Agents?** I appreciate how ServiceNow AI Agents helps in automating workflows, which in turn optimizes costs and facilitates a faster turnaround time. I find it easy to configure and use, which makes the whole process smoother. I also like the summarization and resolution note generation features, as well as the change risk explanation, which are used repetitively by employees and add value to each ticket. The initial setup was relatively easy, which is always a plus. **What do you dislike about ServiceNow AI Agents?** I don't like that the recommended action doesn't allow me to search by product and area in Yokohama. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents for automating workflows, optimizing costs, and achieving faster turnaround times. The ease of configuring and using it, along with features like summarization and resolution note generation, is beneficial. These tools are used regularly by employees, enhancing efficiency and consistency. ### 35. Superb for Reducing Manual Effort and Noise **Rating:** 5.0/5.0 stars **Reviewed by:** Sk A. | Senior Data Engineer | Big Data | Spark (Scala & PySpark), Computer & Network Security, Enterprise (> 1000 emp.) **Reviewed Date:** April 10, 2026 **What do you like best about ServiceNow AI Agents?** I use ServiceNow AI Agents for my work workflow, and it's awesome to use. Its tips are easy to follow. The biggest value is the reduction in manual effort and noise, especially in a data platform like Cloudera. When multiple alerts come from the same root issue, the AI agent intelligently deduplicates them into a single incident, which prevents alert fatigue. It ensures the right team is notified instantly through emails or integrations, improving response time. **What do you dislike about ServiceNow AI Agents?** One area where ServiceNow AI Agents can be improved is accuracy in early stages. The predictive models depend heavily on historical data, so when the system is newly set up or when new types of incidents occur (like new Spark pipeline failures in Cloudera), the AI may misclassify incidents or assign incorrect priorities. It gets better over time, but the initial tuning phase can require manual intervention. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to reduce manual effort and alert noise. It deduplicates alerts into single incidents, preventing fatigue, and notifies the right team immediately, improving response times. ### 36. Streamlines Complex Processes, Needs Easier Customization **Rating:** 5.0/5.0 stars **Reviewed by:** Matthew S. | Enterprise (> 1000 emp.) **Reviewed Date:** May 06, 2026 **What do you like best about ServiceNow AI Agents?** I like using ServiceNow AI Agents because they are fun and can do more. I also appreciate that we can customize our complex processes, and it has helped a lot with our cross-team processes. What used to take an hour now only takes a few minutes. The ability to automate tasks and answer questions that are done manually today is very helpful. **What do you dislike about ServiceNow AI Agents?** Creating custom agents wasn't very user-friendly, which made it hard for others on the team to help. The initial setup was a bit rocky because we had to repair the plugin several times to get it to function. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to automate tasks, handling questions and manual tasks, which streamlines knowledge management. It also helps reduce cross-team processes from an hour to a few minutes by allowing customization of complex processes. ### 37. Deep ITSM Integration with Learning Curve Challenges **Rating:** 4.0/5.0 stars **Reviewed by:** aswin k. | Enterprise (> 1000 emp.) **Reviewed Date:** May 06, 2026 **What do you like best about ServiceNow AI Agents?** I like the deep integration of ServiceNow AI Agents into the ITSM module. It's great how it relates the incident type with the potential root cause and associated past incidents, which helps streamline our processes significantly. **What do you dislike about ServiceNow AI Agents?** I think ServiceNow AI Agents should have a graphical agent onboarding feature where I can easily pick and drop which agents I need for different parts of the organization. Also, being able to see the value produced by an agent and compare it with human performance would be helpful. The initial setup wasn't very smooth since it needs some initial learning, especially in figuring out how to onboard agents and connect them seamlessly. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents help with knowledge case recommendation and summarization. The deep integration into ITSM relates incident types with root causes and past incidents, streamlining problem-solving. ### 38. Simplifies Access to Resources with Intuitive Setup **Rating:** 5.0/5.0 stars **Reviewed by:** kristen j. | Enterprise (> 1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about ServiceNow AI Agents?** I love that ServiceNow AI Agents allows us to ask anything and access any tools or resources within ServiceNow quickly. It provides us with the data or reports that we need efficiently. The setup was simple and intuitive, making it easy to get started. I also appreciate how it helps us see things we didn't think of and determines the best tools for the job. **What do you dislike about ServiceNow AI Agents?** Sometimes the resources provided aren't exactly what I'm looking for, especially when I'm searching for data regarding a time period of Incidents. It might be because of how I'm asking the questions. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents help us identify things we didn't consider and find the best tools for tasks. I like the ability to ask anything and access tools or resources quickly, providing quick data or reports on demand. ### 39. Seamless Service Now Fit That Automates Requests and Speeds Up Support **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.) **Reviewed Date:** June 15, 2026 **What do you like best about ServiceNow AI Agents?** I like how it fits naturally into the existing Service Now environment. We were able to automate a number of repetitive service requests and give users quicker responses without having to redesign our process. The AI agent also makes it easier to surface relevant information from our knowledge base, which has helped reduce the workload for the support teams. **What do you dislike about ServiceNow AI Agents?** While the platform is powerful, getting the best results requires some upfront configuration and ongoing optimization. The quality of the responses depends heavily on the underlying knowledge content, so maintaining that content is important. There’s also a learning curve for teams that are new to AI-driven automation. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** We are using it to automate common support interactions and handle requests more effectively. This has reduced manual effort for our service desk team, improved response times, and allowed agents to focus on more complex issues. Users are also able to find answers faster through the self-service options. ### 40. Well-Integrated AI Agents That Automate Tasks and Boost Support Efficiency **Rating:** 4.0/5.0 stars **Reviewed by:** Tapan D. | System Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about ServiceNow AI Agents?** ServiceNow's AI capabilities are well integrated into the broader platform rather than feeling like a standalone add-on. The AI Agent features help automate routine tasks, improve self-service experiences, and assist support teams in resolving issues more efficiently. **What do you dislike about ServiceNow AI Agents?** The platform can have a steep learning curve, especially for organizations new to ServiceNow. Configuring advanced AI workflows often requires platform expertise, and some use cases may need additional customization before delivering maximum value. Cost can also be a consideration for some. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agent helps reduce manual effort for repetitive support and operational tasks. By automating common requests and providing intelligent assistance to users and agents, it improves response times and operational efficiency. ### 41. Streamlined Workflow Automation with Inconsistent Results **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User | Enterprise (> 1000 emp.) **Reviewed Date:** June 12, 2026 **What do you like best about ServiceNow AI Agents?** I love how ServiceNow AI Agents makes creating a form faster with descriptions and how agent-to-agent communications facilitate faster workflows. The text-to-action workflows are the best part for me, as prompting gives actionable items in the workflow. I appreciate that the single data model provides access to all the context needed for my workflows. This feature allows me to generate any data or report I need. Furthermore, the initial setup of ServiceNow AI Agents was very quick and easy. **What do you dislike about ServiceNow AI Agents?** I'm still exploring the whole agent ecosystem. The problem is inconsistency in results. The same prompts don’t guarantee similar outcomes, and this is the biggest challenge. Prompting should be reliable, at least after testing. If I say create a workflow with a specific command, I expect a consistent result with the same prompt. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents for automating service request form creation, speeding up agent communications, and enabling faster workflows. Creating forms is quicker with descriptions, and text-to-action workflows provide access to necessary data and reports. ### 42. ServiceNow AI Agents Streamline Workflows and Save Time **Rating:** 4.5/5.0 stars **Reviewed by:** Rory R. | ServiceNow Administrator, Mid-Market (51-1000 emp.) **Reviewed Date:** June 23, 2026 **What do you like best about ServiceNow AI Agents?** ServiceNow Ai Agents I like how easy it is to connect AI Agents with existing to our existing workflows and features such as AI search, knowledge Management and workflow automation help streamline our daily opertions, making smoother and saving a lot if time. **What do you dislike about ServiceNow AI Agents?** There’s still room to improve accuracy. Every so often, the agent gives responses that I have to double check and confirm before I feel comfortable sharing them with users. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents help our IT operations team automate routine tasks and reduce manual effort and this has made it easier for us to resolve requests more fastest while keeping our processes consistent and reliable. ### 43. Highly Customizable Agents That Build a Strong Knowledge Base for Leaner Operations **Rating:** 5.0/5.0 stars **Reviewed by:** Pieter E. | Head of Service Transformation, Enterprise (> 1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about ServiceNow AI Agents?** The ability to customize the agents to a specific business need is key. Helping front line incidents build a valuable knowledge base to utilize for automated workflow activation. It will help shift our business from having a heavy loaded front line team to a lean approach whilst focusing on the improvement activities and understanding where else we could implement more agents. **What do you dislike about ServiceNow AI Agents?** What I would like to see is an AI agent that could tap into efficiencies early on without having a complete CMDB - In essence, suggest an approach to speed up adoption whilst building a CMDB **What problems is ServiceNow AI Agents solving and how is that benefiting you?** Speed of delivery and actions around repetitive tasks. Reduce the need for multiple bums on seats. Reduce MTTR and improve customer experience whilst providing the support teams with clean elements for enriching incident date. ### 44. ServiceNow AI Agents Save Time and Catch Configuration Issues Early **Rating:** 5.0/5.0 stars **Reviewed by:** Markus B. | CMDB Administrator, Mid-Market (51-1000 emp.) **Reviewed Date:** June 24, 2026 **What do you like best about ServiceNow AI Agents?** Integrating ServiceNow with the CMDB and Discovery tools has been very useful for our team and AI agents make it easier to catch configuration issues early and suggest practical recommendations. When I’m handling asset related tasks, they save me a lot of time versus having to manually review and cross check records. **What do you dislike about ServiceNow AI Agents?** Some recommendations still need to be manually verified before they can ve implemented and in larger environments the setup process for ServiceNow AI Agents can take a significant amount of time. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** It helps us keep our configuration data cleaner and makes troubleshooting faster, so our infrastructure team spends less time digging through routine issues. ### 45. Streamlines IT Operations with Effective Automation **Rating:** 4.5/5.0 stars **Reviewed by:** Soumya Ranjan P. | Associate Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** April 22, 2026 **What do you like best about ServiceNow AI Agents?** I really appreciate how ServiceNow AI Agents automate repetitive tasks like ticket categorization and prioritization, which reduces manual effort and improves response times. It's valuable because it significantly improves operational efficiency and reduces human error by allowing AI agents to handle high-volume, low-complexity tasks like ticket categorization and routing. Also, the initial setup was clear and a bit easy, as the documents provided step-by-step instructions. **What do you dislike about ServiceNow AI Agents?** AI agents can be improved in handling complex queries, initial setup and training, natural language nuance, and have integration gaps. There's a need to enhance natural language understanding to interpret multi-intent queries and to use contextual data across ServiceNow modules for richer, more accurate responses. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents for IT operations, automatically categorizing incidents and routing tickets, which reduces manual effort and improves response times while minimizing human error. ### 46. Effortless Setup, Enhances Efficiency **Rating:** 5.0/5.0 stars **Reviewed by:** Michael W. | Enterprise (> 1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about ServiceNow AI Agents?** I like ServiceNow AI Agents because they provide true practical use cases that help increase production and efficiency of our human and non-human assets. I find it valuable that they free up human resources, offering substantial opportunities to boost production, which can translate directly to monetary value. The initial setup of ServiceNow AI Agents was extremely simple, and it's easy to use and configure. **What do you dislike about ServiceNow AI Agents?** Currently, there are some directives that are not solved for across the estate from a platform perspective. Other than current limitations due to what is readily available we've been able to use AI Agents to an increased potential. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to handle mundane tasks autonomously, freeing up human resources. This increases production and efficiency, directly translating to a monetary value. ### 47. Streamlines DevOps with Robust Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User | Mid-Market (51-1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about ServiceNow AI Agents?** I enjoy using ServiceNow AI Agents most when they reduce manual DevOps work around incidents, changes, and troubleshooting. They work especially well for summarizing incidents, checking recent deployments, suggesting probable root causes, pulling relevant runbooks, and assisting with change risk reviews. For DevOps, the real value comes when AI Agents are connected with CMDB, monitoring tools, CI/CD pipelines, and past incident data, as this supports faster triage and lower MTTR. **What do you dislike about ServiceNow AI Agents?** A few things I think could be improved: ServiceNow AI Agents are useful, but sometimes they depend heavily on how clean and complete the CMDB, incident history, and knowledge base are. If the underlying data is outdated or incomplete, the suggestions may not be very accurate. For DevOps, I would like better integration with tools like Kubernetes, Azure DevOps/GitHub Actions, monitoring platforms, and deployment history. The agents should be able to correlate alerts with recent releases, infra changes, logs, and runbooks more accurately. Also, for production incidents, AI recommendations need to be more transparent. I want to know why it suggested a root cause or action before trusting it during high-pressure troubleshooting. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents for end-to-end onboarding and reducing manual DevOps work. They summarize incidents, check deployments, suggest root causes, and aid in change risk reviews, supporting faster triage and reducing MTTR. ### 48. Streamlined Service Desk with Conversational AI **Rating:** 4.0/5.0 stars **Reviewed by:** manoj k. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about ServiceNow AI Agents?** I like that ServiceNow AI Agents is conversational, making interactions smoother and more natural. It's easy to configure, which simplifies the setup process a lot. Additionally, it helps our service desk agents get the help they need from knowledge articles quickly and reduces the resolution time on tickets. I also found it quite easy to enable the skills, which is definitely a plus. **What do you dislike about ServiceNow AI Agents?** I still see some issues while enabling the Agentic AI use cases. Some features while enabling the MFA reset use case had some challenges, which were fixed after opening a Hi ticket. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents for password resets and to help our service desk agents quickly get the help they need from knowledge articles, reducing resolution time on tickets. ### 49. Efficient Document Analysis, Needs Improvement on Accuracy **Rating:** 5.0/5.0 stars **Reviewed by:** Laxmi G. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about ServiceNow AI Agents?** I use ServiceNow AI Agents for reducing manual effort and transforming how we automate processes. I appreciate that once configured, they are pretty much on auto-pilot, which is super handy. We implemented the document analyzing agent, and it helps our analysts by extracting specific information from documents over 200 pages, which drastically cuts down on manual review time. The initial setup was pretty easy. **What do you dislike about ServiceNow AI Agents?** The agents hallucinate much. If we ask it to get information on dates, it gets the current date even though a different date is mentioned. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** I use ServiceNow AI Agents to reduce manual effort and automate processes, like analyzing documents over 200 pages. Once configured, they operate almost on autopilot, extracting information and aiding analysts in reviewing extensive documents. ### 50. Proof of Concept Implementation **Rating:** 4.0/5.0 stars **Reviewed by:** Ryan M. **Reviewed Date:** May 06, 2026 **What do you like best about ServiceNow AI Agents?** What stands out most about ServiceNow AI Agents is how seamlessly they integrate into existing workflows, enabling automation without heavy reconfiguration. They reduce manual effort by handling repetitive tasks, improve response times, and provide consistent, data-driven decisions. Their ability to learn from interactions and continuously improve also makes them more effective over time. **What do you dislike about ServiceNow AI Agents?** One drawback is that setup and customization can be complex, especially for teams without deep ServiceNow expertise. The AI may also require ongoing tuning to deliver accurate results, and costs can add up depending on usage and licensing. **What problems is ServiceNow AI Agents solving and how is that benefiting you?** ServiceNow AI Agents help reduce manual workload by automating repetitive tasks like ticket handling and request routing. This speeds up response times, improves consistency, and frees up time for more strategic work. - [View ServiceNow AI Agents pricing details and edition comparison](https://www.g2.com/products/servicenow-ai-agents/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-10+12%3A43%3A47+-0500&secure%5Bsession_id%5D=8c22ae25-8d96-4cba-bf7c-90ace156050f&secure%5Btoken%5D=a2b6ec545e58948a6e37385310a0b8255954f311a4476a81082cbc36d8fd9338&format=llm_user) ## ServiceNow AI Agents Integrations - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) - [Amazon Connect](https://www.g2.com/products/amazon-connect/reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - [AWS Adapter for OIC](https://www.g2.com/products/aws-adapter-for-oic/reviews) - [Azure DevOps Server](https://www.g2.com/products/azure-devops-server/reviews) - 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Independent Decision Making - Adaptive Responses - Task Execution - Problem Solving **Functionality - AI Agent Builders** - Omni-channel Support - Agent Branding - Proactive Response Capabilities - Seamless Human Escalation **Autonomy - AI IT Agents** - Adaptive Responses - Task Execution - Independent Decision Making - Problem Solving **Intent & Action Handling - Conversational Interface Agents ** - Data Retrieval from Connected Systems - Intent Recognition & Mapping - Action & Workflow Triggering **Generative AI** - AI Text Generation - AI Text Summarization **Data and Analytics - AI Agent Builders** - Analytics & Reporting - Contextual Awareness - Data Privacy Compliance **IT Ticket Management - AI IT Agents** - Ticket Status Updates - SLA Monitoring - Ticket Categorization - Ticket Assignment - Automated Ticket Creation **Customer Query Resolution - AI Customer Support Agents** - Automated Ticket Resolution - Contextual Response Generation - Sentiment Analysis - Knowledge Base Utilization - Multilingual Support **Agentic AI - AI Agents** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Context & Personalization - Conversational Interface Agents ** - Conversation Context Persistence - User Identity & Permission Awareness **Integration - AI Agent Builders** - Workflow Automation - API Usage - Platform Interoperability - CRM Data Integration **IT Support Automation - AI IT Agents** - Knowledge Base Utilization - Workflow Automation - Real-Time Troubleshooting - User Self-Service Assistance - Proactive Issue Detection **Customer Interaction Automation - AI Customer Support Agents** - Proactive Customer Outreach - Feedback Collection - Escalation Handling - Workflow Optimization **Enterprise Integration & Deployment - Conversational Interface Agents ** - Enterprise Application Integrations - Security & Access Controls **Automation** - Customer Interaction Automation - Feedback Collection - Document Processing **Autonomy** - Independent Decision Making - Adaptive Responses - Task Execution - Problem Solving ## Top ServiceNow AI Agents Alternatives - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews) - 4.3/5.0 (1,163 reviews) - [UiPath Agentic Automation](https://www.g2.com/products/uipath-agentic-automation/reviews) - 4.6/5.0 (6,137 reviews) - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - 4.3/5.0 (653 reviews)