“We’re building generative AI into our platform so customers can maximize their ROI: Return on Intelligence” – Bill McDermott, Chairman and CEO, ServiceNow.
Virtual Agent is an intelligent chatbot fully integrated across the ServiceNow platform to enable self-service and quick resolution of common queries. These agents are no longer ‘nice-to-have’ tools; they now serve as the first line of support in handling queries and helping reduce operational costs significantly.
The integration of GenAI makes ServiceNow Virtual Agent more than a simple chatbot – overcoming the past traditional limitations to comprehend natural language and handle complex workflows, all while providing personalized user experiences. GenAI-powered ServiceNow Virtual Agent understands unstructured queries, handles multi-step processes with ease, and maintains a conversational context across interactions. It simplifies IT management and becomes a game-changer for businesses striving for higher user satisfaction and operational efficiency.
As ServiceNow continues to innovate and embed AI across all layers of the platform, organizations can leverage these advancements to deliver faster issue resolutions and transform overall service delivery. Let’s explore the top use cases where ServiceNow’s revolutionary GenAI-powered Virtual Agents simplify routine IT requests, accelerate issue resolution, and elevate the overall user experience.
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Real-World GenAI Use Cases in Service Now Virtual Agent
1) Self–Resolution for Common Issues: Reduces Call Volumes by 30–50% and
Improves Resolution Time
A significant portion of Virtual Agent interactions comes from repetitive, simple requests like password resets, printer setup, or VPN troubleshooting. Handling these requests manually consumes valuable agent time and frustrates users who expect quick solutions.
GenAI-powered Virtual Agents can help users by guiding them through interactive diagnostics, suggesting one-click fixes, and even starting automated fixes in the background. For instance, a “Can’t launch Microsoft Teams” ticket can be resolved with step-by-step guidance or by sending a cleanup script directly to the user’s device. This allows end users to resolve issues by themselves, resulting in the reduction of call volumes by 30-50% and improving resolution time.
2) Intelligent Access and Identity Management: Automates Manual Effort by 80%
Tickets like Password-resets and access-related queries require strict identity verification steps and traditionally require human oversight which can lead to delayed resolution.
GenAI can enhance ServiceNow Virtual Agents by enabling conversational identity checks, such as cross-verifying MFA prompts, security questions, or SSO integration, before automatically completing the reset. This reduces manual efforts by up to 80% while ensuring compliance with security standards and improving user experience.
3) Voice-Enabled Virtual Agent Assist: Improves AHT by 20-30%
Voice-enabled Virtual Agents can handle inbound calls at the first point of contact and then transfer the call to human agents for next steps.
GenAI can facilitate smooth handoff and better responses from human agents by acting as a context-aware co-pilot. It retains the full conversation history, summarizes main points, and provides contextual recommendations during live interactions. Agents receive suggested responses, related KB articles, and next-step workflows while acting on the issue.
This empowers human agents to focus on empathetic problem-solving and providing a better customer experience through tailored responses. This results in better customer satisfaction scores and reduces average handling time (AHT) by 20-30%.
4) Chatbot Training & Intent Generation: Keeps Your Agent Up to Date
Virtual Agents rely heavily on their intent libraries, which can become outdated quickly. Manually updating these intents requires significant manual work from administrators and developers.
GenAI can analyze past tickets, chat transcripts, and email requests to automatically create new intents, improve existing ones, and find gaps in coverage. This helps Virtual Agents adapt to the evolving nature of issues raised, while enhancing accuracy and reducing maintenance effort.
5) Conversational Knowledge Retrieval: Reduces L1 Ticket Volumes by 30-40%
Traditional chatbots struggle when users explain problems in natural, unstructured language that doesn’t match specific Knowledge Base article titles. GenAI enables contextual understanding of user queries and retrieves the most relevant knowledge articles or troubleshooting guides, even if an exact match is not present.
For instance, if a user types “my laptop keeps crashing after update,” ServiceNow Virtual Agent can bring up a guide called “Resolving Windows 11 Blue Screen Errors”. This semantic retrieval gives users accurate self-service content, reduces unnecessary escalations, and deflects 30-40% of L1 tickets.
5) Conversational Knowledge Retrieval: Reduces L1 Ticket Volumes by 30-40%
Traditional chatbots struggle when users explain problems in natural, unstructured language that doesn’t match specific Knowledge Base article titles. GenAI enables contextual understanding of user queries and retrieves the most relevant knowledge articles or troubleshooting guides, even if an exact match is not present.
For instance, if a user types “my laptop keeps crashing after update,” ServiceNow Virtual Agent can bring up a guide called “Resolving Windows 11 Blue Screen Errors”. This semantic retrieval gives users accurate self-service content, reduces unnecessary escalations, and deflects 30-40% of L1 tickets.
6) End-to-End Catalog Transactions via Virtual Agent: Reduces Approval Time to Minutes
Certain catalog requests in ServiceNow involve multiple steps and approvals, which can be frustrating for users when handled incoherently. Multi-turn transactional agents powered by GenAI can manage a complex set of tasks in a single conversation. They guide users step-by-step and automatically carry out the necessary steps.
For instance, onboarding a new employee involves placing requests for office equipment, workstation set up, and registration for training sessions. GenAI-powered Virtual Agent can handle the full sequence of events: it can confirm the user’s department and role, check inventory to assign workplace setup and enroll the new hire in relevant courses, all through a single conversation. This enables businesses to reduce approval duration from hours to just a few minutes and facilitate a smooth employee experience.
7) Application Access & Licensing: Saves up to 15% on Licensing Costs
Provisioning applications and licenses often requires several approvals and policy checks, which delays access to end users and adds additional workload to IT staff.
GenAI-enhanced Virtual Agents can manage these requests by automatically checking policies, routing approvals when needed, and starting fulfillment workflows. For example, when a user requests access to a design tool, the Virtual Agent can check for license availability, departmental compliance, and security requirements before provisioning. This aids in reclaiming unused licenses and saves 5-15% on SaaS licenses and ensures only authorized users gain access to sensitive apps.
8) Device Health & Performance Assistant: Eliminates Unnecessary Site Visits
Though devices slow down over time and throw errors, users often raise tickets only when performance has degraded significantly.
GenAI-powered virtual agents can proactively monitor and improve device health by regularly checking system data like CPU usage, memory use, disk health, and timely software updates. When any issue is detected, the virtual agent can alert the user and help by launching automated fixes. Over time, these agents support cost savings by identifying recurring issues, recommending preventive actions, and reducing unnecessary site visits.
9) Visual Incident Processing: Boosts First-Call Resolution and Ticket Accuracy
Describing complex issues in text leads to incomplete tickets, misrouting, and delays. Language barriers can further complicate resolutions. With GenAI capabilities, users can share screenshots or images of errors directly with the Virtual Agent. The agent can analyze the image, identify the issue, search relevant Knowledge Base articles for self-help options, or create a ticket with complete and accurate details. This increases First Call Resolution.
The severity of the incident can also be set based on the application’s standing in the support priority matrix. This feature is useful across all modules – ITSM, ITOM, HRSD, FSM, and Facilities Management.
Ready to Redefine Your IT Support Experience?
ServiceNow Virtual Agent demonstrates how GenAI can upgrade service delivery from a mere transaction to a connected, value-rich experience. It brings a blend of conversational AI, contextual search, and seamless integration across sectors to enable quick resolution of issues with a personalized touch.
When configured thoughtfully, Virtual Agent becomes a strategic driver of business efficiency. A trusted implementation partner like KANINI can help organizations make the most out of GenAI-Powered ServiceNow Virtual Agent. Talk to our experts today to learn more.
Frequently Asked Questions
GenAI adds natural language understanding and generative capabilities to Virtual Agent so that it can interpret conversational queries, generate context-aware responses, and suggest follow-up actions. This enables Virtual Agent to produce richer outputs that speed up self-service and eliminate repetitive work.
Use cases that drive the largest savings are automation of high-volume, repeatable tasks (such as password resets, routine account provisioning, knowledge deflection) that replace manual, multi-step work. They directly reduce agent time and ticket throughput, becoming key drivers for faster ROI.
Yes, Virtual Agent can integrate with ServiceNow Flow Designer and Workflow Studio, enabling multi-turn conversations to executable actions, so that an end-to-end process can run from a single chat session. GenAI improves the conversation layer (intent, summarization, branching), while Flow Designer performs reliable backend orchestration.
ServiceNow Virtual Agent reduces ticket load by enabling users to resolve common IT issues through automated chat interactions instead of manual help desk submissions. It integrates knowledge bases, workflows, and backend systems to instantly suggest relevant solutions and trigger fulfillment actions. With GenAI enhancements, it further improves accuracy, deflection rates, and time-to-resolution by understanding complex user intents and automating the next steps.
Traditional chatbots follow predefined scripts and can struggle when users phrase requests in unfamiliar ways. In contrast, GenAI-powered ServiceNow Virtual Agents use advanced language models to understand intent, context, and tone, allowing them to respond naturally and adaptively.
Beyond just answering queries, they connect directly with the Now Platform to execute workflows, fetch data, and deliver end-to-end resolutions, making interactions more human-like and outcome-driven.
Author
Rama Pappu
Rama is a ServiceNow Architect at KANINI, with 18 years of experience in the IT industry and a robust background in consulting and design. He has a proven record of assisting enterprise customers in optimizing and expanding their ServiceNow platform.
