Once you have an AI Agent use case, the next step is building it. In this video, Ritesh Shah and Dustin Gannon walk through a hands-on ServiceNow AI Agent Studio demo, showing how to build a practical IT helpdesk agent that can deflect common support issues like camera problems, Outlook questions, Zoom troubleshooting, and other Level 1 requests. This session focuses on a real business problem: reducing repetitive incidents and freeing service desk teams to focus on higher-value work. —————————————————————————— ⏱ TIMESTAMPS —————————————————————————— 00:04 - Choosing a real business use case 01:14 - Connecting the use case to Group Action Framework and Process Mining 02:20 - Creating an AI Agent in AI Agent Studio 02:32 - Using AI to help build the AI Agent 03:05 - Reviewing the generated agent name, role, and instructions 03:39 - Starting small and simplifying the agent steps 04:06 - Security, roles, ACLs, and access controls 05:16 - Reusability and avoiding duplicate agents 05:37 - Testing a simple AI Agent with no tools 06:00 - Adding triggers and exploring email-based agent triggers 07:16 - Testing the agent with a camera troubleshooting issue 07:42 - Understanding the testing interface and developer debugging view 08:12 - Why general AI can help with Level 1 troubleshooting 09:53 - How ReAct reasoning works inside the agent 10:21 - Why and when to add tools 11:36 - Adding Web Search for up-to-date troubleshooting 12:01 - Tool options: Knowledge, Integration Hub, REST APIs, and MCP servers 12:59 - Supervised vs autonomous tool execution 13:39 - Updating instructions so the agent knows when to use Web Search 14:40 - Testing Web Search in action 15:21 - Reviewing sources and official support results 16:22 - Understanding non-deterministic AI outputs 17:36 - Deployment channels: Analysis Panel and Virtual Agent 18:21 - Conversational interface channels: Teams, Slack, SMS, and more —————————————————————————— 📌 WHAT YOU’LL LEARN —————————————————————————— ✅ How to turn a real ServiceNow use case into an AI Agent ✅ How to build a simple IT helpdesk agent in AI Agent Studio ✅ How AI can generate an agent name, role, description, and steps ✅ Why starting small leads to better agent design ✅ How roles, ACLs, and least-privilege access apply to AI Agents ✅ Why reusability matters when building agents ✅ How to test and debug agents inside AI Agent Studio ✅ When to add tools like Web Search, Knowledge Retrieval, APIs, and Integration Hub ✅ How to deploy agents through the Analysis Panel, Virtual Agent, and other channels —————————————————————————— 🎬 DEMO: IT Issue Resolver Agent —————————————————————————— The demo walks through building an IT Issue Resolver Agent designed to help employees troubleshoot common technology issues. —————————————————————————— 🛠 TOOLS AND CAPABILITIES COVERED —————————————————————————— This video highlights several core AI Agent Studio concepts: 🤖 AI-assisted agent creation 🔐 Security and access controls 🔁 Reusability checks ⚡ Triggers 🌐 Web Search Tool 📚 Knowledge Retrieval 🔗 Integration Hub and REST APIs 🧠 ReAct reasoning —————————————————————————— 💡 KEY TAKEAWAY —————————————————————————— Start simple, test quickly, and add tools only when they solve a real gap. A basic AI Agent can already help with common Level 1 support issues. But when you need the agent to stay current, access internal knowledge, connect to external systems, or take action, tools make it more powerful. The goal is not to build the most complex agent. The goal is to build an agent that delivers real business value — reducing repetitive incidents, improving response quality, and helping service desk teams focus on harder problems. —————————————————————————— 🔗 RELATED VIDEOS IN THIS SERIES —————————————————————————— Explore the rest of our AI Agent series to learn more about identifying AI Agent use cases, Agentic AI architecture, AI Agent Studio, ServiceNow tools, governance, deployment channels, and real-world enterprise automation patterns. —————————————————————————— 🏷 ABOUT THIS SERIES —————————————————————————— This series explores AI Agents in ServiceNow — from use case selection and architecture to hands-on implementation, governance, testing, and deployment. Built for ServiceNow architects, developers, administrators, platform owners, and business leaders looking to create enterprise AI solutions that deliver measurable business outcomes. #ServiceNow #AIAgents #AgenticAI #NowAssist #AIAgentStudio #ITSM #WorkflowAutomation #EnterpriseAI #VirtualAgent #ServiceNowDeveloper