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How can AI Agents improve Incident Management in ITSM?

abdussaboor
Kilo Contributor

Hello everyone,

I am currently learning ServiceNow and exploring AI Agents and ITSM. I would like to understand how AI Agents can improve Incident Management in a real-world environment.

I have a few questions:

  1. How does ServiceNow AI automatically categorize and prioritize incidents?

  2. Can AI assign tickets to the correct assignment group without manual work?

  3. What are best practices for safely implementing AI in ITSM?

  4. Should beginners start with AI suggestions instead of full automation?

I am using a developer instance for learning purposes. Any guidance or documentation links would be very helpful.

Thank you.

3 REPLIES 3

Nayan ArchX
Tera Guru
Answer generated by Now Assist
  • AI Agents, such as ServiceNow's Virtual Agent, can be integrated with IT Service Management (ITSM) to automate and streamline common IT support tasks.
  • The Virtual Agent can be activated by users with the admin role and provides features like a designer for building conversational topics, integration with third-party messaging platforms (e.g., Microsoft Teams, Slack), and the ability to transfer conversations to live agents if needed 1.
  • ServiceNow offers pre-defined Virtual Agent topics specifically for ITSM, such as checking IT ticket status or reporting IT issues. These can be accessed by installing the "ITSM Virtual Agent Conversations" plugin, which requires IT Service Management standard licensing (1, 2).
  • To set up AI-driven ITSM support, activate the Glide Virtual Agent plugin and then install the ITSM Virtual Agent Conversations plugin. After installation, you can use the Virtual Agent Designer to view, create, or edit ITSM-related conversational topics (2, 3).
  • The Virtual Agent Designer is accessible to users with the admin or virtual_agent_admin role and allows for customization and management of ITSM topics, supporting modern browsers like Chrome, Firefox, and Edge 3.
  • These capabilities enable organizations to provide automated, conversational IT support, improving efficiency and user experience within ITSM processes (1, 2, 3).

1) https://developer.servicenow.com/dev.do#!/learn/courses/zurich/app_store_learnv2_virtualagent_zurich...

2) https://developer.servicenow.com/dev.do#!/learn/courses/zurich/app_store_learnv2_virtualagent_zurich... 

3) https://developer.servicenow.com/dev.do#!/learn/courses/zurich/app_store_learnv2_virtualagent_zurich...

 

If my response has resolved your query, please consider giving it a thumbs up ‌‌ and marking it as the correct answer‌‌!

 

Thanks

Nayan Patel

IT ServiceNow Consult, ServiceNow ArchX

If my response has resolved your query, please mark it Helpful by giving it a thumbs up and Accept the Solution

 

👉https://www.scirp.org/journal/paperinformation?paperid=149299

👉 https://scholar.google.com/ 

Tanushree Maiti
Giga Sage

Use case 1 : Close Security Incidents

Close security incidents faster with ServiceNow AI Agents. Automatically cancel response tasks, generate and log resolution notes, assign close codes and create post-incident analysis—all in one streamlined workflow
 
Use case 2:Intelligent Ticket Creation & Categorization: AI analyzes incident descriptions, sentiment, and user input to automatically populate fields, set accurate priorities, and categorize incidents in real-time
 
Best practices for safely implementing AI in ITSM:
  • Define Clear Use Cases & Value: Start by identifying specific pain points, such as ticket deflection, incident categorization, or knowledge article generation, rather than implementing AI for the sake of it.
  • Prioritize Data Quality & Governance: AI models depend on quality data. Analyze data to ensure accurate training of predictive models and remove noise.
  • Leverage OOB (Out-of-the-Box) Functionality: Utilize ServiceNow's native tools—Now Assist for Generative AI, Predictive Intelligence for classification, and Virtual Agent—before building custom solutions.
  • Implement "Human-in-the-Loop": For AI agents and generative AI (e.g., Now Assist), maintain human oversight to validate incident summaries and resolutions to avoid hallucinations.
  • Adopt a Phased Rollout: Start with low-risk, high-impact areas like HRSD or IT service desk incident routing, then expand, allowing users to adapt to AI-assisted workflows.
  • Monitor and Optimize: Continuously monitor AI performance metrics, such as deflection rates and resolution speed, using dashboards to refine models.
  • Keep Updated: Regularly upgrade your ServiceNow instance to the latest family release to leverage the newest AI capabilities and security fixes
Should beginners start with AI suggestions instead of full automation:
Yes, beginners in the ServiceNow community are generally advised to start with AI suggestions (Human-in-the-loop) rather than immediate full, autonomous automation. Starting with AI-assisted suggestions allows new users to understand the platform's logic, validate outcomes, and build trust in the AI before allowing it to take autonomous action
Please mark this response as Helpful & Accept it as solution if it assisted you with your question.
Regards
Tanushree Maiti
ServiceNow Technical Architect
Linkedin:

SohamTipnis
Kilo Sage

Hi @abdussaboor,

 

You can refer to this article below; this will help you understand about the AI agent with correlation to ITSM:

 

https://www.servicenow.com/ai/use-cases/investigate-and-resolve-itsm-incidents.html

 

 

If you find my answer useful, please mark it as Helpful and Correct. ‌‌‌😊


Regards,
Soham Tipnis
ServiceNow Developer ||  Technical Consultant
LinkedIn: www.linkedin.com/in/sohamtipnis10