Difference between Generative AI and Agentic AI in ServiceNow

[nikitakodan]

What is the practical difference between Generative AI and Agentic AI in a ServiceNow workflow?

[vaishali231 · Accepted solution]

Hey @nikitakodan 

In practical ServiceNow workflows, the key difference is that Generative AI produces content, while Agentic AI uses that content to make decisions and execute tasks across the platform.

For example, in an Incident Management workflow:

Generative AI

Summarizes the incident description.

Suggests category and assignment group.

Recommends relevant Knowledge Articles.

Drafts work notes or resolution notes.

Assists the agent, but does not perform platform actions.

Example:
A user reports, "Unable to connect to VPN after the latest Windows update."

Generative AI can generate:

1. Incident summary
2. Suggested category: Network
3. Possible root cause
4. Recommended troubleshooting steps

The support agent still reviews the suggestions and updates the record manually.

Agentic AI
Agentic AI extends beyond content generation by orchestrating actions to achieve a business goal. Depending on configuration, permissions, and governance, it can:

Analyze the incident context.

Identify the affected CI from the CMDB.

Check for related changes or existing problems.

Search for similar incidents and Knowledge Articles.

Trigger Flow Designer actions.

Create or update related tasks.

Assign the incident to the appropriate support group.

Notify stakeholders.

Monitor the outcome and continue the workflow until the objective is completed.

For the same VPN issue, an AI agent could:

1. Analyze the incident.
2. Identify the user's device and affected CI.
3. Check whether a recent Change Request caused the issue.
4. Search for an existing fix.
5. Create a remediation task if required.
6. Assign the incident to the Network team.
7. Notify the requester.
8. Track progress and update the incident automatically.

In short:

Generative AI = "Generate information."

Agentic AI = "Generate information, reason about it, and take actions to accomplish a goal."

Generative AI improves productivity by helping users create high-quality content. Agentic AI builds on those capabilities by coordinating workflows, invoking platform capabilities, and automating multi-step business processes with minimal human intervention.

*********************************************************************************************************

If this response helps, please mark it as Accept as Solution and Helpful.

Doing so helps others in the community and encourages me to keep contributing.

Regards

Vaishali Singh

Servicenow Developer
Linkedin - https://www.linkedin.com/in/vaishali-singh-2273361bb

[sandeepdutt · Accepted solution]

Hi @nikitakodan ,

Generative AI: Focuses on content creation and insights. It acts as an advisor by summarizing records, drafting responses, or suggesting knowledge articles, but a human must review and manually trigger the next steps.

Agentic AI: Focuses on decision-making and execution. It acts as a digital worker by analyzing context, orchestrating multi-step cross-platform workflows via Flow Designer, interacting with the CMDB, and autonomously resolving complex tasks.

Let me give you an Example (ITSM):
Imagine a user submits a ticket: "VPN disconnected and won't reconnect."

Generative AI reads the ticket and immediately drafts a summary for the agent, suggests the "Network" category, and surfaces a relevant troubleshooting knowledge article. The ticket sits waiting for human action.

Agentic AI goes steps further. It autonomously identifies the user's asset in the CMDB, checks the change log to see if a recent firewall update broke the connection, triggers a Flow Designer script to reset the user's VPN profile, validates the fix, and resolves the incident—all without manual human intervention.

I hope this would clear the terms now.

[yashkamde · Accepted solution]

Hello @nikitakodan ,

Refer below for the practical difference,

Generative AI	Agentic AI
Generates content such as text, summaries, code, or knowledge articles based on user prompts.	Plans, decides, and executes tasks autonomously to achieve a defined goal.
Responds to prompts but does not independently decide the next action.	Evaluates context and determines the next best action without constant user input.
Assists users by providing suggestions or generated content.	Performs end-to-end workflow automation by coordinating multiple steps.
Typically requires user review or approval before actions are taken.	Can execute actions such as updating records, triggering flows, creating tasks, and calling APIs based on configured permissions.
Best suited for content generation, summarization, translation, and code generation.	Best suited for incident resolution, request fulfillment, employee onboarding, and process orchestration.
Example: Now Assist summarizes an incident or generates a knowledge article.	Example: An AI Agent investigates an incident, gathers information, creates tasks, updates records, and notifies stakeholders automatically.

If my response helped mark as helpful and accept the solution.

[vaishali231 · Accepted solution]

Hey @nikitakodan 

In practical ServiceNow workflows, the key difference is that Generative AI produces content, while Agentic AI uses that content to make decisions and execute tasks across the platform.

For example, in an Incident Management workflow:

Generative AI

Summarizes the incident description.

Suggests category and assignment group.

Recommends relevant Knowledge Articles.

Drafts work notes or resolution notes.

Assists the agent, but does not perform platform actions.

Example:
A user reports, "Unable to connect to VPN after the latest Windows update."

Generative AI can generate:

1. Incident summary
2. Suggested category: Network
3. Possible root cause
4. Recommended troubleshooting steps

The support agent still reviews the suggestions and updates the record manually.

Agentic AI
Agentic AI extends beyond content generation by orchestrating actions to achieve a business goal. Depending on configuration, permissions, and governance, it can:

Analyze the incident context.

Identify the affected CI from the CMDB.

Check for related changes or existing problems.

Search for similar incidents and Knowledge Articles.

Trigger Flow Designer actions.

Create or update related tasks.

Assign the incident to the appropriate support group.

Notify stakeholders.

Monitor the outcome and continue the workflow until the objective is completed.

For the same VPN issue, an AI agent could:

1. Analyze the incident.
2. Identify the user's device and affected CI.
3. Check whether a recent Change Request caused the issue.
4. Search for an existing fix.
5. Create a remediation task if required.
6. Assign the incident to the Network team.
7. Notify the requester.
8. Track progress and update the incident automatically.

In short:

Generative AI = "Generate information."

Agentic AI = "Generate information, reason about it, and take actions to accomplish a goal."

Generative AI improves productivity by helping users create high-quality content. Agentic AI builds on those capabilities by coordinating workflows, invoking platform capabilities, and automating multi-step business processes with minimal human intervention.

*********************************************************************************************************

If this response helps, please mark it as Accept as Solution and Helpful.

Doing so helps others in the community and encourages me to keep contributing.

Regards

Vaishali Singh

Servicenow Developer
Linkedin - https://www.linkedin.com/in/vaishali-singh-2273361bb

[sandeepdutt · Accepted solution]

Hi @nikitakodan ,

Generative AI: Focuses on content creation and insights. It acts as an advisor by summarizing records, drafting responses, or suggesting knowledge articles, but a human must review and manually trigger the next steps.

Agentic AI: Focuses on decision-making and execution. It acts as a digital worker by analyzing context, orchestrating multi-step cross-platform workflows via Flow Designer, interacting with the CMDB, and autonomously resolving complex tasks.

Let me give you an Example (ITSM):
Imagine a user submits a ticket: "VPN disconnected and won't reconnect."

Generative AI reads the ticket and immediately drafts a summary for the agent, suggests the "Network" category, and surfaces a relevant troubleshooting knowledge article. The ticket sits waiting for human action.

Agentic AI goes steps further. It autonomously identifies the user's asset in the CMDB, checks the change log to see if a recent firewall update broke the connection, triggers a Flow Designer script to reset the user's VPN profile, validates the fix, and resolves the incident—all without manual human intervention.

I hope this would clear the terms now.

[yashkamde · Accepted solution]

Hello @nikitakodan ,

Refer below for the practical difference,

Generative AI	Agentic AI
Generates content such as text, summaries, code, or knowledge articles based on user prompts.	Plans, decides, and executes tasks autonomously to achieve a defined goal.
Responds to prompts but does not independently decide the next action.	Evaluates context and determines the next best action without constant user input.
Assists users by providing suggestions or generated content.	Performs end-to-end workflow automation by coordinating multiple steps.
Typically requires user review or approval before actions are taken.	Can execute actions such as updating records, triggering flows, creating tasks, and calling APIs based on configured permissions.
Best suited for content generation, summarization, translation, and code generation.	Best suited for incident resolution, request fulfillment, employee onboarding, and process orchestration.
Example: Now Assist summarizes an incident or generates a knowledge article.	Example: An AI Agent investigates an incident, gathers information, creates tasks, updates records, and notifies stakeholders automatically.

If my response helped mark as helpful and accept the solution.

[Aditya_hublikar · Accepted solution]

Hello @nikitakodan ,

Refer this article here is difference between traditional ai vs gen ai vs agentic ai , it will help you to understand difference in easy way :

https://www.servicenow.com/community/developer-articles/choosing-the-right-workflow-in-servicenow-tr...

If this helps you then mark it as helpful and accept as solution.

Regards,

Aditya