---
sourceDocument: Yokohama Governance, Risk, and Compliance
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/governance-risk-compliance

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    - yokohama

ft:locale :

    - en-US

ft:publication_title :

    - Yokohama Governance, Risk, and Compliance

ft:clusterId :

    - grc

bundleId :

    - grc

workflow :

    - Technology


---

# Use agentic AI

# Use agentic AI in ServiceNow Otto for Integrated Risk Management (IRM) {#ariaid-title1}

* Release version: Yokohama
* 
* Updated November 10, 2025
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read

Summarize  
![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI  
This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.  

## Summary of Use agentic AI in ServiceNow Otto for Integrated Risk Management (IRM)

ServiceNow Otto for Integrated Risk Management (IRM) enables customers to use agentic AI workflows and standalone AI agents to automate specific risk management outcomes.
These AI capabilities leverage large language models (LLMs) integrated within the Now Assist platform, providing flexible options for automating tasks in IRM processes.
Show full answer Show less  

## Key Features

* **Supported Large Language Models (LLM):** Customers can select from Now LLM Service, Now LLM Long Term Stable models (LTS), Azure OpenAI, Google Gemini, or Anthropic Claude on AWS as AI providers. Configuration and skill-level preferences are managed via AI Control Tower and AI Admin Hub consoles.
* **Security Controls and Implementation:** AI agents and workflows operate with strict access control lists (ACLs) and user identities to ensure secure execution. The Run As capability allows agents to perform actions dynamically as specific users or AI users, safeguarding sensitive IRM data.
* **Autonomous AI Agents Activation:** By default, AI agent workflows are read-only. To enable autonomous operation, customers must duplicate and activate the agentic workflow, all agents within it, and configure unique triggers for automatic invocation. Manual invocation is also supported without activating triggers.
* **Azure OpenAI Recommendation:** For ServiceNow Otto IRM agentic workflows, Azure OpenAI is the recommended AI model provider, ensuring optimal performance and integration.
* **Standalone AI Agents:** ServiceNow Otto includes AI agents that can be used outside of workflows. Customers can discover installed agents within their instance or explore additional agents via the AI Agent Marketplace in the ServiceNow Store.

## Practical Benefits for ServiceNow Customers

Implementing agentic AI within ServiceNow Otto for IRM automates complex risk management tasks securely and efficiently. Customers gain flexibility in choosing AI models and controlling agent execution through ACLs, enhancing compliance and operational agility. The ability to run AI agents autonomously or manually allows tailored automation strategies, while access to standalone agents expands the scope of AI-driven risk management capabilities.  
Use agents within an agentic workflow or as standalone agents to achieve specific automated outcomes.

Find information such as the large language models (LLM) supported in Now Assist and security controls that are important considerations for using agentic AI.

For more information on language support, see [Multilingual service for Now Assist](https://www.servicenow.com/docs/access?context=translation-for-now-assist&version=yokohama&pubname=yokohama-intelligent-experiences&ft:locale=en-US) and [Multilingual support for ServiceNow generative AI products](https://www.servicenow.com/community/now-assist-articles/multilingual-support-for-servicenow-generative-ai-products/ta-p/3099258).

## Supported large language models (LLM) {#use-agentic-ai-in-risk-sustainability__section_pwb_fhk_xgc}

Note:  
* You can use Now LLM Service, Now LLM Long Term Stable models (LTS), Azure OpenAI, Google Gemini or Anthropic Claude on AWS as the AI model provider for all Now Assist skills and AI agents. Use the Configuration Controls in [AI Control Tower](https://www.servicenow.com/docs/access?context=ai-model-providers&version=yokohama&pubname=yokohama-intelligent-experiences&ft:locale=en-US) to define which options are available, then set the skill-level preferences in the [AI Admin Hub console](https://www.servicenow.com/docs/access?context=manage-large-language-models&version=yokohama&pubname=yokohama-intelligent-experiences&ft:locale=en-US). For more information, see [Large language models on the ServiceNow AI Platform®](https://www.servicenow.com/docs/access?context=exploring-large-language-models&version=yokohama&pubname=yokohama-intelligent-experiences&ft:locale=en-US).

* For the Now LLM Service updates, see [Now LLM Service updates](https://www.servicenow.com/docs/access?context=now-llm-model-updates&version=yokohama&pubname=yokohama-intelligent-experiences&ft:locale=en-US).
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## Security implementation considerations {#use-agentic-ai-in-risk-sustainability__section_tcr_ghk_xgc}

Enable security implementation to execute AI agents and agentic workflows through access control lists (ACLs) and user identities. ACLs provide the Run As capability to let agents and agentic workflows
execute actions either as a dynamic user or as an AI user. For more information, see [Implement access control in Now Assist AI agents](https://www.servicenow.com/docs/access?context=aia-security-implementation&version=yokohama&pubname=yokohama-intelligent-experiences&ft:locale=en-US).

## Considerations for running the autonomous AI Agents {#use-agentic-ai-in-risk-sustainability__section_bhz_3hk_xgc}

Important:  
By default, all agent workflow and AI agent records are read-only.

To run the AI agents autonomously, you must first [duplicate the agentic workflow](https://www.servicenow.com/docs/access?context=clone-aia-usecase&version=yokohama&pubname=yokohama-intelligent-experiences&ft:locale=en-US), and then proceed with the following steps:

* Activate the agentic workflow.
* Activate all agents within the agentic workflow.
* Activate the trigger to invoke the agentic workflow automatically. The triggers for each agentic workflow must be unique. If you prefer to invoke it manually, activating the trigger isn't necessary.
* Azure OpenAI is recommended for ServiceNow Otto for IRM agentic workflows.
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## Standalone AI agents {#use-agentic-ai-in-risk-sustainability__section_ztn_btp_3hc}

Looking for an AI agent?

* There might be AI agents installed with the Now Assist application that are not used in agentic workflows. To learn how to see all agents that are available on your instance, see [Find AI agents](https://www.servicenow.com/docs/access?context=find-ai-agents&version=yokohama&pubname=yokohama-intelligent-experiences&ft:locale=en-US).
* To find agents that might not be installed on your instance, visit the [AI Agent Marketplace](https://store.servicenow.com/store/ai-marketplace) on the ServiceNow Store.
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For information on the standalone ServiceNow Otto for IRM AI agents, see [Standalone AI Agents in ServiceNow Otto for Integrated Risk Management (IRM) skills](https://servicenow-prod.fluidtopics.net/JR1MDWiX9gn5DAccwmnnvg "Use AI agents in Governance, Risk, and Compliance to complete IT-related tasks autonomously.").

