---
sourceDocument: Australia Governance, Risk, and Compliance
sourceDocumentLink: https://www.servicenow.com/docs/r/australia/governance-risk-compliance

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    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia 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: Australia  
Updated March 12, 2026  
![](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) leverages agentic AI to automate specific outcomes using agents within agentic workflows or as standalone agents.
Access to features, generative AI skills, workflows, and agents depends on your ServiceNow license tier.
Show full answer Show less  
The solution supports multiple large language models (LLMs) including Now LLM Service, Azure OpenAI, Google Gemini, and Anthropic Claude. These models power generative AI skills and AI agents, with configuration managed via AI Control Tower and AI Admin Hub.

## Key Features

* **Agentic Workflows and AI Agents:** Use agents either embedded in workflows or standalone to automate risk management tasks.
* **LLM Support:** Choose from supported LLM providers to enable generative AI capabilities tailored to your environment.
* **Security Controls:** Implement access control lists (ACLs) to securely run AI agents and workflows under specific user identities, including dynamic or AI user contexts.
* **Autonomous AI Agent Execution:** To enable autonomous operation, duplicate and activate the agentic workflow and all related agents, then set unique triggers for automatic invocation. Manual invocation is also supported without trigger activation.
* **Standalone AI Agents:** Access standalone AI agents pre-installed with ServiceNow Otto or explore additional agents via the AI Agent Marketplace on the ServiceNow Store.

## Key Outcomes

By utilizing agentic AI in ServiceNow Otto for IRM, customers can automate complex risk management processes securely and efficiently. The flexible configuration of AI models and workflows enables tailored automation aligned with organizational needs. Security implementations ensure controlled execution of AI agents, maintaining compliance and governance. Additionally, customers can extend capabilities by incorporating standalone AI agents suited to their unique requirements.  
Use agents within an agentic workflow or as standalone agents to achieve specific automated outcomes.  
Note:  
Depending on your license, you will have access to certain application features, generative AI skills, agentic workflows, and AI agents. For more information, see [ServiceNow product tiers](https://www.servicenow.com/docs/access?context=ai-native-sku-overview&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US).

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=australia&pubname=australia-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, Azure OpenAI, Google Gemini or Anthropic Claude as the AI model provider for all generative AI skills and AI agents. Use the Configuration Controls in [AI Control Tower](https://www.servicenow.com/docs/access?context=ai-model-providers&version=australia&pubname=australia-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=australia&pubname=australia-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=australia&pubname=australia-intelligent-experiences&ft:locale=en-US).

* For the Now LLM Service updates, see [Model provider updates](https://www.servicenow.com/docs/access?context=now-llm-model-updates&version=australia&pubname=australia-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 AI agents](https://www.servicenow.com/docs/access?context=aia-security-implementation&version=australia&pubname=australia-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=australia&pubname=australia-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_cks_khk_xgc}

Looking for an AI agent?  
* There may be AI agents installed with ServiceNow Otto that aren't used in agentic workflows. To learn how to see all agents that are available to you, see [Find AI agents](https://www.servicenow.com/docs/access?context=find-ai-agents&version=australia&pubname=australia-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.
* For information on the standalone ServiceNow Otto for IRM AI agents, see [Standalone AI Agents in ServiceNow Otto for Integrated Risk Management (IRM)](https://www.servicenow.com/docs/IND71oT9MvPtE9DMXgaMnA "Use AI agents in Governance, Risk, and Compliance to complete IT-related tasks autonomously.").
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