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

 Release :

    - brazil

ft:locale :

    - en-US

ft:publication_title :

    - Brazil Governance, Risk, and Compliance

ft:clusterId :

    - grc

bundleId :

    - grc

workflow :

    - Technology


---

# ServiceNow Otto for Integrated Risk Management (IRM)

# ServiceNow Otto for Integrated Risk Management (IRM) {#ariaid-title1}

Release version: Brazil  
Updated March 12, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
Use generative AI capabilities to support key control objective tasks within Policy and Compliance Management.  
With the ServiceNow Otto for Integrated Risk Management (IRM) application, use generative AI to

* Identify overlapping control objectives
* Recommend rationalization opportunities
* Optimize control objectives
* Analyze impact of regulatory changes
{#sn-otto-irm-pc__ul_e2v_z2w_qkc}

These capabilities are integrated into Control Objective records and help streamline how you work with control objectives and compliance mapping.

## Generative AI skills {#sn-otto-irm-pc__generative_ai_skills}

ServiceNow Otto for Integrated Risk Management (IRM) provides generative AI skills for specific control objective management tasks.
{#sn-otto-irm-pc__generative_ai_skills__entry__2}

| Skill | Description |
|-|-|
| Control objective rationalization | Identifies redundant or overlapping control objectives across your framework using AI analysis. |
| Control objective impact analyzer | Leverages generative AI to analyze citation and regulatory changes to identify which control objectives are impacted. |
| Common control objective creation | Uses generative AI to analyze the accepted duplicate control objectives and generates a common control objective |
[Table 1. Generative AI Skills for Control Objectives]

## Agentic workflows {#sn-otto-irm-pc__agentic_workflows}

ServiceNow Otto for Integrated Risk Management (IRM) provides agentic workflows to automate complex control objective management tasks and generate recommended actions.
{#sn-otto-irm-pc__agentic_workflows__entry__2}

| Workflow | Description |
|-|-|
| Control Objective Change Agent | Leverages the power of AI agents to automatically detect changes in related frameworks, analyze impact on control objectives, and generate recommended updates or rationalization actions. |
[Table 2. Agentic workflows for control objectives]