Establishing AI governance
Define policies, assign roles, and configure guardrails for responsible AI deployment across your organization.
Establish the governance framework that keeps AI deployments responsible, secure, and aligned with your organizational policies before activating AI capabilities across your organization. Governance is not a one-time setup; it is an ongoing discipline that grows alongside your AI adoption.
AI governance
AI governance on the ServiceNow AI Platform encompasses the policies, roles, and technical guardrails that control how AI solutions behave, who oversees them, and how you maintain accountability. Define your organization's AI usage policies: which use cases are approved, what data AI can access, and how outputs should be reviewed before action is taken.
To learn more about AI policy considerations and AI policy stakeholders see AI governance on the ServiceNow AI Platform.
AI Control Tower
AI Control Tower brings the teams responsible for AI across your organization into a single workspace, so they can expand AI adoption while maintaining oversight. The Home page gives governance leaders a portfolio-level view at a glance — the highest-priority work to act on, the makeup of the AI inventory, governance posture across quality, safety, security, compliance, and risk, regulatory risk classification, and the value AI assets deliver. From the same workspace, teams plan AI strategy, discover and inventory AI assets, govern risk and compliance, monitor AI in production, and measure value.
As AI activity grows, AI Control Tower surfaces the work that matters instead of leaving teams to search for it. Recommendations and AI insights flag the highest-priority governance issues and opportunities, ordered by role, severity, and confidence. Monitoring scores your AI systems for quality and safety, adds AI-generated insights, and tracks trends so regressions surface before they reach users. When an issue calls for judgment, a conversational assistant works through it with you in the workspace, proposing actions you can accept, refine, or reject, while routine fixes can run hands-off through an automated agent.
To inventory your AI, monitor its quality and safety, track risk and compliance, and measure the value it delivers from one workspace, see AI Control Tower.
AI Risk and Compliance
For organizations in regulated industries or subject to frameworks such as the EU AI Act, the AI Risk and Compliance application helps you manage AI capabilities ethically, mitigate AI risks, and maintain compliance. Map AI solutions to regulatory requirements and maintain audit-ready documentation.
To map AI solutions to regulatory requirements such as the EU AI Act and keep audit-ready documentation, see AI Risk and Compliance.
AI Guardian
AI Guardian is built on the ServiceNow Small Language Model (SLM) and monitors generative AI interactions to detect offensive content, prompt injection attacks, and sensitive topics. Because LLM outputs are probabilistic and human interactions are unpredictable, Guardian provides a real-time safety layer that operates independently of the underlying language models.
To add a real-time safety layer that detects offensive content, prompt injection attacks, and sensitive topics in your generative AI interactions, see AI Guardian.
AI security
Strengthening your overall security posture, including access controls, data handling policies, and solution-level permissions, is critical for responsible AI deployment. Review and configure the platform security settings that apply to AI capabilities on your instance.
Note: Governance policies should be established before activating generative AI skills or deploying AI agents. This approach subjects every AI interaction on your instance to your organizational controls from day one.
To review and configure the access controls, data handling policies, and solution-level permissions that apply to AI on your instance, see .
--- title: Establishing AI governance description: Define policies, assign roles, and configure guardrails for responsible AI deployment across your organization. locale: en-US canonical_url: https://www.servicenow.com/docs/r/intelligent-experiences/platai-establishing-ai-governance.html release: brazil topic_type: concept last_updated: "2026-09-10" reading_time_minutes: 3 keywords: [AI governance, AI Control Tower, Now Assist Guardian, AI risk, AI compliance, AI security] breadcrumb: [Enable AI Experiences] --- # Establishing AI governance Define policies, assign roles, and configure guardrails for responsible AI deployment across your organization. Establish the governance framework that keeps AI deployments responsible, secure, and aligned with your organizational policies before activating AI capabilities across your organization. Governance is not a one-time setup; it is an ongoing discipline that grows alongside your AI adoption. ## AI governance AI governance on the ServiceNow AI Platform encompasses the policies, roles, and technical guardrails that control how AI solutions behave, who oversees them, and how you maintain accountability. Define your organization's AI usage policies: which use cases are approved, what data AI can access, and how outputs should be reviewed before action is taken. To learn more about AI policy considerations and AI policy stakeholders see [AI governance on the ServiceNow AI Platform](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/sn-ai-impl-governance.md). ## AI Control Tower AI Control Tower brings the teams responsible for AI across your organization into a single workspace, so they can expand AI adoption while maintaining oversight. The Home page gives governance leaders a portfolio-level view at a glance — the highest-priority work to act on, the makeup of the AI inventory, governance posture across quality, safety, security, compliance, and risk, regulatory risk classification, and the value AI assets deliver. From the same workspace, teams plan AI strategy, discover and inventory AI assets, govern risk and compliance, monitor AI in production, and measure value. As AI activity grows, AI Control Tower surfaces the work that matters instead of leaving teams to search for it. Recommendations and AI insights flag the highest-priority governance issues and opportunities, ordered by role, severity, and confidence. Monitoring scores your AI systems for quality and safety, adds AI-generated insights, and tracks trends so regressions surface before they reach users. When an issue calls for judgment, a conversational assistant works through it with you in the workspace, proposing actions you can accept, refine, or reject, while routine fixes can run hands-off through an automated agent. To inventory your AI, monitor its quality and safety, track risk and compliance, and measure the value it delivers from one workspace, see [AI Control Tower](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/aict-landing.md). ## AI Risk and Compliance For organizations in regulated industries or subject to frameworks such as the EU AI Act, the AI Risk and Compliance application helps you manage AI capabilities ethically, mitigate AI risks, and maintain compliance. Map AI solutions to regulatory requirements and maintain audit-ready documentation. To map AI solutions to regulatory requirements such as the EU AI Act and keep audit-ready documentation, see [AI Risk and Compliance](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/platai-ai-risk-and-compliance.md). ## AI Guardian AI Guardian is built on the ServiceNow Small Language Model \(SLM\) and monitors generative AI interactions to detect offensive content, prompt injection attacks, and sensitive topics. Because LLM outputs are probabilistic and human interactions are unpredictable, Guardian provides a real-time safety layer that operates independently of the underlying language models. To add a real-time safety layer that detects offensive content, prompt injection attacks, and sensitive topics in your generative AI interactions, see [AI Guardian](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/platai-now-assist-guardian.md). ## AI security Strengthening your overall security posture, including access controls, data handling policies, and solution-level permissions, is critical for responsible AI deployment. Review and configure the platform security settings that apply to AI capabilities on your instance. **Note:** Governance policies should be established before activating generative AI skills or deploying AI agents. This approach subjects every AI interaction on your instance to your organizational controls from day one. To review and configure the access controls, data handling policies, and solution-level permissions that apply to AI on your instance, see .
| title | Establishing AI governance |
| description | Define policies, assign roles, and configure guardrails for responsible AI deployment across your organization. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/intelligent-experiences/platai-establishing-ai-governance.html |
| release | brazil |
| topic_type | concept |
| last_updated | 2026-09-10 |
| reading_time_minutes | 3 |
| keywords | AI governanceAI Control TowerNow Assist GuardianAI riskAI complianceAI security |
| breadcrumb | Enable AI Experiences |