--- sourceDocument: Australia Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/australia/intelligent-experiences Release : - australia ft:locale : - en-US ft:publication_title : - Australia Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Managing tasks and approvals # Managing AI tasks and approvals in Activity Center {#ariaid-title1} Release version: Australia Updated July 17, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 3 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 Managing AI tasks and approvals in Activity Center ServiceNow's AI Control Tower generates various governance activities as your AI portfolio expands, including lifecycle tasks, security tasks, cases, risk assessments, and more. These AI-generated governance items require human judgment and are routed to assigned users for tracking and resolution within Activity Center. Activity Center serves as the centralized workspace to efficiently manage and address these governance tasks, ensuring compliance, security, and operational integrity of AI assets. Show full answer Show less ## Types of Governance Work * **Lifecycle tasks:** Tasks related to AI asset lifecycle stages such as onboarding, assessment, deployment, and offboarding, including impact assessments, architecture reviews, and security clearances. * **Security tasks:** Actions triggered by detected security threats, policy violations, or access issues, routed to the appropriate AI steward or security team. * **Requests:** Change and offboarding requests made by asset owners that require AI steward review and approval. * **Cases:** Structured investigations into incidents affecting AI assets, like security breaches or policy violations. * **Risk assessments:** Automated evaluations of inherent, control, and residual risks for AI assets during onboarding or significant changes. * **Issues:** Identified problems or gaps needing resolution, often surfaced during governance reviews. * **Attestations:** Requests for stewards or owners to acknowledge compliance policies that apply to AI assets. * **Policy exceptions:** Approved, temporary deviations from policies or controls applicable to AI assets. * **Inquiries:** General requests for information or clarifications regarding AI governance policies, processes, or assets. ## Where Governance Work Appears * **Home page:** The Top action items widget displays a prioritized snapshot of recommendations and tasks assigned to you or unassigned, helping you focus on high-priority items at the start of each session. * **Activity Center:** The central hub to view, filter, group, and manage governance tasks across tabs organized by ownership such as Team, Assigned to you, Unassigned, and Submitted by you. AI-generated recommendations appear on a separate Recommendations page within Activity Center. * **AI asset records:** The Needs attention section on an asset's Overview tab shows relevant recommendations and tasks scoped to that specific asset, allowing investigation and resolution without navigating away from the asset record. By leveraging Activity Center and its integration with AI Control Tower, ServiceNow customers can comprehensively track, prioritize, and resolve AI governance work to maintain security, compliance, and effective lifecycle management of AI assets. Track and resolve the governance work that AI Control Tower generates as your AI portfolio grows, such as lifecycle tasks, security tasks, cases, and risk assessments. As AI Control Tower discovers new assets, evaluates their quality and safety, monitors them for risk and security concerns, and tracks their progress through the lifecycle, it produces a continuous stream of items that need human judgment. AI Control Tower can route these items to users who can track and resolve the items in Activity Center. For the AI-generated recommendations that Activity Center also surfaces, see [Resolving AI recommendations in Activity Center](https://www.servicenow.com/docs/YyvrK4Lt2xLlA~Jd0y01TQ "Resolve the AI recommendations that AI Control Tower generates when it detects an issue or an opportunity in your AI portfolio, using AI automation, a guided AI conversation, or your own review."). ## Types of governance work {#aict-managing-tasks-and-approvals__types-of-work} Activity Center surfaces the following governance work: Lifecycle tasks : Tasks generated by AI asset lifecycle playbooks as managed assets move through the onboarding, assessment, build and test, deployment, and offboarding stages. Lifecycle tasks include impact assessments, architecture reviews, security clearances, and other reviews that must be completed before an asset can advance to the next stage. For more information, see [AI asset lifecycle tasks](https://www.servicenow.com/docs/E8yMFc5NIFm2hm4ZcFEgRQ "Advance managed AI assets through controlled stages of governance by completing the reviews, assessments, and approvals that AI asset lifecycle playbooks require."). Security tasks : Tasks generated when AI Control Tower detects a security threat, policy violation, or access concern on a managed AI asset. Security tasks route to the AI steward or security team responsible for the affected asset. For more information, see [Security tasks](https://www.servicenow.com/docs/eDC6ceUwwRBhwf7rgBwizQ "Address possible security threats, policy violations, and access issues on managed AI assets by acting on the security tasks the system generates for AI stewards and security reviewers."). Requests : Change requests and offboarding requests submitted by asset owners that require AI steward review and approval. A change request initiates a controlled update to a managed asset, such as switching the AI model backing an agent. An offboarding request initiates the retirement of an asset. For more information, see [Change and offboarding requests](https://www.servicenow.com/docs/Loz~OeHDCShhkrjws46QZA "Make controlled changes to a managed AI asset, or retire an asset that is no longer needed, by submitting a request for AI steward review and approval."). Cases : A structured investigation into an incident affecting a managed AI asset, such as a suspected security breach, data exposure, or policy violation. For more information, see [AI cases](https://www.servicenow.com/docs/vCTiejYzRwPUqTZZEjt7zg "Investigate and document an incident affecting an AI asset, such as a suspected security breach, data exposure, or policy violation, using a structured case record."). Risk assessments : An evaluation of a managed AI asset's inherent, control, and residual risk that AI Control Tower generates automatically when the asset is onboarded or its use and purpose changes. For more information, see [Risk assessments](https://www.servicenow.com/docs/cN0RxA4xyuJ41BEo94p4Uw "Complete a risk assessment that AI Control Tower generates automatically for a managed AI asset, evaluating its inherent, control, and residual risk."). Issues : A tracked problem identified with a managed AI asset that needs a resolution or an action plan, such as a gap surfaced during a governance review. For more information, see [Issues](https://www.servicenow.com/docs/NzrZe2I5bkknkr83__MIRw "Track a problem identified with an AI asset, such as a performance or compliance gap, through to resolution with a documented action plan."). Attestations : A request to acknowledge a compliance policy that applies to a managed AI asset, generated automatically when the policy requires acknowledgment from the asset's steward or owner. For more information, see [Attestations](https://www.servicenow.com/docs/KenGIFD8Evl4ksDPYcFznQ "Respond to a request to acknowledge a compliance policy that applies to a managed AI asset you own or steward."). Policy exceptions : An approved, time-bound deviation from a policy or control objective that applies to a managed AI asset. For more information, see [Policy exceptions](https://www.servicenow.com/docs/cD~pKDVqaWzhBUsAvGiDCw "Request an approved, time-bound deviation from a policy or control objective that applies to an AI asset."). Inquiries : A general request for information or clarification related to AI governance, such as a question about a policy, a process, or a specific AI asset. For more information, see [AI inquiries](https://www.servicenow.com/docs/Fp2FGY3LKgkY~AjAGpaBsg "Ask a question or request information related to AI governance, such as a question about a policy, a process, or a specific AI asset."). ## Where governance work appears {#aict-managing-tasks-and-approvals__where-it-appears} Governance work surfaces in three places in AI Control Tower: Home page : The Top action items widget on the Home page shows a prioritized snapshot of recommendations, tasks assigned to you, and unassigned tasks. Use this widget to start each session with the items that most need your attention. For more information, see [AI portfolio overview](https://www.servicenow.com/docs/a4K12GTWpY3LUSIe4G5wKg "Act on the AI governance work that matters most, review the state of your AI portfolio, and track the value your AI assets deliver on the Home page in AI Control Tower."). Activity Center : Activity Center is the full workspace for governance work. On the Work page, it organizes work by ownership across the Team, Assigned to you, Unassigned, and Submitted by you tabs. Use Activity Center to filter, group, and work through items at scale. For more information, see [Activity Center](https://www.servicenow.com/docs/jYWhx1KSM0nillT3chhMNA "Track and act on the governance work generated across AI Control Tower from a single workspace, including lifecycle tasks, security tasks, change and offboarding requests, and AI recommendations."). AI-generated recommendations appear on a separate Recommendations page within Activity Center; see [Resolving AI recommendations in Activity Center](https://www.servicenow.com/docs/YyvrK4Lt2xLlA~Jd0y01TQ "Resolve the AI recommendations that AI Control Tower generates when it detects an issue or an opportunity in your AI portfolio, using AI automation, a guided AI conversation, or your own review."). AI asset records : The Needs attention section on the Overview tab of an asset record shows the recommendations and tasks scoped to that single asset, under the same Recommendations, Assigned to you, and Unassigned sub-tabs as the Top action items widget on the Home page. Use this section when you're investigating an asset and want to see the open governance items that apply to it without leaving the record. For more information, see [Working with AI asset records](https://www.servicenow.com/docs/IMP4iJYdv_OXD3xVLe~CTw "An asset record consolidates the state of a single AI asset and the actions you can take on it, so you can understand the asset's situation and respond from one page.").