---
sourceDocument: Brazil Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences

 Release :

    - brazil

ft:locale :

    - en-US

ft:publication_title :

    - Brazil Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Explore

# Exploring AI Control Tower {#ariaid-title1}

Release version: Brazil  
Updated September 10, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 4 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 Exploring AI Control Tower

AI Control Tower offers ServiceNow customers a centralized workspace to govern and manage the full lifecycle of AI systems deployed across their organization.
It integrates strategic planning, asset discovery, monitoring, compliance tracking, and value measurement into a single platform.
This centralized approach helps organizations maintain a current inventory of AI assets---including generative AI, workflows, and machine learning models---across ServiceNow and external cloud providers such as AWS, Azure, and Google Cloud.
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With AI Control Tower, customers can proactively detect quality and safety issues through automated scoring, ensure compliance with frameworks like NIST AI RMF and EU AI Act, and measure the business value of AI investments by tracking productivity, cost savings, and adoption metrics.

## Key Features

* **Comprehensive AI Asset Inventory:** Automatically discover and register AI assets from ServiceNow and hyperscalers, using mechanisms like AI Gateway with approval workflows to enforce governance and security controls.
* **Lifecycle Management:** Use predefined lifecycle playbooks to onboard, assess, test, and deploy AI assets with built-in governance, risk, and compliance checks routed through appropriate reviewers.
* **Governance and Compliance:** Classify AI assets against regulatory frameworks, maintain security and privacy controls, and continuously monitor compliance throughout the asset lifecycle.
* **Production Monitoring:** Evaluate AI system interactions with automated quality and safety scoring, enabling AI stewards to identify regressions and coordinate remediation.
* **Value Measurement:** Track and quantify AI impact through productivity gains, cost savings, and adoption metrics, helping optimize return on AI investments.
* **User Role Support:** Tailored capabilities for AI stewards, administrators, AI asset owners, and risk and compliance users, supporting collaborative governance across teams.
* **Centralized Workspaces:** Dashboards like the Home page and Activity Center provide quick visibility into portfolio status, governance workload, action items, and AI-generated recommendations.

## How It Works

AI Control Tower enables cross-functional collaboration by guiding teams through a structured workflow:

* **Plan:** Define AI strategy, priorities, and goals integrated with strategic planning and project management tools.
* **Discover:** Populate the AI inventory through automated synchronization with ServiceNow assets and cloud platform integrations.
* **Manage:** Progress AI assets through lifecycle stages with playbooks enforcing governance and approvals.
* **Govern:** Continuously monitor compliance, risk, and security controls aligned with regulatory requirements.
* **Monitor:** Score AI interactions in production to detect and address quality or safety regressions promptly.
* **Measure:** Assess realized business value and adoption to inform optimization and investment decisions.

## Benefits for ServiceNow Customers

* **Centralized AI Portfolio Visibility:** Quickly understand AI inventory composition, governance posture, regulatory risk, and realized value from a unified dashboard.
* **Efficient Governance Coordination:** Track team workloads, assigned tasks, and leverage AI-driven recommendations to prioritize governance efforts.
* **Proactive Issue Resolution:** Identify high-priority governance actions and automate routine issue handling with AI agents.
* **Detailed Asset Management:** Access comprehensive AI asset records consolidating lifecycle status, risk, compliance, monitoring results, and value metrics for informed decision-making.

## Next Steps for Customers

To maximize benefits, customers should explore additional resources on configuring AI Control Tower, planning AI strategy, managing AI assets, governing and monitoring AI systems, measuring AI impact, and addressing AI action items. This ensures a complete and effective AI governance program aligned with organizational objectives.  
Learn how AI Control Tower provides centralized visibility and governance across your organization's AI portfolio, connecting strategic planning, asset discovery, monitoring, compliance, and value measurement in a single
workspace.

## AI Control Tower overview {#aict-exploring__cf-exploring-parent-overview}

As your organization deploys AI systems across business units, from generative AI assistants and agentic workflows to classical machine learning models, the challenge shifts from building AI to governing it. AI Control Tower addresses this by providing a centralized workspace where cross-functional teams can manage the full AI lifecycle.

* Maintain a complete, current inventory of AI systems, models, prompts, and tools across ServiceNow and external platforms including AWS, Azure, and Google Cloud.
* Detect quality and safety regressions before they escalate, using automated scoring and trend analysis for AI interactions in production.
* Track compliance posture against frameworks like NIST AI RMF and EU AI Act across your AI assets.
* Quantify the business value of AI investments with productivity, cost savings, and adoption metrics tied to individual AI systems.
* Coordinate governance work across cross-functional teams with lifecycle playbooks, approval routing, and AI-generated recommendations.
{#aict-exploring__ul_aict_capabilities}

## AI Control Tower users {#aict-exploring__cf-exploring-parent-users}

{#aict-exploring__table_users__entry__2}

| User | Description |
|-|-|
| AI steward | Oversees the state of AI across all inventory, including value and adoption insights. Reviews quality and safety scores, monitors risk and compliance posture, investigates cases and inquiries, and coordinates with AI system owners to maintain governance standards. |
| Administrator | Activates and configures AI Control Tower plugins, manages data sharing and multi-instance settings, configures AI model providers and data routing, sets up playbook templates, and maintains users and roles. |
| AI asset owner / Product owner | Manages the AI assets they own, views value and adoption metrics for their systems, tracks lifecycle status, and creates or responds to AI cases and approval requests. |
| Risk and compliance user | Monitors risk classifications, reviews compliance posture against authority documents and policies, manages risk assessments, and helps track regulatory changes affecting AI assets. |
[Table 1. Users]

{#aict-exploring__table_users}

## AI Control Tower workflow {#aict-exploring__cf-exploring-parent-workflow}

The following workflow shows how different users work together in AI Control Tower to take an AI asset from strategic planning through ongoing value measurement.
Figure 1. Managing AI assets with AI Control Tower

1. **Plan AI strategy.** Strategic planners and AI stewards define AI priorities, set measurable goals, and track planning items and costs through integrations with Goal Framework, Strategic Planning, and PPM Standard.
2. **Build the AI asset inventory.** AI stewards bring AI assets into the inventory through three discovery and registration mechanisms. Discovery automatically syncs ServiceNow AI assets --- including skills, models, prompts, datasets, agents, and tools --- into AI Control Tower. Hyperscaler connections find AI assets across external platforms like AWS Bedrock, Azure AI Foundry, Copilot Studio, and Google Cloud Platform Vertex AI. AI stewards register Model Context Protocol (MCP) servers through AI Gateway, where each registration is routed through an approval playbook before the server joins the inventory and benefits from AI Gateway's governance, observability, and security controls.
3. **Manage assets through the lifecycle.** AI stewards and asset owners take each asset through lifecycle playbooks --- onboard, assess, build and test, and deploy --- with the right approvals routed to the right reviewers at each phase. Lifecycle playbooks are how governance, risk, and compliance checks get applied operationally as an asset progresses toward deployment.
4. **Govern AI assets.** Risk and compliance users classify assets against frameworks like NIST AI RMF and EU AI Act and track regulatory posture across the inventory. AI stewards maintain AI security and privacy controls, including agent identities, access controls, privileged agent reviews, and dormant system reviews. Governance activities continue throughout an asset's lifecycle, not just at onboarding.
5. **Monitor AI in production.** The evaluation engine scores AI interactions automatically against quality and safety metrics. AI stewards review scores and trends, investigate regressions in low-scoring sessions, and coordinate with AI system owners to remediate issues by adjusting agent configuration, prompts, or tools.
6. **Measure value and adoption.** AI asset owners and AI stewards track value realization --- productivity gains, cost savings, and user adoption --- across the AI portfolio, then identify optimization opportunities to improve return on AI investments.
{#aict-exploring__cf-exploring-parent-workflow-ol}

## AI Control Tower benefits {#aict-exploring__cf-exploring-parent-benefits}

{#aict-exploring__table_benefits__entry__3}

| Benefit | Feature | Users |
|-|-|-|
| Review your AI portfolio at a glance --- top priority actions, inventory composition, governance posture, regulatory risk, realized value, and outstanding tasks --- from a single landing page. | [Home](https://www.servicenow.com/docs/JAFQ03c623m07zHN4ogEEQ "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.") | AI steward, AI asset owner |
| Track governance work across your team --- your assigned items, team workload, unassigned queue, and AI-generated recommendations --- in one workspace. | [Activity Center](https://www.servicenow.com/docs/VyUySfnSO44PTJ3pSP7iug "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 steward, AI asset owner |
| Focus on the highest-priority governance work automatically surfaced across the product, and resolve routine issues with supervised or unsupervised AI agents. | [Recommendations and AI insights](https://www.servicenow.com/docs/bfZYoowu9kGL6s~LJdbCnw "Recommendations and AI insights direct your attention to the AI governance work that matters most, so you can resolve high-impact issues without searching for them.") | AI steward, AI asset owner |
| View and update every aspect of an AI asset --- details, lifecycle phase, risk and compliance posture, security findings, monitoring scores, and realized value --- from a single record page. | [Working with AI asset records](https://www.servicenow.com/docs/pMaOqXzfH9B7esKM3rKY3A "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.") | AI steward, AI asset owner |
[Table 2. AI Control Tower benefits]

{#aict-exploring__table_benefits}

## What to explore next {#aict-exploring__cf-exploring-parent-links}

To learn more about each area of AI Control Tower, see the following topics:

* [Configuring AI Control Tower](https://www.servicenow.com/docs/irQqBqi3QHhEjiDtkns0qw "Set up AI Control Tower so your organization can begin managing AI assets, enforcing governance policies, and tracking AI value.")
* [Planning your AI strategy](https://www.servicenow.com/docs/9wUxObkYsx5cBbJdKEFLTw "Define AI strategic priorities, set measurable goals, and track planning items and costs to align your AI investments with organizational objectives.")
* [Discovering and managing AI assets](https://www.servicenow.com/docs/aOKN_md6jHiudYMMpH2Gjg "Get a complete picture of every AI system in your organization by building and maintaining a comprehensive AI asset inventory.")
* [Governing AI assets](https://www.servicenow.com/docs/X2SIbcVw1NvAkxbmsf6yNA "Manage AI assets across the life cycle using AI Risk and Compliance, with integrated Security and Privacy oversight for risk, compliance, and security.")
* [Monitoring AI systems](https://www.servicenow.com/docs/E9jvl5fXD3YmpDVIgkXV1w "Evaluate the quality and safety of AI interactions across your portfolio using automated scoring, configurable metrics, and trend analysis for both ServiceNow and external AI systems.")
* [Measuring AI impact](https://www.servicenow.com/docs/wHWwykPfg2ZNTj_Dvg6B8g "Measure quantifies the productivity value delivered by your AI systems and tracks their costs. It also reports the net return on AI, enabling you to determine where to scale, fund, or retire AI.")
* [Addressing your AI action items](https://www.servicenow.com/docs/~l9G4nSJGo5HNtBkMn8KUg "Track and act on the governance work and AI-generated recommendations that AI Control Tower surfaces for you in Activity Center.")
{#aict-exploring__ul_explore_next}