0
2.0.0
Zurich, Yokohama Patch 6, Yokohama Patch 3, Xanadu Patch 9
AI Control Tower enables enterprises to actively manage, optimize, govern, secure & measure the value of their AI investments, ensuring performance, compliance, & workforce transformation while seamlessly embedding AI into enterprise strategy. AI Control Tower centralized enterprise AI asset inventory, boosts efficiency in the AI development with automated workflows and embeds risk and compliance management in the AI asset lifecycle.
- AI Control Tower: Single pane view of status of AI in the organization with actionable insights.
- Centralized AI asset inventory: Centralized information about AI systems, AI models, prompts and datasets, and their relationships. Supports automated discovery of Now Assist skills and ServiceNow deployed models.
- AI Discovery: Discover and add enterprise AI assets in hyperscalers to the AI inventory
- AI asset lifecycle: Enables management of AI asset lifecycle from intake and to deployment, with review and governance tasks embedded in the appropriate phases of the lifecycle.
- AI Risk and compliance management: Embeds risk and impact assessments, application of policies and controls in the AI asset lifecycle to manage and mitigate risk and measure compliance against organizational policies and regulatory needs.
- AI Value and Adoption: enables value measurement and track adoption and usage of AI in the enterprise delivering continuous visibility into progress and tangible outcomes
- AI Case Management: Enables logging and management of AI cases and inquiries to address issues.
- AI Security and Privacy: enables monitoring AI agents, their access maps and usage to flag security vulnerabilities with elevated access and dormant assets
Highlights:
- Enhanced Product Owner experience with a personalized homepage and enhanced visibility into AI assets to simplify task management.
- Value management tools to manage AI investments
- Monitor performance, track progress, costs, project risks and issues, and make informed decisions related to your AI strategies, goals, and targets from the AI strategy tab.
- Evaluate AI productivity and adoption across the enterprise using defined value metrics and performance indicators to drive data-informed decisions and maximize AI impact.
- Access and security monitoring for ServiceNow AI Agents, especially around access issues, agents running as privileged users, and dormant agents
- Discover AI assets built and deployed in AWS Bedrock and Azure Foundry.
- Enable choice for 3rd party model providers powering ServiceNow skills and agents
- Access to aggregated risk scores to improve decision-making, manage risks, and ensure ethical and transparent AI practices
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