AI Control Tower enables enterprises to actively manage and govern their AI assets, ensuring compliance and workforce transformation, while seamlessly embedding AI into enterprise strategies. AI Control Tower centralizes the enterprise AI asset inventory, boosts efficiency in AI development through automated workflows, and embeds risk and compliance management in the AI asset life cycle.
This application establishes the integration between AI Asset Management and AI Control Tower.
The AI asset life cycle enables the management of AI assets from intake to deployment, with assessments and governance tasks embedded into the appropriate life-cycle phases.
The life cycle manages the asset through the onboard, assess, build and test, and deploy phases, allowing the AI steward to maintain oversight on the AI asset and the asset owner to complete the governance review for their asset.
Customized views for product owners and AI stewards enable them to focus on their assigned tasks.
New :
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- Introduction of managed vs unmanaged assets and the impact on life cycles.
- Cancel tasks and workflows for unmanaged assets. These tasks can be resumed when an asset is changed from unmanaged to managed.
- Preserve historical data and the ability to bring assets back under governance later with a clean audit trail.
- Offboarding and change request workflows for additional AI assets.
- Centralized request management for offboarding (AI agents, models, datasets, and MCP servers) and changes (AI agents and datasets).
- Operational transparency through trackable requests and impacted asset visibility.
- Introduction of managed vs unmanaged assets and the impact on life cycles.
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- Intake rorm enhancements for AI agents & MCP servers.
- Expanded asset coverage with support for AI agents and MCP servers.
- Improved data quality with structured use and purpose capture and clearer form navigations for AI systems.
- Intake rorm enhancements for AI agents & MCP servers.
AI Control Tower