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.
What’s New
Introduction of offboarding and change management workflows for AI assets.
What’s Changed
- The asset governance details form now displays associated change and offboarding requests.
- Asset owners can create offboarding and change requests directly from both the Asset Owner Portal and the asset form view.
- The AI assets list view now includes a Requests category showing all related change and offboarding requests.
- The “AI Asset Lifecycle” playbook has been renamed to “AI Asset Onboarding”.
What’s Fixed
Resolved a security issue where unauthorized users could mark onboarding playbook steps as complete. The onboarding and offboarding playbook cannot be canceled once the request has been approved and the playbook has been started by the AI Steward.
What’s Removed
N/A
AI Control Tower