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:
- Support added for AINPX based AI Control tower workspace
- Recommendations will now be generated for AI assets requiring a steward's attention at various stages of a playbook [only supported in new workspace]
Changed:
- Offboarding workflows are now automatically triggered upon submission of requests. An AI Steward does not need to start review to get it done.
- When an activity is marked complete in the onboarding or offboarding playbook, any remaining open tasks will be marked as closed skipped.
- AI cases by state widget on the landing page for an AI Asset Owner in AICT workspace is fixed
Fixed:
- Asset owners can now add comments to all AI assets.
- Create offboarding request button for Enterprise assets will only be available to customers in the AICT SKU.
AI Control Tower