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AI Admissibility
Control automated and AI-driven execution before action
4 followers
Control automated and AI-driven execution before action
4 followers
AI Admissibility places an external allow or deny boundary before automated execution continues. Instead of relying only on post-event scanning or self-approval inside the same workflow, it moves the decision boundary outside the workflow that is asking to proceed. Public paths today include a live pilot, a commercial request path, and a private deployment path.
Thanks for checking out AI Admissibility.
The core idea is simple: automated or AI-driven execution should not rely only on post-event scanning or self-approval inside the same workflow.
AI Admissibility places an external boundary before action. A request is evaluated first, then the system returns ALLOW, DENY, or FAIL-CLOSED.
You can try the live pilot here:
https://ai-admissibility.com/pilot
There is also a private deployment path for teams that need stronger isolation:
https://ai-admissibility.com/private-deployment
Feedback is welcome, especially from people working with automation, AI agents, security, compliance, and execution-risk controls.