Use Cases

USE CASES

Use Cases

Practical ways teams put AI independence to work. Start where dependence is already forming and bring it under control.

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  • Replace Shadow AI

    Bring scattered, unmanaged AI tools into one governed workspace.

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  • Preserve AI Context

    Keep instructions, memory, and reusable skills as portable operating assets.

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  • Route Sensitive Work

    Send sensitive tasks down protected paths while routine work uses lower-cost models.

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  • Govern MCP Tools

    Give AI tool access with permissions, identity, and audit visibility.

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  • Control AI Costs

    See where token spend accumulates and match model choice to task value.

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  • Governed AI Workspace

    A familiar workspace for everyday AI work, with organizational control underneath.

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Put AI independence to work
Bring forming dependence under control
Governed AI in everyday practice

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