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To create and hire an AI agent, you define its roles, capabilities, and runtime settings, then submit the configuration for governance approval. This structured onboarding ensures new agents are auditable before deployment.

AI agent governance is the approval workflow that reviews agent configurations and reporting structures before deployment. It is needed to ensure structured, auditable onboarding and adherence to company standards in an orchestrated environment.

Yes, you can discover, compare, and draft agent configurations including adapter types, prompts, and icons. Defining reporting structures is supported to ensure the agent fits your technical stack and organizational hierarchy.

You monitor the approval status of a hired AI agent through the governance workflow. This process tracks submission states, manages monitoring, and handles any required configuration revisions before final onboarding.

Yes, the agent onboarding process supports defining custom runtime settings. You can specify technical stack configurations, adapter options, and specific agent capabilities to meet your operational requirements.

You should use a structured workflow to hire AI agents when your business requires auditable onboarding in an orchestrated environment. It ensures new configurations meet governance standards and align with company policies.