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Agent onboarding involves discovering adapter configurations, defining roles and capabilities, drafting prompts, and submitting a hire request. Governance approvals are managed automatically to ensure compliant integration into the company's AI workforce.

AI agent governance is an approval workflow that reviews new agent configurations before activation. It ensures that hires for new roles adhere to company standards by managing pending approvals and post-approval follow-ups within the orchestration system.

Configuring adapter settings requires inspecting existing configurations and drafting new ones for the agent. You define the agent's capabilities, set its reporting structure, and select an appropriate AI model to match the desired role.

Yes, you can configure a reporting structure for an AI agent prior to submission. The agent creation process allows you to define reporting relationships, such as having a Data Analyst report to the CTO, before entering the governance workflow.

The best way to manage pending approvals is to use an orchestration platform with integrated governance workflows. It tracks hire requests, handles board approvals, and manages post-approval follow-ups to ensure compliant agent onboarding.

An AI agent needs governance approval to ensure its configuration, capabilities, and prompts adhere to company standards. This approval process prevents unauthorized or misconfigured agents from integrating into the active AI workforce.