AI agent onboarding: a practical operating checklist
AI agent onboarding turns a promising assistant into accountable work: define its job, grant narrow access, test real tasks, and make escalation visible before you rely on it.
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AI Agent Governance
6 articles connected to this topic.
AI agent approval queue: keep risky actions reviewable
AI agent approval queues keep risky actions attached to the right reviewer, evidence, timeout, and session state, so a late click cannot revive stale work or block safe automation.
AI agent UI state: why control surfaces must survive long runs
AI agent UI state decides whether operators can supervise long-running agents, recover context, and intervene without losing the thread during streaming or reconnects.
AI agent Google Chat approval cards: approvals where operators work
Google Chat approval cards make AI agent approvals reviewable in the channel where operators already work. OpenClaw 2026.6.5 turns approval clicks into a safer control surface.
AI agent approval workflow: Google Chat cards make approvals harder to miss
AI agent approval workflow design works better when approval cards live in the chat surface where operators already decide, not in a separate dashboard.
Self-learning AI agents need a review loop, not silent memory
Self-learning AI agents work best when repeated fixes become reviewable skills: proposed, tested, revised, approved and rolled back before they shape future runs.