AI agents are moving from chat to action sending emails, posting to Slack, sharing files, updating records. The problem: once an agent can act, you can't ship it without answering three questions what's it allowed to do, what did it actually do, and can you prove the log wasn't edited?
AgentBlackBox is the governance and accountability control plane for AI agents approvals, policies, audit evidence, identity lifecycle, and compliance in one system.
Policy gate on every action allow / redact / require-approval / deny. Default-deny, fail-closed.
Human-in-the-loop approvals with segregation of duties (you can't approve your own action).
How does the human approval flow actually work in practice, like is it a Slack message, an email, or something custom, and can you route different policies to different approvers based on risk level?
How does the human approval step actually work in practice, like is it a Slack ping or something more native, and does it block the agent mid-task or queue things up?
How does the human approval flow actually work in practice, like do I get a Slack ping or have to keep a dashboard open to gate risky actions?