What it does
Routes high-value AI-suggested actions (auto-email to high-ARR accounts, mass account updates, large segment sends, AI-classified routing decisions) to a Slack-based approval step before execution.
You get
a human-in-the-loop approval queue for high-stakes AI actions
How it works
Gate the risky AI actions
Create WorkflowSits in front of the high stakes actions an AI workflow wants to take. You set what needs approval: an ARR cutoff, a segment size, the kind of action, or how confident the AI was.
Let other workflows queue one
configure_webhook_stepA webhook other workflows call to submit an action. It carries the kind of action, a one line summary, the full payload, which workflow asked, and why this one needs approval.
Send it to the right approver
configure_workflow_multi_split_stepEmails go to marketing, record updates to RevOps, lead routing to a sales manager, and other decisions by type. The wrong approver is what turns this into a bottleneck.
Ask in Slack
configure_slack_stepAn interactive message in the approver's channel with the summary, the workflow that asked, why it needs approval, a preview such as the subject line and first 200 characters, and approve or reject buttons.
Wait for an answer
configure_workflow_wait_until_stepExecution pauses until someone responds, four hours by default. Shorten it for a big send, stretch it for routine updates. Silence counts as a rejection and posts a notice.
Act on the decision
configure_workflow_branch_stepApproved runs the action. Rejected archives it with the reason, tells the originating workflow to stop, and posts the reasoning to the governance channel. A timeout behaves like a rejection and is logged as one.
Tell the workflow to proceed
configure_webhook_stepA webhook back to the workflow that asked, carrying the approver, the timestamp and any comment, all written to the audit trail so every AI action is traceable.
Log what humans reject
configure_update_attribute_stepEvery rejection and its reason goes into a structured log, which over time shows which AI behaviours need tighter prompts or guardrails.
Publish and watch the queue
publish_workflowValidated and published, with approvals per week, the approval rate against an 80% target, the median time to a decision inside business hours against 30 minutes, and the timeout rate, which points at the wrong approver or a dead channel.
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