guides
Human approval for AI agents: how approval gates work
How human-in-the-loop approval works for AI agents, which actions need it, how products implement it, and questions to ask any vendor.
An approval gate is where an AI agent stops before doing something important and waits for you to say yes. Most tools give you one mode: always block, or never block. The best ones let you configure it per agent and per category, with safe defaults and a path to full autonomy when you're ready.
What a good approval gate shows you
- The exact action. The full email text, the ticket fields, the record change. Not a summary.
- Who it affects. The recipient, the target system, the account.
- Whether it's reversible. Can you undo it if something goes wrong?
- The evidence behind it. What the agent read and why it chose this action.
- The scope. Approving covers this one action, not every similar one in the future.
How different products handle it
Doozy (configurable)
Three modes: safe defaults (approval on external actions), custom per agent (tighten or loosen per category), and YOLO (full autonomy when you trust it). Admin rules can't be overridden. See how it works →
Notion Agents (all-or-nothing)
Confirmation by default on every non-read-only tool. The trigger is the read/write flag. Not configurable per agent.
Taskade (boundary-based)
Approval required every time an agent interacts with an external platform. Not configurable per category.
Carly AI (read/write split)
Reads run freely, writes ask first. Simple, but no per-agent configuration.
Instinct (no gates)
Acts autonomously by default. No documented approval step. Has had incidents of unapproved actions.
The three approaches
Always block (Notion, Taskade, Carly): every write or external action needs your OK. Safe, but creates friction when you trust an agent. You can't gradually give it more autonomy.
Never block (Instinct, Bond): the agent acts on its own. Fast, but you don't see what happened until after it happened. One mistake reaches a customer before you know about it.
Configurable (Doozy): safe defaults with per-agent, per-category control. Start with approval on everything external. As you build trust, loosen specific categories for specific agents. Go full YOLO on agents you trust completely. Tighten it back if something goes wrong. This is the model that grows with you.
Where this is heading
Approval gates are becoming the default. The absence of one is now the red flag, not the presence of one. The next frontier is configurable gates that learn from your decisions: auto-approving patterns you've approved many times while still stopping on anything new. Doozy's model is closest to this today.
Frequently asked questions
Do all AI agents have approval gates?
No. Instinct and Bond don't document one. See which tools have approval.
Which approach is best?
Configurable. Safe defaults that you can loosen per agent as you build trust. See how Doozy does it.
Can an agent override an approval rule?
In Doozy, no. Admin rules are the floor. In products without admin-level controls, agents may be able to bypass rules.
Does approving once approve all future actions?
In Doozy, no — unless you create a deliberate always-allow rule. Each approval is for one action.
What should an approval card show?
The exact action, who it affects, the evidence behind it, and whether it's reversible.
Which approach is best?
Configurable. Safe defaults you can loosen per agent. See Doozy's three modes.
What is YOLO mode?
Full autonomy for agents you trust. No pause, no review. Opt-in per category, revocable anytime. Doozy only.
Is Doozy free?
Free forever for up to five people with BYO keys. Approval gates included.
Sources
- Doozy approvals (checked 2026-09-09)
- Notion security practices (checked 2026-09-04)
- Taskade tools for AI agents (checked 2026-09-04)