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How to delegate work to an AI agent without losing control

· 3 min read

An agent that does real work has to be able to make a mistake without it costing you. This is how you delegate with control: autonomy is earned one action at a time, through real approvals.

Delegating is scary for a simple reason: the work worth delegating is the work that changes things. An email that goes out, a payment that gets recorded, an order that gets confirmed. An assistant that only suggests scares no one, but it doesn't take work off your plate either. An agent that does everything on its own from day one does take the work, but nobody hands their company's collections to something they don't know.

The way out isn't choosing between the two. It's delegating the way you would to a new hire: supervision at first, and more freedom as they show they do the job well.

Start with everything on "Asks first"

Reading what your company connected changes nothing, so an agent can read from day one. Anything that changes something starts by asking: the agent prepares the whole action, shows you what will happen and waits for your approval.

That has two advantages. The first is obvious: nothing goes out without someone seeing it. The second is less obvious: every approval is evidence. After thirty customer replies approved without edits, you know something concrete about how that agent handles that kind of action.

Trust is per action, not per agent

An agent can deserve autonomy to sort emails and still not deserve it to send them. So trust is kept per type of action, on a ladder with three rungs:

  1. Asks first: it prepares the action and waits for your approval.
  2. Acts, then tells: it carries it out and tells you what it did.
  3. On its own: it carries it out without interrupting you, and it's on the record.

An action moves up a rung through real approvals, or because someone with permission decides to grant it. When the evidence is there, Symmi proposes it and a person accepts it in one tap. It never moves up by itself.

If it gets it wrong, it goes back to asking

The rule that makes all of this safe: if an action fails or you reject it, it goes back to "Asks first". Nothing to configure, nothing to remember. A mistake costs one more approval, not a week cleaning up what the agent did alone.

And your company always sets the ceiling. If policy says no payment goes out without approval, no agent earns autonomy to pay, however good its approvals are.

Approve from wherever you are

An approval system that makes people open yet another tool ends in late approvals and an idle agent. The same decision arrives on Teams, Slack, WhatsApp or email; answer in one and the rest catch up. Every approval says what will happen, and the button names the effect: "Send the reply", not "Accept".

Everything is on the record

Delegating with control also means being able to look back. Every read, decision, approval and cost is recorded with who, when and from which channel. If someone asks why an email went out, the answer is there, complete.

Before going live, a week in the shadow

A new agent first works in shadow mode: it does the whole job on real cases, but nothing goes out. You compare what it would have done with what your team did. If it doesn't convince you, it's adjusted before it touches a customer.

In short

  • Reading from day one. Anything that changes something, with approval.
  • Autonomy per type of action, earned through real approvals.
  • A failure or a rejection sends it back to "Asks first".
  • Your company sets the ceiling, and no agent goes past it.
  • Everything is on the record.

That's how autonomy works in Symmi. And if your IT team wants to see how it's enforced in code, it's in the security model.

Tell us the job you want to delegate.

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