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Keep people in control

Put people in front of risky writes

Reserve human review for the actions where judgment or policy requires it.

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Captured from the product Demo workspace
Gate any write tool you choose; ungated writes continue without approval.

What this changes for your team.

Agent authors select which declared write tools need approval. Calls to those tools pause before dispatch; declared writes that are not selected proceed normally, so the policy is explicit rather than an implied blanket safety promise.

How it works in practice.

  1. 01

    Review every bound tool's declared read or write behavior.

  2. 02

    Select the write tools that must stop for a decision.

  3. 03

    Publish the agent so the approval policy is versioned with its setup.

What you can plan around.

The behaviour you can design against, stated concretely.

Approval policy stores concrete tool identifiers rather than matching generated call text.

The execution service checks the policy before a gated write is dispatched.

An ungated write is audited but does not acquire an approval step automatically.

Complete the operating path

View all capabilities
Keep people in controlReview the real action before it runs

Approve the concrete external action, not a vague description of what an agent might do.

Keep people in controlSend decisions to the accountable owner

Put approval with the person or team whose external authority the call will exercise.

Control who can do whatLet teams own their work

Separate workspace administration from the teams that author, run, and observe domain work.

Bring one real process

See how Yekar.AI fits the way you work.

Start with a job your team already owns, plus the tools and decisions around it.

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