Approval-Gated Execution: Policy-Controlled Publishing for Product Data

Approval-gated execution means a change to your product data is prepared with evidence, checked against the guidelines you approved, then published to the destination and verified. In Paz, our experts ship within those guidelines and bring exceptions to you. That is how a finding becomes a fix in Shopify or Merchant Center.

Last updated: 2026-10-03

Scope

  • Governance of product and channel changes: who approves, where a fix may go
  • Destination permissions and verification

Set the policy before anything is published

Turn a product-data goal into a policy: which destination account, which products, which fields, which kinds of change, and what evidence each change must carry. A factual description correction for one collection is a policy. So is "Paz may write Q&A to Merchant Center for the travel range, nothing else."

Every fix Paz prepares is checked against that policy before it is published. Fixes inside the policy ship within the agreed guidelines. Anything outside it stays a suggestion. In the managed service our experts set the policy up with you, ship within it and bring exceptions to you, so your team's part is the priorities and the exceptions.

Track a change from proposal to verified result

  1. Proposed: the exact product, field, current value and corrected value, with the reasoning behind it.
  2. Approved: by the guidelines you approved, or by your team for an exception.
  3. Published: Paz writes the change to the destination, for example a Shopify product field or metafield, or a Merchant Center attribute.
  4. Accepted: Paz reads the destination back and confirms the change landed as approved.
  5. Measured: the next check shows whether the issue cleared and what moved.

If a destination rejects an update or a source value changes in the meantime, the reason is kept with the fix and resolved before it is retried.

Example: a product description correction

A workflow proposes adding "750 ml" to a bottle description. The policy allows description changes for that collection and requires the catalog and PDP to agree. They do, so the correction ships within the agreed guidelines with both sources attached. Paz writes it to Shopify and Merchant Center and confirms both accepted it. If your sources disagree, we check with you before changing anything.

The task defines the goal, business context sets the priority and the claim rules, and the publishing permissions decide where the fix may go. For the shopper-side equivalent, where a customer authorizes an agent to buy on their behalf, see agent payment mandates.

FAQ

How do Paz Routines and approval workflows work together?+
Routines run the checks and produce findings with evidence. Paz checks product fixes against agreed guidelines, publishes routine changes to the destinations and fields you have enabled, and checks the result. Anything that needs your attention goes to your team first.
How do you verify an approved product update?+
Paz reads the destination back after publishing and compares it with the approved values. The next scheduled check then shows whether the issue cleared and what moved in visibility, traffic or tracked sales.
How should a workflow handle exceptions?+
The fix stops with the affected product, the proposed change and the reason attached, such as conflicting sources or a missing required field. Your team resolves it and the fix continues through approval and publishing.

Primary sources

Related terms

Ecommerce Task Automation Explained: Tasks, Workflows and Paz Routines

A commerce task is a specific ecommerce job with a goal, inputs and a clear finish line, such as adding the missing capacity to every bottle description in a priority collection. In the managed service, our experts run that job on a schedule or after a catalog sync, ship routine fixes within agreed guidelines and bring exceptions to you.

Business Context for Ecommerce AI: Shared Company Context

Shared company context is what Paz knows about your business and carries into every check: product information, what you are promoting, who you sell to, the claims you keep fixed, and the answers and decisions from earlier work. It builds over time and changes when your priorities or market change.

Agent Mandate: What It Is and How It Works

An Agent Mandate is a digitally signed authorization a consumer issues to an AI agent that defines exactly what the agent can spend on, with what limits, and for how long.

How AI-ready are your products?

Check one product page for the information gaps that keep it out of AI answers and search results. If you want the fixes handled, Paz experts do that work for ecommerce teams.

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