Measure the baseline
Baseline and controlled comparison: document the existing workflow and measure it using equivalent workload and starting conditions where practical.
Six-week Production Authority Pilot
AI, agents, tools, and people may prepare consequential production changes. The pilot evaluates the governed path those changes take — deterministic policy, explicit authority, controlled execution, verification, and evidence — and measures the operating effect rather than assuming CommerceGov wins.
Agentic Authority Protocol for AI-driven commerce, delivered as a production-authority control plane. Shopify is the first and only production-proven adapter.
Who this is for
Designed primarily for agencies and operational teams where agents, tools, scripts, or people prepare consequential production changes, and where the team wants evidence on whether a governed authority path improves control, capacity, accountability, or recovery.
Fit indicators, not hard eligibility rules: multiple Shopify stores (roughly 10+ managed stores), multiple team members (3+ team members), and enough recurring change volume to compare a meaningful workload—often around 500+ changes over a relevant window. Store count and catalog size describe scale, not the authority problem itself.
How the pilot works
Baseline and controlled comparison: document the existing workflow and measure it using equivalent workload and starting conditions where practical.
Operate agreed Shopify production work through CommerceGov: deterministic policy, review where required, explicit authority, controlled execution, verification where supported, and evidence.
Controlled comparison
The comparison starts from the same or equivalent mutation workload and evaluates the full path to verified production state.
Policy → review → authority → controlled execution → verification
Your current checks, handoffs, production action, and verification where it exists.
What is measured
Elapsed operational time required to reach verified production state.
Corrections or repeated work required to reach the intended state.
Verified production throughput over the measurement window.
Whether each production action stayed within the intended operator, policy, review, and approval boundary.
Whether the resulting production state was authoritatively confirmed.
Applied ≠ Verified. An accepted write is not proof of the resulting Shopify production state. Verification is mutation-scoped: it confirms the specific governed change, not the whole store.
Pilot target: 3–5× operator capacity — a hypothesis measured against your workflow, not an achieved result.
Production authority
CommerceGov does not replace Shopify role-based access. It governs production authority inside the access Shopify already grants, and it does not give AI autonomous production authority. Under the hood, the Authority Kernel applies policy and authority rules before the Shopify adapter is allowed to write.
Capability ≠ Authority ≠ Applied ≠ Verified. Being able to prepare a change is not authority to make it, and approval does not itself execute it. Execution is a separate controlled step, and an applied write is confirmed only by a separate read-back, where supported.
Who changed it? Who could approve it? Which store and fields were in scope? What was approved, applied, and verified? The pilot tests whether those questions become reliably answerable.
What you receive
Participation and scope
The team selects the Shopify workflow, bounded production mutation classes, participating operators and stores, who or what proposes changes, who authorizes them, policy and approval rules, and comparable starting conditions. Representative catalog fields may be included only when they match the currently supported scope.
Participants need named operational owners, access to the existing workflow for baseline measurement, a meaningful recurring workload, and time for review and evidence readout.
Next step
Paid six-week engagement. Pricing is scoped to the agreed production workflow, systems, authority boundary, and verification requirements before the pilot begins.
Apply for the pilot, or start with a conversation about your current workflow.