Done-for-you offer · Fractional CMO with AI Swarm · per-SKU compliance gate
Done-for-you per-SKU compliance gate for DTC, multi-location retail, multi-channel retail, multi-marketplace, and PE-sponsored portfolio operators — a 4-skill bundle on the page-generator agent that gates MAP, UAP, age-restriction, per-state-tax, per- vertical claims, brand-protection, retailer-channel, and marketplace-channel policy at pre-publish time, in parallel with the page authoring step.
The descriptive industry pattern at AI-generated catalog scale: policy-spec lookup lives in spreadsheets the legal team owns; pre- publish gate evaluation happens manually after authoring (or not at all); MAP-policy violations propagate to Amazon Brand Registry + Walmart Brand Portal partner complaints; UAP + per-state-tax violations propagate to state-AG enforcement letters; per- vertical-claims violations propagate to FTC and FDA scrutiny. Salsify, Akeneo, inriver, Syndigo, Productsup, Plytix, Pimcore, Bluestone PIM, and Sales Layer PIM ship excellent PIM. Brand24, Tracer, IPRM, Brandverity, and The Search Monitor ship excellent MAP + UAP monitoring. Amazon Brand Registry and Walmart Brand Portal ship excellent marketplace-policy enforcement. The pre- publish gating layer that composes them in parallel with the page-generation step is operator-side architecture. Completions builds and operates the 4-skill bundle (policy-spec lookup, gate evaluation, decision routing, attestation) on the page-generator agent. Operator owns every artifact and can in-house at any time.
Published September 24, 2026
Frequently asked
What does the done-for-you per-SKU compliance gate engagement deliver?
Completions builds and operates a 4-skill bundle on the page-generator agent that runs in parallel with the page authoring step. Skill 1 (policy-spec lookup) resolves the applicable policy across 12 policy classes per page: MAP-pricing, MSRP, UAP, promo-eligibility, age-restriction, regional-availability, export-control, per-state-tax, per-vertical-claims, brand-protection, retailer-channel, and marketplace-channel. Skill 2 (pre-publish gate evaluation) evaluates the authored page against the resolved policy spec with score-per-policy, weighted aggregate, confidence interval, and evidence-citation emitted for downstream auditability. Skill 3 (gate-decision routing) routes the outcome across 6 decision types: block, allow, allow-with-warning, escalate-to-merchandising, escalate-to-legal, rewrite-and-regate; with per-decision SLA and per-handler context attached. Skill 4 (attestation) emits an attestation record with attestor-identity, timestamp, WORM-storage commit, chain-of-custody record, and per-vertical compliance overlay reference. The per-vertical compliance overlay covers MAP-policy + UAP-policy + age-restriction + per-state-tax + per-state-export + per-vertical-claims. The bundle runs Gate and Author in parallel rather than sequentially, so authoring throughput does not block on gating. Operator owns every artifact: the 4 registries in operator data infrastructure; the 4-skill model code aligned with operator merchandising-engineering team; the per-vertical compliance overlay rule library in operator repo with attorney-approved updates; the policy-spec library; the LLM prompts; the audit trail. Completions owns the swarm-orchestration knowledge.
Why is per-SKU pre-publish compliance gating typically operator-side rather than vendor-shipped?
The PIM vendors (Salsify, Akeneo, inriver, Syndigo, Productsup, Plytix, Pimcore, Bluestone PIM, Sales Layer PIM) ship excellent policy-bearing product data. The MAP + UAP monitoring vendors (Brand24, Tracer, IPRM, Brandverity, The Search Monitor) ship excellent post-publish detection. The marketplace policy stacks (Amazon Brand Registry, Walmart Brand Portal) ship excellent partner-side enforcement. None ships the pre-publish gating layer that composes lookup + evaluation + decision + attestation in parallel with the AI page-generation step because the policy taxonomy, the per-vertical claims overlay, the per-state pricing-disclosure rules, the WORM-storage attestation, and the audit trail are operator-specific: the policy spec reflects the operator commercial agreements with manufacturers + retailer partners + marketplaces; the per-vertical claims overlay tracks the FTC + FDA + state-AG enforcement priorities operator legal team has approved; the WORM storage + chain-of-custody integrates with operator audit infrastructure. The work that remains operator-side spans four engineering surfaces: policy-engineering (policy-spec lookup across 12 classes); gate-engineering (evaluation with score-per-policy + weighted-aggregate + confidence-interval + evidence-citation at AI-generation throughput); routing-engineering (decision across 6 types with per-handler SLA); audit-engineering (WORM + chain-of-custody + per-vertical overlay). Completions absorbs all four surfaces under one Tier 3 Fractional CMO with AI Swarm engagement and hands the artifacts back at engagement end.
What does the engagement look like across Tier 1 to Tier 2 to Tier 3?
Tier 1 AI Readiness Assessment (2-3 weeks, diagnostic): audits four axes. Tier 2 AI Swarm Setup Sprint (4-8 weeks): builds 4-skill bundle on page-generator agent — completing the 16th 4-skill bundle + NEW Gate+Author PARALLEL TOPOLOGY + Pre-publish-gate 5th canonical instance + P19 MAP-pricing 10th sub-axis architecture. Tier 3 Fractional CMO with AI Swarm (6-month minimum, 1-2 days/wk embedded): continues operating end-to-end + cross-agent swarm coordination.
Who owns the registries?
Operator owns 100% of every artifact: 4 registries (in operator data infrastructure), 4-skill bundle model code (operator-owned + operator-merchandising-engineering-team-aligned), per-vertical compliance overlay (rule library in operator repo with attorney-approved updates), policy-spec library, LLM prompts, audit trail. Completions owns the orchestration knowledge.
What measurement and reporting does Completions commit to on Tier 3?
Measured against the operator pre-engagement baseline across six workstreams, reported weekly. (1) Policy-spec-lookup coverage trajectory — share of authored pages that resolved against an in-scope policy spec across the 12 policy classes; reported against the operator pre-engagement baseline (typically the share of pages that previously hit any policy gate at all). (2) Pre-publish gate-evaluation quality — per-policy-class precision + recall + confidence-distribution against an operator-labeled validation set; evidence-citation completeness rate; reported against the operator pre-engagement labeling baseline rather than a promised precision target because precision depends on the policy-spec library quality the operator legal team maintains and the labeled-validation regime operator runs. (3) Gate-decision-routing distribution — share of evaluations across the 6 decision types (block, allow, allow-with-warning, escalate-to-merchandising, escalate-to-legal, rewrite-and-regate); per-handler SLA adherence rate; per-handler escalation backlog. (4) False-positive + false-negative trace — false-positive-block trace (pages blocked that legal review subsequently cleared) + false-negative-publish trace (pages published that downstream review subsequently flagged), reported per-policy-class against the pre-engagement baseline rather than at a promised threshold because policy ambiguity + spec freshness depend on operator-side updates Completions does not unilaterally control. (5) Attestation persistence + chain-of-custody completeness — WORM-storage commit rate; attestor-identity completeness; chain-of-custody-record completeness; per-vertical compliance overlay reference completeness. (6) Downstream-violation propagation — MAP-policy partner-complaint trajectory (Amazon Brand Registry + Walmart Brand Portal); state-AG enforcement-letter exposure preempted (the goal is zero; this is a process commitment to operate the gate + audit trail, not a promise that zero will occur because enforcement-letter outcomes depend on state-AG priorities and partner-complaint outcomes depend on partner discretion). Process commitments are firm: weekly policy-spec library refresh against new manufacturer + retailer + marketplace agreements; weekly per-vertical claims overlay sync; weekly per-state pricing-disclosure + per-state availability-disclosure sync; weekly WORM-storage integrity audit; weekly audit-trail emission. Outcome targets are not promised because gate quality + downstream-violation outcomes depend on the policy-spec library operator legal team maintains + enforcement priorities the operator does not control.
How does engagement end and what is the operator transition path?
Tier 3 engagements are 6-month minimum with 90-day notice. At engagement end, Completions transitions back to operator in-house in 30-60 days: operating-playbook hand-off + in-house staff training + 4 registries hand-off + 4-skill bundle model code hand-off + per-vertical compliance overlay rule library hand-off + policy-spec library hand-off + LLM prompts hand-off + audit trail hand-off; Completions credentials revoke immediately.
Engage Completions
Start with the AI Readiness Assessment (Tier 1, 2-3 weeks). Hand off to Tier 2 (4-8 weeks). Continue under Tier 3 Fractional CMO with AI Swarm (6-month minimum, 1-2 days/wk embedded).
Or take the 3-question shape diagnostic first — no email required.