Completions

Done-for-you offer · Fractional CMO with AI Swarm · brand-voice 4-skill bundle · brand-voice agent

Brand-voice attribute extraction for DTC ecommerce, subscription-commerce, marketplace, multi-location retail, multi-unit franchise, multi-location service brand, multi-location healthcare, and PE-sponsored portfolio operators — Ingest + Extract + Codify + Attest 4-skill bundle on the brand-voice agent, under a 5-anchor compliance overlay anchored on per-vendor LLM zero-retention + corpus-confidentiality + LLM- training-opt-out + commercial-use + sub-processor + international-transfer, copyright + Midler v Ford + Waits v Frito-Lay + state-by-state right of publicity + Lanham 43(a) trade dress + VARA + DMCA when corpus contains third-party + Andersen + Getty + NYT v OpenAI when AI extracts, FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative when brand-voice drives operator-facing claims, ECOA + Fair Housing + Title VII + Mobley + per-vendor protected-class-fields prohibition when brand-voice feeds AI + CCPA + GDPR + state- comprehensive-privacy, and NIST AI RMF + EU AI Act Article 50 + C2PA Content Credentials

You extract operator-distinct brand-voice attributes (tone + register + diction + cadence + brand-signature- phrase + brand-signature-syntax + brand-anti-pattern + per-channel-variant + per-audience-variant) from operator brand corpus and codify as operator-counsel- and-marketing-team-and-creative-team-approved brand- voice spec. Per-vendor LLM zero-retention attestation chain (OpenAI Enterprise + Anthropic + Google Vertex + Azure OpenAI + AWS Bedrock zero-retention) + per-vendor corpus-confidentiality + per-vendor LLM-training-opt- out + per-vendor commercial-use rights + per-vendor sub-processor under GDPR Article 28 + per-vendor international-transfer (EU Standard Contractual Clauses + UK IDTA + Data Privacy Framework) apply per vendor. When operator brand corpus contains third-party voice or imagery, Midler v Ford (9th Cir 1988) + Waits v Frito-Lay (9th Cir 1992) voice + likeness + state-by- state right of publicity (California Civil Code 3344 + New York Civil Rights Law 50/51 + Texas Property Code Chapter 26 + Florida Statutes 540.08 + Tennessee Code 47-25-1101 + Indiana Code 32-36-1) + Lanham Act Section 43(a) trade dress + Visual Artists Rights Act VARA + DMCA Section 1201 apply. When AI extracts from corpus, per-vendor generative-AI training-data provenance posture under active generative-AI copyright cases (Andersen v Stability AI ND Cal 2024 + Getty Images v Stability AI Del Ch 2025 + The New York Times v OpenAI 2023) applies. When brand-voice spec drives operator- facing claims, FTC Section 5 + FTC Endorsement Guides + FTC Fake Review Rule (effective October 2024) + FTC Made-in-USA Labeling Rule + Lanham Act + per-state UDAP + per-vertical product-claim regulator + per-state attorney comparative-advertising (ABA Model Rule 7.1- 7.5) apply. When brand-voice spec feeds AI scoring, ECOA 15 USC 1691 + Fair Housing Act 42 USC 3604 + Title VII + ADEA + ADA + per-state similar + EEOC + HUD + state-AG + Mobley v Workday (ND Cal 2024) + per-vendor protected-class-fields prohibition apply. CCPA + GDPR + state-comprehensive-privacy + COPPA + AADC + cookie consent apply broadly. NIST AI RMF + ISO 42001 + EU AI Act (Regulation 2024/1689) Article 13 + Article 14 + Article 26 + Article 50 + C2PA Content Credentials apply when AI-extracted. The brand-voice spec engine, DAM, headless CMS, LLM, embeddings, and vector database vendors below ship strong primitives. The orchestration above them is operator-side architecture. You keep all subscriptions, signing keys, posture libraries, registers, and audit trail. You keep the ability to in-house at any time.

Published October 27, 2026

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The real ecosystem this sits above

Brand-voice spec engines + DAM + headless CMS

Brand-voice spec engines: Acrolinx, Writer.com, Persado, Jasper. DAM: Bynder, Brandfolder, Canto, Frontify, Widen, Aprimo. Headless CMS: Contentful, Sanity, Strapi, Storyblok, Hygraph, Prismic, Builder.io, Webflow, WordPress. Each ships strong primitives. Per-vendor LLM zero-retention + corpus- confidentiality + LLM-training-opt-out + commercial- use + sub-processor + international-transfer register above them is operator-side architecture.

LLM + embeddings + vector databases

LLM: OpenAI Enterprise, Anthropic, Google Vertex, Azure OpenAI, AWS Bedrock zero-retention. Embeddings: OpenAI text-embedding-3, Cohere Embed v3, Voyage AI, Anthropic embeddings, open-source SBERT, Instructor. Vector databases: Pinecone, Weaviate, Qdrant, Chroma, Milvus, pgvector, Vespa. Each ships strong primitives. Per-asset right-of-publicity + Lanham 43(a) trade dress + VARA + DMCA register + per-vendor generative- AI training-data provenance + FTC + Lanham + per- state UDAP + per-vertical + per-state attorney comparative + ECOA + Fair Housing + Title VII + Mobley + protected-class-fields-prohibition + EU AI Act Article 50 marking + C2PA Content Credentials above them is operator-side architecture.

Policy-as-code + WORM + legal research

Policy-as-code: OPA Rego, AWS Cedar, Casbin, Cerbos, Oso. WORM: AWS S3 Object Lock, GCS retention, Azure Blob immutable, Snowflake Time Travel. Legal: Westlaw, Lexis+, Bloomberg Law, Practical Law. Each ships strong primitives. The 5-anchor compliance gate is operator-side architecture.

Frequently asked

What does brand-voice attribute extraction deliver, and how does the 4-skill bundle decompose?

An orchestration layer above the operator brand-voice corpus + brand-voice spec engine + DAM + headless CMS + LLM + embeddings + vector + policy-as-code + WORM-storage stack that extracts operator-distinct brand-voice attributes (tone + register + diction + cadence + brand-signature-phrase + brand-signature-syntax + brand-anti-pattern + per-channel-variant + per-audience-variant) from operator brand corpus and codifies as operator-counsel-and-marketing-team-and-creative-team-approved brand-voice spec under per-vendor LLM zero-retention + per-vendor corpus-confidentiality + per-vendor LLM-training-opt-out + per-vendor commercial-use + per-vendor sub-processor + copyright + Midler + Waits + state-by-state right of publicity + Lanham 43(a) trade dress + VARA + DMCA + per-vendor generative-AI training-data provenance + FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative + CCPA + GDPR + state-comprehensive-privacy + ECOA + Fair Housing + Title VII + Mobley + per-vendor protected-class-fields prohibition + NIST AI RMF + EU AI Act Article 50 + C2PA Content Credentials gates. Skill 1 — Ingest: ingest operator brand corpus through operator DAM (Bynder + Brandfolder + Canto + Frontify + Widen + Aprimo — operator chooses) + headless CMS (Contentful + Sanity + Strapi + Storyblok + Hygraph + Prismic + Builder.io + Webflow + WordPress — operator chooses) into operator-controlled corpus repository. Ingest respects operator-counsel-and-CISO-approved per-vendor corpus-confidentiality + per-vendor LLM-training-opt-out + per-vendor commercial-use rights + per-vendor sub-processor under GDPR Article 28 + per-vendor international-transfer (EU Standard Contractual Clauses + UK IDTA + Data Privacy Framework). When operator brand corpus contains third-party voice or imagery, Ingest enforces operator-counsel-approved per-asset right-of-publicity register (Midler v Ford 9th Cir 1988 + Waits v Frito-Lay 9th Cir 1992 + state-by-state right of publicity — California Civil Code 3344 + New York Civil Rights Law 50/51 + Texas Property Code Chapter 26 + Florida Statutes 540.08 + Tennessee Code 47-25-1101 + Indiana Code 32-36-1) + Lanham Act Section 43(a) trade dress register + Visual Artists Rights Act VARA register + DMCA Section 1201 register. Skill 2 — Extract: extract brand-voice attributes through operator LLM (OpenAI Enterprise + Anthropic + Google Vertex + Azure OpenAI + AWS Bedrock — operator chooses) + embeddings (OpenAI text-embedding-3 + Cohere Embed v3 + Voyage AI + Anthropic embeddings + open-source SBERT + Instructor — operator chooses) + vector databases (Pinecone + Weaviate + Qdrant + Chroma + Milvus + pgvector + Vespa — operator chooses) under per-vendor LLM zero-retention. Extract operates under per-vendor generative-AI training-data provenance posture per active generative-AI copyright cases (Andersen v Stability AI ND Cal 2024 + Getty Images v Stability AI Del Ch 2025 + NYT v OpenAI 2023) to ensure operator-controlled extraction does not inadvertently train per-vendor model weights without operator-counsel-approved opt-out. Skill 3 — Codify: codify extracted brand-voice attributes as operator-counsel-and-marketing-team-and-creative-team-approved brand-voice spec through operator brand-voice spec engine (Acrolinx + Writer.com + Persado + Jasper — operator chooses). Codify respects operator-counsel-and-DEI-team-and-compliance-team-approved protected-class-fields prohibition per ECOA 15 USC 1691 + Fair Housing Act 42 USC 3604 + Title VII + ADEA + ADA + per-state similar + EEOC + HUD + state-AG + Mobley v Workday (ND Cal 2024) when brand-voice spec feeds AI scoring. When brand-voice spec drives operator-facing claims (per-platform tone + per-platform compliance-language pattern + per-vertical-permitted phrase + per-state-attorney-comparative phrase), Codify enforces FTC Section 5 + FTC Endorsement Guides + FTC Made-in-USA Labeling Rule + FTC Fake Review Rule (effective October 2024) + Lanham Act + per-state UDAP + per-vertical product-claim regulator (FDA OPDP + DEA + DISCUS + + FDA CTP + FTC Health Products + state insurance + state real-estate + state medical-board) + per-state attorney comparative-advertising (ABA Model Rule 7.1-7.5). Skill 4 — Attest: emit per-corpus per-version per-extraction per-attribute attestation (per-vendor LLM zero-retention compliance + per-vendor corpus-confidentiality + per-vendor LLM-training-opt-out + per-vendor commercial-use + per-vendor sub-processor + per-vendor international-transfer compliance + per-asset right-of-publicity-cleared + Lanham 43(a) trade dress-cleared + VARA-cleared + DMCA-cleared when corpus contains third-party + per-vendor generative-AI training-data provenance compliance + Andersen-and-Getty-and-NYT-case-law-version-evidence-pointer + protected-class-fields prohibition coverage when brand-voice feeds AI + FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative-advertising posture when brand-voice drives operator-facing claims + CCPA + GDPR + state-comprehensive-privacy compliance + EU AI Act Article 50 marking when AI-extracted + C2PA Content Credentials embedded + counsel-policy-version + marketing-team-policy-version + creative-team-policy-version + CISO-policy-version + DEI-team-policy-version + AI-governance-team-policy-version) to the operator WORM audit trail.

Where does single-vendor brand-voice spec engine or LLM tooling stop compounding for brand-voice attribute extraction at DTC ecommerce scale?

Single-vendor brand-voice spec engine is solved. Acrolinx + Writer.com + Persado + Jasper ship strong managed brand-voice spec engines. Single-vendor LLM is solved. OpenAI Enterprise + Anthropic + Google Vertex + Azure OpenAI + AWS Bedrock ship strong managed LLM. Single-vendor DAM is solved. Bynder + Brandfolder + Canto + Frontify + Widen + Aprimo. Headless CMS: Contentful + Sanity + Strapi + Storyblok + Hygraph + Prismic + Builder.io + Webflow + WordPress. Embeddings: OpenAI text-embedding-3 + Cohere Embed v3 + Voyage AI + Anthropic embeddings + open-source SBERT + Instructor. Vector databases: Pinecone + Weaviate + Qdrant + Chroma + Milvus + pgvector + Vespa. The compound case the brand-voice agent has to handle is the one where (a) operator runs DTC ecommerce + subscription-commerce + marketplace × per-channel + per-audience + per-vertical × per-corpus-version × per-extraction-cycle, (b) per-vendor LLM zero-retention + per-vendor corpus-confidentiality + per-vendor LLM-training-opt-out + per-vendor commercial-use rights + per-vendor sub-processor under GDPR Article 28 + per-vendor international-transfer (EU Standard Contractual Clauses + UK IDTA + Data Privacy Framework) apply, (c) when operator brand corpus contains third-party voice or imagery, Midler v Ford (9th Cir 1988) + Waits v Frito-Lay (9th Cir 1992) + state-by-state right of publicity + Lanham Act Section 43(a) trade dress + Visual Artists Rights Act VARA + DMCA Section 1201 apply, (d) when AI extracts from corpus, per-vendor generative-AI training-data provenance posture under active generative-AI copyright cases (Andersen v Stability AI ND Cal 2024 + Getty Images v Stability AI Del Ch 2025 + NYT v OpenAI 2023) applies, (e) when brand-voice spec drives operator-facing claims, FTC Section 5 + FTC Endorsement Guides + FTC Fake Review Rule (effective October 2024) + FTC Made-in-USA Labeling Rule + Lanham Act + per-state UDAP + per-vertical product-claim regulator + per-state attorney comparative-advertising apply, (f) when brand-voice spec feeds AI scoring, ECOA + Fair Housing + Title VII + Mobley v Workday (ND Cal 2024) + per-vendor protected-class-fields prohibition apply, (g) CCPA + GDPR + state-comprehensive-privacy + COPPA + AADC + cookie consent apply broadly, (h) NIST AI RMF + ISO 42001 + EU AI Act (Regulation 2024/1689) Article 13 + Article 14 + Article 26 + Article 50 + C2PA Content Credentials apply when AI-extracted. Without an orchestration layer above the vendors, per-vendor LLM zero-retention + per-vendor corpus-confidentiality + per-vendor LLM-training-opt-out + per-vendor commercial-use fragments, per-asset right-of-publicity + Lanham 43(a) trade dress + VARA + DMCA register fragments when corpus contains third-party, per-vendor generative-AI training-data provenance posture fragments under active copyright cases, FTC + Lanham + per-state UDAP + per-vertical + per-state attorney comparative posture goes unmaintained when brand-voice drives operator-facing claims, ECOA + Fair Housing + Title VII + Mobley + protected-class-fields-prohibition fragments when brand-voice feeds AI scoring, EU AI Act Article 50 marking + C2PA Content Credentials fragments when AI-extracted. The orchestration above the vendors is what holds the cross-vendor + cross-extraction + cross-vertical invariants.

How does Skill 2 Extract handle per-vendor LLM zero-retention + LLM-training-opt-out + generative-AI training-data provenance (Andersen + Getty + NYT v OpenAI)?

Per-vendor LLM posture is operator-counsel-and-CISO-approved per-vendor. OpenAI Enterprise + Anthropic API + Google Vertex AI + Microsoft Azure OpenAI Service + AWS Bedrock offer zero-retention attestation under specific commercial terms — operator-counsel-approved DPAs include zero-retention language so operator inputs and outputs are not retained by per-vendor for training or other purposes. Per-vendor LLM-training-opt-out is also operator-counsel-approved per-vendor; some per-vendor terms allow opt-out of using operator corpus to train models, others require explicit opt-out, and others contractually exclude operator data from training by default — verify per-vendor active terms. Per-vendor commercial-use rights vary per-vendor — verify operator-counsel-approved per-vendor active terms. Per-vendor sub-processor under GDPR Article 28 + per-vendor international-transfer (EU Standard Contractual Clauses + UK IDTA + Data Privacy Framework) apply when corpus or extraction touches EU-resident data. Active generative-AI copyright cases continue to evolve — Andersen v Stability AI (ND Cal 2024) + Getty Images v Stability AI (Del Ch 2025) + The New York Times v OpenAI (2023) shape per-vendor liability posture for inadvertent training-data ingestion. Extract refuses to attach to per-vendor LLM that lacks operator-counsel-approved zero-retention + LLM-training-opt-out + commercial-use + sub-processor + international-transfer posture; per-vendor LLM attestation chain writes to WORM audit trail with rule-citation evidence + per-vendor-DPA-version + case-law-version-evidence-pointer + counsel-policy-version + CISO-policy-version.

What compliance does the orchestration enforce, and how does it map to per-vendor LLM zero-retention + right of publicity + Lanham + FTC + ECOA + Mobley + NIST AI RMF + EU AI Act Article 50?

Five anchors. Anchor 1 — Per-vendor LLM zero-retention + corpus-confidentiality + LLM-training-opt-out + commercial-use + sub-processor + international-transfer. Per-vendor LLM zero-retention (OpenAI Enterprise + Anthropic + Google Vertex + Azure OpenAI + AWS Bedrock zero-retention) + per-vendor corpus-confidentiality + per-vendor LLM-training-opt-out + per-vendor commercial-use rights + per-vendor sub-processor under GDPR Article 28 + per-vendor international-transfer (EU Standard Contractual Clauses + UK IDTA + Data Privacy Framework). Anchor 2 — Copyright + right of publicity + Lanham 43(a) trade dress + VARA + DMCA + per-vendor generative-AI training-data provenance when corpus contains third-party + AI extracts. Copyright 17 USC 102 + Midler v Ford (9th Cir 1988) + Waits v Frito-Lay (9th Cir 1992) voice + likeness + state-by-state right of publicity (California Civil Code 3344 + New York Civil Rights Law 50/51 + Texas Property Code Chapter 26 + Florida Statutes 540.08 + Tennessee Code 47-25-1101 + Indiana Code 32-36-1) + Lanham Act Section 43(a) trade dress + Visual Artists Rights Act VARA + DMCA Section 1201 + per-vendor generative-AI training-data provenance posture per active generative-AI copyright cases (Andersen v Stability AI ND Cal 2024 + Getty Images v Stability AI Del Ch 2025 + The New York Times v OpenAI 2023). Anchor 3 — FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative when brand-voice spec drives operator-facing claims. FTC Section 5 + FTC Endorsement Guides (updated 2023, 16 CFR Part 255) + FTC Made-in-USA Labeling Rule + FTC Fake Review Rule (effective October 2024) + Lanham Act 15 USC 1125(a) + per-state UDAP + per-vertical product-claim regulator (FDA OPDP + DEA + DISCUS + per--regulator + FDA Center for Tobacco Products + FTC Health Products Compliance Guidance + state insurance + state real-estate + state medical/dental/legal/accounting board) + per-state attorney comparative-advertising (ABA Model Rule 7.1-7.5). Anchor 4 — ECOA + Fair Housing + Title VII + Mobley + per-vendor protected-class-fields prohibition when brand-voice spec feeds AI scoring + CCPA + GDPR + state-comprehensive-privacy. ECOA 15 USC 1691 + Fair Housing Act 42 USC 3604 + Title VII + ADEA + ADA + per-state similar + EEOC + HUD + state-AG + Mobley v Workday (ND Cal 2024) + per-vendor protected-class-fields prohibition + CCPA Section 1798.140(ae) + CPRA Sensitive Personal Information Section 1798.121 + Washington MHMDA + Colorado CPA Sensitive + Connecticut CTDPA + Texas TDPSA + Oregon OCPA + state-comprehensive-privacy + GDPR + UK GDPR + EU DSA + COPPA + AADC + cookie consent. Anchor 5 — NIST AI RMF + ISO 42001 + EU AI Act Article 50 + C2PA Content Credentials. NIST AI RMF (NIST AI 100-1) + ISO/IEC 42001 Clause 8 + EU AI Act (Regulation 2024/1689) Article 13 + Article 14 + Article 26 + Article 50 generative-content marking when AI-extracted + C2PA Content Credentials embedded + Adobe Firefly embedded credentials. Broader gate enforced via policy-as-code. WORM audit trail with per-statute retention per operator counsel policy.

What does the engagement look like across Tier 1 → Tier 2 → Tier 3, and what does the Tier 3 reporting cycle commit to?

Tier 1 AI Readiness Assessment (2-3 weeks): audits the operator current brand-voice attribute extraction posture; gap-pack identifies which per-vendor LLM lacks operator-counsel-approved zero-retention + LLM-training-opt-out + commercial-use + sub-processor + international-transfer posture, which brand corpus contains third-party voice or imagery without right-of-publicity-cleared + Lanham 43(a) trade dress-cleared + VARA-cleared + DMCA-cleared register, which lacks per-vendor generative-AI training-data provenance posture under Andersen + Getty + NYT v OpenAI active cases, which brand-voice spec drives operator-facing claims without FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative posture, which brand-voice spec feeds AI scoring without ECOA + Fair Housing + Title VII + Mobley + protected-class-fields-prohibition coverage, whether NIST AI RMF + ISO 42001 + EU AI Act Article 13/14/50 + C2PA Content Credentials is wired, whether CCPA + GDPR + DSA + COPPA + AADC + cookie consent is wired. Tier 2 AI Swarm Setup Sprint (4-8 weeks): builds the 4-skill bundle on the brand-voice agent, wires brand-voice corpus + brand-voice spec engine + DAM + headless CMS + LLM + embeddings + vector + policy-as-code + WORM-storage (operator-chosen subset), configures the operator-counsel-and-CISO-and-marketing-team-and-creative-team-and-DEI-team-and-compliance-team-and-AI-governance-team-approved per-vendor LLM zero-retention attestation chain + per-vendor corpus-confidentiality + per-vendor LLM-training-opt-out + per-vendor commercial-use + per-vendor sub-processor + per-vendor international-transfer register + per-asset right-of-publicity + Lanham 43(a) trade dress + VARA + DMCA register when corpus contains third-party + per-vendor generative-AI training-data provenance register + FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative-advertising posture + protected-class-fields prohibition policy + CCPA + GDPR + state-comprehensive-privacy posture + NIST AI RMF + ISO 42001 + EU AI Act Article 13/14/50 + C2PA Content Credentials flow, runs 30-day shadow + canary with Extract in audit-only before flipping to enforce-mode. Tier 3 Fractional CMO with AI Swarm (6-month minimum): continues with continuous Ingest + Extract + Codify + Attest. Tier 3 reporting is a 6-workstream pre-engagement-baseline reporting cycle (per-vendor LLM zero-retention + corpus-confidentiality + LLM-training-opt-out + commercial-use + sub-processor + international-transfer posture freshness + per-asset right-of-publicity + Lanham 43(a) + VARA + DMCA register freshness + per-vendor generative-AI training-data provenance posture freshness + FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative-advertising posture freshness when brand-voice drives operator-facing claims + protected-class-fields-prohibition coverage rate when brand-voice feeds AI scoring + CCPA + GDPR + state-comprehensive-privacy posture freshness + EU AI Act Article 50 marking + C2PA Content Credentials embedding rate + WORM audit-trail completeness) measured against the operator pre-engagement baseline. Reporting carries explicit caveats sit outside Completions control + attorney-client privilege preservation.

Who owns the brand corpus, the brand-voice spec engine, the DAM, the LLM + embeddings + vector accounts, the per-vendor LLM posture register, and the audit trail?

Operator owns every artifact. Brand corpus + DAM (Bynder + Brandfolder + Canto + Frontify + Widen + Aprimo — operator chooses) runs under operator billing with operator-counsel-approved per-asset rights-cleared register. Brand-voice spec engine (Acrolinx + Writer.com + Persado + Jasper — operator chooses) runs under operator account. Headless CMS (Contentful + Sanity + Strapi + Storyblok + Hygraph + Prismic + Builder.io + Webflow + WordPress — operator chooses) runs under operator billing. Embeddings (OpenAI text-embedding-3 + Cohere Embed v3 + Voyage AI + Anthropic embeddings + open-source SBERT + Instructor — operator chooses) run under operator account with operator-counsel-approved DPAs. Vector databases (Pinecone + Weaviate + Qdrant + Chroma + Milvus + pgvector + Vespa — operator chooses) run under operator cloud account. LLM provider contracts (OpenAI Enterprise + Anthropic API + Google Vertex AI + Microsoft Azure OpenAI Service + AWS Bedrock — operator chooses) run under operator account with operator-counsel-approved DPAs + zero-retention attestation + LLM-training-opt-out + commercial-use rights + sub-processor + international-transfer compliance. The operator-counsel-and-CISO-and-marketing-team-and-creative-team-and-DEI-team-and-compliance-team-and-AI-governance-team-approved per-vendor LLM zero-retention attestation chain + per-vendor corpus-confidentiality + per-vendor LLM-training-opt-out + per-vendor commercial-use + per-vendor sub-processor + per-vendor international-transfer register + per-asset right-of-publicity + Lanham 43(a) trade dress + VARA + DMCA register + per-vendor generative-AI training-data provenance register + FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative-advertising posture + protected-class-fields prohibition policy + CCPA + GDPR + state-comprehensive-privacy posture + NIST AI RMF + ISO 42001 + EU AI Act Article 13/14/50 + Article 50 marking flow + C2PA Content Credentials flow records all live in operator counsel + CISO + marketing + creative + DEI + compliance + AI-governance repo. The Ingest + Extract + Codify + Attest skill code lives in operator code repo. The policy-as-code policies live in operator code repo, counsel-aligned. The WORM audit trail lives on operator-controlled cloud storage. Completions owns the orchestration knowledge and transfers it under the Tier 3 transition path (30-60 days at engagement end). Completions credentials revoke on engagement-end.

Engage Completions

Start with the AI Readiness Assessment (Tier 1, 2-3 weeks). Hand off to Tier 2 AI Swarm Setup Sprint (4-8 weeks). Continue under Tier 3 Fractional CMO with AI Swarm ( 6-month minimum, 1-2 days/wk embedded).

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