Done-for-you offer · Fractional CMO with AI Swarm · compliance-overlay-manager 4-skill bundle · compliance- overlay-manager agent
Per-jurisdiction compliance overlay configuration for multi- unit franchise, multi-location retail, multi-location service brand, DTC ecommerce, and PE-sponsored portfolio operators — Capture + Author + Version + Distribute 4-skill bundle on the compliance-overlay-manager agent, under a 5-anchor governance compliance overlay anchored on US state privacy patchwork, international privacy, sector-specific federal, AI-specific governance, and per-jurisdiction implementing-rule monitoring
The US state-comprehensive-privacy patchwork has expanded from five active statutes in 2023 to 20-plus statutes in 2026 with staggered effective dates and per-state AG implementing regulations. The international privacy regime spans GDPR, UK GDPR + PECR, Switzerland nFADP, Canadian PIPEDA, Quebec Law 25, Brazil LGPD, China PIPL, India DPDP Act, Australia, Korea, and Japan with per-jurisdiction implementing decisions. The sector-specific federal regime layers HIPAA, GLBA, FCRA, ECOA, Fair Housing, CAN-SPAM, TCPA, SEC Reg S-K (including Item 1.05 effective December 18, 2023), SOX, PCI DSS 4.0 (mandatory March 31, 2025), COPPA, ADA Title III, and per-vertical FDA + DEA + DISCUS + TTB + FDA CTP + per-state cannabis-regulator on top. The AI-specific regime adds NIST AI RMF + NIST CSF 2.0 + ISO 42001 + ISO 27001 + EU AI Act (Regulation 2024/1689) + Colorado AI Act (effective February 1, 2026) + NYC Local Law 144 (effective July 2023) + Illinois AI Video Interview Act + Maryland HB 1202 + Tennessee ELVIS Act + California ADMT regulations + EEOC AI guidance + September 2024 ADA AI guidance. Every other agent in your swarm needs to know which rules apply to which decision in which jurisdiction at which effective date — without each agent maintaining its own drifted copy of the regulatory universe. The privacy/ governance, AI governance, legal research, policy-as-code, WORM-storage, document management, and audit logging vendors below ship strong primitives. The orchestration above them — operator-counsel-approved rule authoring + version history with effective-date and supersession tracking + jurisdictional- conflict resolution + AI-specific overlay tagging + subscriber distribution flow + per-jurisdiction implementing-rule monitoring + audit attestation — is operator-side architecture. You keep the privacy and AI governance platforms, the legal research subscriptions, the policy-as-code system, the rule library, the version history, the jurisdictional-conflict resolution policy, the per-jurisdiction monitoring feeds, the WORM audit trail. You keep the ability to in-house at any time.
Published September 24, 2026
The real ecosystem this sits above
Privacy/governance platforms
OneTrust, TrustArc, Securiti, BigID, Ketch, Osano, Transcend, Truyo. Each ships strong cookie consent + DSAR + privacy assessment + privacy program primitives. Operator-counsel-approved rule authoring + jurisdictional- conflict resolution above them is operator-side architecture.
AI governance platforms
Credo AI, Holistic AI, Robust Intelligence, Arthur AI, Fiddler AI, WhyLabs, Mona, Aporia, Fairly, ModelOp. Each ships strong model risk + bias + fairness + explainability + governance workflow primitives. AI-specific overlay tagging + EU AI Act + Colorado AI Act + NYC LL144 + state employment-AI flow above them is operator-side architecture.
Legal research + document management
Legal research: Westlaw, Lexis+, Bloomberg Law, Practical Law, Compliance.ai, RegLantern, Regology. Document management: DocSend, Coda, Notion, Confluence, Google Workspace, Microsoft 365, Adobe Acrobat. Each ships strong research + document primitives. Regulatory-update Capture feed orchestration + version control above them is operator-side architecture.
Policy-as-code + audit logging
Policy-as-code: OPA Rego, AWS Cedar, Casbin, Cerbos, Oso. Audit logging: Splunk, Microsoft Sentinel, Google Chronicle, IBM QRadar, Sumo Logic, Elastic Security. Each ships strong primitives. Subscriber distribution flow + per-rule audit attestation above them is operator-side architecture.
WORM storage
AWS S3 Object Lock, GCS retention, Azure Blob immutable, Snowflake Time Travel. Each ships strong WORM primitives. Per-statute retention policy + per-rule version history retention above them is operator-side architecture.
Frequently asked
What does per-jurisdiction compliance overlay configuration actually deliver, and how does the 4-skill bundle decompose?
An orchestration layer that sits above the operator privacy/governance platform + AI governance + legal research + policy-as-code + WORM-storage + document management + audit logging stack and maintains the authoritative per-jurisdiction compliance overlay that every other agent in the swarm reads from. The skill is a four-skill bundle on the compliance-overlay-manager agent. Skill 1 — Capture: ingest regulatory developments from operator-counsel-selected legal research sources (Westlaw, Lexis+, Bloomberg Law, Practical Law, Compliance.ai, RegLantern, Regology — operator chooses), regulator publications (SEC EDGAR + FTC enforcement releases + EU Commission + EU EDPB + UK ICO + state AG offices + state insurance commissioners + state cannabis regulators + FDA + DEA + CFPB + HUD + EEOC + state employment-AI offices), and per-platform policy update feeds. Capture normalizes regulatory items to an operator-counsel-approved schema (jurisdiction, statute citation, effective date, supersedes, scope class, sector class, AI-specific flag, urgency tier). Skill 2 — Author: produce the operator-counsel-approved rule text for each in-scope item. Rule text uses operator-counsel-defined precision (statute citation + summary in operator-counsel-approved language + scope clarification + per-vertical applicability + counsel-policy-version). Author never autonomously interprets ambiguous statutes; counsel writes the operator-side rule and the orchestration enforces it. Skill 3 — Version: maintain per-rule version history with effective-date tracking, supersession chain, conflict identification across jurisdictions (e.g., a state law that conflicts with a different state law for cross-border data; an FCRA requirement that interacts with a state-comprehensive-privacy requirement), and operator-counsel-approved conflict-resolution decisions. Version writes per-rule per-version to the WORM audit trail with counsel-policy-version and effective-date-versioning. Skill 4 — Distribute: emit the authoritative current overlay to every subscriber agent in the swarm through the operator-chosen policy-as-code system (OPA Rego, AWS Cedar, Casbin, Cerbos, Oso — operator chooses). Subscriber agents do not maintain their own copies of the overlay; they read from the compliance-overlay-manager-distributed policy. When operator counsel approves a rule change, Distribute pushes the change with effective-date metadata; subscribers query the policy by transaction context (jurisdiction + sector + AI-specific status) and receive the rules in effect at evaluation time. The privacy/governance, AI governance, legal research, policy-as-code, WORM, document management, audit logging vendors below ship strong primitives. The orchestration above them — operator-counsel-approved schema + rule authoring + version control + jurisdictional-conflict resolution + subscriber distribution + audit trail — is operator-side architecture.
Where does single-vendor privacy management stop compounding for multi-jurisdiction operators?
Single-vendor privacy management is solved. OneTrust ships a strong privacy management platform with cookie consent + DSAR + privacy assessments + AI governance modules. TrustArc, Securiti, BigID, Ketch, Osano, Transcend, Truyo each ship strong privacy management. Credo AI + Holistic AI + Robust Intelligence + Arthur AI + Fiddler AI + WhyLabs + Mona + Aporia + Fairly + ModelOp ship strong AI governance. Westlaw + Lexis+ + Bloomberg Law + Practical Law + Compliance.ai + RegLantern + Regology ship strong legal research. The compound case the compliance-overlay-manager agent has to handle is the one where the operator runs across (a) the US state-comprehensive-privacy patchwork that has expanded rapidly — CCPA + CPRA (California) + Connecticut CTDPA + Virginia CDPA + Colorado CPA + Utah CPA were the early movers; Texas Data Privacy and Security Act effective July 1, 2024; Oregon Consumer Privacy Act effective July 1, 2024; Florida Digital Bill of Rights effective July 1, 2024; Tennessee Information Protection Act effective July 1, 2025; Montana CDPA effective October 1, 2024; Maryland Online Data Privacy Act effective October 1, 2025; Delaware PDPA effective January 1, 2025; Iowa CDPA effective January 1, 2025; New Hampshire SB 255 effective January 1, 2025; New Jersey AB 1971; Minnesota MCDPA; Nebraska Data Privacy Act effective January 1, 2025; Indiana CDPA effective January 1, 2026; Rhode Island Data Transparency and Privacy Protection Act effective January 1, 2026; Washington My Health My Data Act effective March 31, 2024 (health-data specific); plus state attorney general implementing regulations that lag the statute and modify scope — and each statute has its own definitions, sensitive-PI scope, opt-out mechanics, response windows, exemptions, and AG enforcement priorities, (b) the international privacy regime — GDPR + ePrivacy + UK GDPR + UK PECR + Switzerland nFADP + Canadian PIPEDA + Quebec Law 25 + Brazil LGPD + China PIPL + India DPDP Act + Australia Privacy Act + Korea PIPA + Japan APPI + per-jurisdiction implementing decisions that diverge, (c) the sector-specific federal regime — HIPAA + HITECH + FTC Health Breach Notification Rule + GLBA Safeguards Rule + FCRA + ECOA Regulation B + Fair Housing Act + CAN-SPAM + TCPA + state mini-TCPA + SEC Reg S-K (including Item 1.05 Material Cybersecurity Incidents effective December 18, 2023) + SOX + PCI DSS 4.0 (mandatory March 31, 2025) + COPPA + ADA Title III + CFPB UDAAP + per-vertical FDA OPDP + DEA + DISCUS + TTB + FDA CTP + per-state cannabis-regulator + state licensing-board, (d) the AI-specific regime — NIST AI RMF + NIST Cybersecurity Framework 2.0 (February 2024) + ISO 42001 + ISO 27001 + SOC 2 + EU AI Act (Regulation 2024/1689) + Colorado AI Act effective February 1, 2026 + NYC Local Law 144 effective July 2023 (bias audits for AEDTs) + Illinois Artificial Intelligence Video Interview Act + Maryland HB 1202 + Tennessee ELVIS Act + state employment-AI patchwork + EEOC AI guidance + September 2024 ADA AI guidance + California ADMT regulations under CCPA/CPRA (CPPA implementation rulemaking). When a single subscriber agent in the swarm needs to know whether a given decision triggers, say, both CCPA Section 1798.140(ae) cross-context-behavioral-advertising opt-out AND DSA Article 26 transparency AND EU AI Act Article 50 marking, it should not be carrying that determination logic itself — it should read the overlay from the compliance-overlay-manager. Without an orchestration layer above the privacy/governance + AI governance + legal research + policy-as-code vendors, the overlay fragments across subscriber agents (each agent maintains its own outdated copy), regulatory updates arrive at agents on different schedules, jurisdictional conflicts get resolved ad hoc, effective-date tracking breaks, and the audit trail of "which agent, evaluating which decision under which overlay version, on which date, with which counsel-policy-version applied" fragments. The orchestration above the vendors is what holds the cross-agent + cross-jurisdiction + cross-version + cross-conflict invariants.
How does Skill 3 Version handle effective-date tracking, supersession, and jurisdictional conflicts across the state-comprehensive-privacy patchwork?
Version operates against an operator-counsel-approved versioning model. Step 1 — per-rule effective-date metadata. Every rule carries (a) the statute citation, (b) the publication date, (c) the effective date (which often differs materially from publication — Connecticut CTDPA was signed in May 2022 and effective July 2023; Texas DPSA was signed in June 2023 and effective July 2024; Maryland Online Data Privacy Act was signed in May 2024 and effective October 2025; Tennessee Information Protection Act effective July 2025; Indiana CDPA effective January 2026 — the orchestration tracks both signing and effective-date separately because operators must implement before the effective date with counsel review windows), (d) supersession references (when a statute amends or supersedes a prior statute, the chain is tracked), (e) implementing-rule references (statutes often delegate implementing-rule authority to state AGs or other regulators; implementing rules can materially modify scope; the orchestration tracks the implementing-rule lifecycle separately). Step 2 — jurisdictional conflict identification. The orchestration flags potential conflicts. Example: a California consumer’s sensitive-PI request may trigger CCPA Section 1798.121 sensitive-PI opt-out + Maryland MODPA sensitive-data restrictions + Washington MHMDA health-data restrictions when the consumer interacts across states. State definitions of "sensitive data" vary; opt-out mechanics vary; response windows vary (CCPA 45 days; Colorado CPA 45 days; Texas DPSA 45 days; some states 60 days; some allow extensions). The orchestration surfaces the conflict candidates to operator counsel for resolution. Step 3 — operator-counsel-approved conflict resolution. Counsel applies the operator-counsel-approved resolution model — typically a most-restrictive-applicable-rule model (the operator complies with the most consumer-favorable rule across applicable jurisdictions to remain in compliance everywhere) or a strict-jurisdictional model (the operator applies the rule of the consumer’s residence jurisdiction). Counsel sets the resolution per case class. Step 4 — version-aware subscriber distribution. When subscriber agents query the overlay at evaluation time, the Distribute skill returns rules in effect at the evaluation timestamp with the operator-counsel-approved conflict resolution applied. Step 5 — audit. Per-rule per-version per-effective-date per-conflict-resolution writes to WORM audit trail with counsel-policy-version. The audit trail supports defense in a state-AG inquiry, a CPPA enforcement action, an EU supervisory-authority inquiry, or a private right-of-action under state-comprehensive-privacy (some states with PRA — California CCPA limited PRA; Washington MHMDA broad PRA; Colorado CPA via attorney general).
How does the orchestration handle AI-specific governance — NIST AI RMF + ISO 42001 + EU AI Act + Colorado AI Act + NYC LL144 + Illinois AIVIA + EEOC + California ADMT — alongside the broader privacy patchwork?
AI-specific governance is an overlay class within the broader overlay system. NIST AI Risk Management Framework (NIST AI 100-1) Govern + Map + Measure + Manage functions provide the management-system structure. NIST Cybersecurity Framework 2.0 (February 2024) Govern + Identify + Protect + Detect + Respond + Recover functions provide the security control structure. ISO/IEC 42001 AI Management System Standard provides the certifiable management-system layer. ISO/IEC 27001 + SOC 2 Type II provide information security. EU AI Act (Regulation 2024/1689) imposes risk-based obligations: Article 5 prohibited practices; Article 6 + Annex III high-risk system categories (employment + education + essential services + law enforcement + migration + justice + democracy); Articles 8-15 high-risk obligations (risk management + data governance + technical documentation + record-keeping + transparency + human oversight + accuracy/robustness/cybersecurity); Article 50 generative-AI transparency including AI-generated content marking; Article 26 deployer obligations; Article 60 testing in real-world conditions; Article 73 reporting of serious incidents. Colorado AI Act (Senate Bill 24-205, effective February 1, 2026) governs consequential decisions in employment + education + financial services + essential services + government services + healthcare + housing + insurance + legal services with algorithmic discrimination risk management + consumer notice + appeals process. NYC Local Law 144 (effective July 2023) requires bias audits and notice for automated employment decision tools. Illinois Artificial Intelligence Video Interview Act requires notice and consent for AI video interview analysis. Maryland HB 1202 governs AI hiring tools. Tennessee ELVIS Act protects against AI voice and likeness cloning. California Automated Decisionmaking Technology regulations under CCPA/CPRA (CPPA implementation rulemaking ongoing through 2024-2025) add consumer notice + opt-out + access + appeal for ADM decisions producing significant effects. EEOC AI hiring guidance + September 2024 ADA AI guidance frame federal employment-AI enforcement. The overlay tags every rule with (a) AI-specific status (yes/no), (b) AI-risk-tier when applicable (prohibited, high-risk, limited-risk, minimal-risk per EU AI Act), (c) consequential-decision class when applicable (Colorado AI Act enumerated categories), (d) AEDT class when applicable (NYC LL144), (e) generative-AI marking applicability (EU AI Act Article 50), (f) ADM significant-effects applicability (CCPA ADMT regs). Subscriber agents query the overlay with their decision context and receive the AI-specific rules in effect alongside the broader privacy and sector rules. When EU AI Act high-risk obligations conflict with US state employment-AI bias-audit obligations or with consumer-notice obligations, the orchestration surfaces the conflict for operator-counsel-approved resolution. The audit trail records per-rule AI-specific status + tier + decision context for defense in EU supervisory-authority inquiries + Colorado AG inquiries + NYC bias-audit reviews + EEOC inquiries + CPPA inquiries.
What compliance does the orchestration enforce, and how does it map to US state privacy + international + sector federal + AI-specific + per-jurisdiction monitoring?
Five anchors. Anchor 1 — US state-comprehensive-privacy patchwork. CCPA + CPRA (California) + Connecticut CTDPA + Virginia CDPA + Colorado CPA + Utah CPA + Texas DPSA (effective July 1, 2024) + Oregon CPA (effective July 1, 2024) + Florida Digital Bill of Rights (effective July 1, 2024) + Montana CDPA (effective October 1, 2024) + Delaware Personal Data Privacy Act (effective January 1, 2025) + Iowa CDPA (effective January 1, 2025) + New Hampshire SB 255 (effective January 1, 2025) + Nebraska Data Privacy Act (effective January 1, 2025) + Tennessee Information Protection Act (effective July 1, 2025) + Maryland Online Data Privacy Act (effective October 1, 2025) + Indiana CDPA (effective January 1, 2026) + Rhode Island Data Transparency and Privacy Protection Act (effective January 1, 2026) + Minnesota Consumer Data Privacy Act + New Jersey AB 1971 + Washington My Health My Data Act (effective March 31, 2024 — health-data) plus state AG implementing regulations + California ADMT regs under CPPA implementation rulemaking. Statutes have their own definitions, sensitive-PI scope, opt-out mechanics, response windows, exemptions, and AG enforcement priorities. Anchor 2 — International privacy regime. GDPR (EU) Articles 5 + 6 + 9 + 13 + 14 + 22 + 26 + 30 + 33 + 34 + 35 + ePrivacy Directive 2002/58/EC + UK GDPR + UK PECR + Switzerland Federal Act on Data Protection (nFADP effective September 2023) + Canadian PIPEDA + Quebec Law 25 (effective in stages 2022-2024) + Brazil LGPD + China PIPL (effective November 2021) + India Digital Personal Data Protection Act 2023 + Australia Privacy Act + Korea PIPA + Japan APPI + per-jurisdiction implementing decisions and supervisory authority guidance. Anchor 3 — Sector-specific federal regime. HIPAA + HITECH + FTC Health Breach Notification Rule 16 CFR Part 318 + GLBA Safeguards Rule + FCRA + ECOA Regulation B + Fair Housing Act + CAN-SPAM Act + TCPA 47 USC 227 + state mini-TCPA + SEC Reg S-K (including Item 1.05 Material Cybersecurity Incidents effective December 18, 2023) + SEC Reg G + SOX 302/404 + PCI DSS 4.0 (mandatory March 31, 2025) + COPPA 15 USC 6501 + ADA Title III + CFPB UDAAP + per-vertical FDA OPDP + DEA + DISCUS + TTB + FDA CTP + per-state cannabis-regulator + state licensing-board + state insurance + state real-estate + FTC Franchise Rule 16 CFR Part 436. Anchor 4 — AI-specific governance. NIST AI RMF + NIST CSF 2.0 + ISO 42001 + ISO 27001 + SOC 2 + EU AI Act (Regulation 2024/1689) + Colorado AI Act (Senate Bill 24-205 effective February 1, 2026) + NYC Local Law 144 (effective July 2023) + Illinois Artificial Intelligence Video Interview Act + Maryland HB 1202 + Tennessee ELVIS Act + California ADMT (CPPA rulemaking) + EEOC AI guidance + September 2024 ADA AI guidance + state employment-AI patchwork. Anchor 5 — Per-jurisdiction implementing-rule monitoring + policy-version tagging + jurisdictional-conflict resolution + counsel review cycle + WORM audit retention. Per-rule version history; effective-date tracking; supersession chain; operator-counsel-approved conflict-resolution model (most-restrictive-applicable-rule or strict-jurisdictional); per-rule subscriber distribution; per-rule audit attestation. Broader gate also enforced: per-vendor SOC 2 + ISO 27001 attestation + per-vendor sub-processor attestation + per-vendor SLA attestation + per-jurisdiction data-residency requirements via policy-as-code (OPA Rego + AWS Cedar + Casbin + Cerbos + Oso). WORM audit trail (AWS S3 Object Lock + GCS retention + Azure Blob immutable + Snowflake Time Travel) with per-statute retention (GDPR 6yr + CCPA 3yr + HIPAA 6yr + SOX 7yr + SEC Reg S-K 5yr + PCI DSS 1yr minimum audit + FCRA 25mo + ECOA 25mo + FTC 7yr + state-AG variable + EU AI Act 10yr + ISO 42001 variable + IRS 7yr) 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 ($10k, 2-3 weeks, diagnostic): audits the operator current per-jurisdiction compliance overlay posture against the 4-skill bundle + 5-anchor governance compliance overlay + per-vendor privacy/governance + AI governance + legal research + policy-as-code + WORM state; deliverable is a gap-pack report identifying which jurisdictions lack operator-counsel-approved rule authoring, which effective dates are missing from version metadata, which jurisdictional conflicts lack counsel-approved resolution, whether subscriber agents read from the centralized overlay versus maintaining drifted local copies, whether AI-specific overlays (NIST AI RMF + ISO 42001 + EU AI Act + Colorado AI Act + NYC LL144 + Illinois AIVIA + California ADMT) are wired alongside privacy and sector overlays, whether per-jurisdiction implementing-rule monitoring is wired against state AG implementing regulations + EU supervisory authority guidance + EDPB guidelines + EU AI Office implementing acts + CPPA rulemaking, whether the audit trail captures per-rule per-version per-effective-date per-conflict-resolution evidence, and a recommended remediation sequence for Tier 2. Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks): builds the 4-skill bundle on the compliance-overlay-manager agent, wires privacy/governance + AI governance + legal research + policy-as-code + WORM-storage + document management + audit logging vendors (operator-chosen subset), configures the operator-counsel-approved schema + rule authoring policy + version control with effective-date and supersession tracking + jurisdictional-conflict resolution model + subscriber distribution flow + AI-specific overlay tagging + per-jurisdiction implementing-rule monitoring feeds + audit attestation, runs 30-day shadow + canary period before flipping to enforce-mode. Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk embedded): continues operating with weekly regulatory-update Capture + monthly Author cycles with counsel + quarterly per-jurisdiction overlay review against effective dates and implementing-rule progression + quarterly compliance evidence packages. Tier 3 reporting is a 6-workstream pre-engagement-baseline reporting cycle (regulatory-update Capture freshness + Author cycle-time + version effective-date tracking accuracy + jurisdictional-conflict resolution coverage + subscriber overlay distribution latency + WORM audit-trail completeness) measured against the operator’s pre-engagement baseline. Each workstream surfaces trend direction and the gap to operator-defined targets. Reporting carries explicit caveats: privacy/governance + AI governance + legal research + policy-as-code vendor SLA + state-comprehensive-privacy statute amendments + state AG implementing regulations + CPPA rulemaking + GDPR + ePrivacy + UK ICO + Swiss FDPIC + Canadian OPC + Quebec CAI + Brazil ANPD + China CAC + India DPDPA implementing rules + Australia OAIC + Korea PIPC + Japan PPC implementing guidance + sector regulator amendments (FDA OPDP + DEA + DISCUS + TTB + FDA CTP + state cannabis-regulator + state licensing-board + state insurance + state real-estate + FTC + CFPB + HUD + EEOC) + NIST AI RMF version updates + NIST CSF 2.0 amendments + ISO 42001 + ISO 27001 amendments + EU AI Act implementing acts + EU AI Office guidance + Colorado AI Act implementing rules + NYC LL144 amendments + Illinois AIVIA amendments + Maryland HB 1202 + Tennessee ELVIS Act amendments + state employment-AI statute amendments + EEOC AI guidance amendments sit outside Completions control. Attorney-client privilege preservation across operator-counsel-approved schema + rule authoring + version history + jurisdictional-conflict resolution + AI-specific overlay records + per-jurisdiction implementing-rule monitoring records is maintained per operator counsel policy.
Who owns the rule library, the version history, the conflict-resolution policy, the per-jurisdiction monitoring feeds, and the audit trail?
Operator owns every artifact. The privacy/governance platform subscription (OneTrust, TrustArc, Securiti, BigID, Ketch, Osano, Transcend, Truyo — operator chooses) runs under operator billing on operator-controlled accounts. The AI governance platform subscription (Credo AI, Holistic AI, Robust Intelligence, Arthur AI, Fiddler AI, WhyLabs, Mona, Aporia, Fairly, ModelOp — operator chooses) runs under operator billing. The legal research subscriptions (Westlaw, Lexis+, Bloomberg Law, Practical Law, Compliance.ai, RegLantern, Regology — operator chooses) run under operator billing. The document management tooling (DocSend, Coda, Notion, Confluence, Google Workspace, Microsoft 365, Adobe Acrobat — operator chooses) runs under operator billing. The audit logging subscription (Splunk, Microsoft Sentinel, Google Chronicle, IBM QRadar, Sumo Logic, Elastic Security — operator chooses) runs under operator billing. The operator-counsel-approved schema + rule authoring policy + version control + effective-date tracking + supersession chain + jurisdictional-conflict resolution model + per-jurisdiction implementing-rule monitoring feeds + AI-specific overlay tagging + subscriber distribution flow + per-rule audit attestation library all live in operator counsel repo. The Capture + Author + Version + Distribute skill code lives in operator code repo. The policy-as-code policies (OPA Rego + AWS Cedar + Casbin + Cerbos + Oso) live in operator code repo, counsel-aligned. The WORM audit trail lives on operator-controlled cloud storage (AWS S3 Object Lock + GCS retention + Azure Blob immutable + Snowflake Time Travel) with per-statute retention enforcement. The US state privacy + international privacy + sector federal + AI-specific compliance evidence records are operator-counsel-maintained. Completions owns the orchestration knowledge — how to design the per-jurisdiction overlay schema against the operator’s actual territory + sector + AI mix, how to wire regulatory-update Capture against operator counsel’s actual research feed mix, how to wire jurisdictional-conflict resolution against operator counsel’s preferred resolution model, how to wire AI-specific overlay tagging against the operator’s AI use cases, how to wire subscriber distribution so swarm agents read from a single source of truth, how to coordinate the audit-trail attestation across regulators with different inquiry styles — and that knowledge transfers under the Tier 3 transition path (30-60 days at engagement end with full hand-off of the schema maintenance playbook, the rule authoring runbook, the version control runbook, the jurisdictional-conflict resolution playbook, the AI-specific overlay maintenance playbook, the subscriber distribution playbook, the per-jurisdiction implementing-rule monitoring playbook, and the compliance evidence-package generation playbook). Completions credentials revoke on engagement-end.
Engage Completions
Start with the AI Readiness Assessment (Tier 1, 2-3 weeks, $10k): audit of operator current per-jurisdiction compliance overlay posture against the 4-skill bundle + 5-anchor governance compliance overlay + per-vendor privacy/ governance + AI governance + legal research + policy-as-code + WORM state. Hand off to Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks): build the 4-skill bundle on the compliance-overlay-manager agent, wire privacy/governance + AI governance + legal research + policy-as-code + WORM- storage + document management + audit logging, configure operator-counsel-approved schema + rule authoring policy + version control + effective-date and supersession tracking + jurisdictional-conflict resolution + AI-specific overlay tagging + subscriber distribution flow + per-jurisdiction implementing-rule monitoring + audit attestation, run 30- day shadow + canary before flipping to enforce-mode. Continue under Tier 3 Fractional CMO with AI Swarm ($15-25k/ mo, 6-month minimum, 1-2 days/wk embedded).