Completions

Skill catalog

Marketing compliance for regulated multi-location operators — every output checked before it ships

Every AI-generated post, page, ad, and email checked against the regulatory rules that apply to your verticals and your states — before it goes live, not after.

The problem

Your compliance officer cannot review 200 location pages and 800 social posts a month. Your lawyer bills $400 an hour. Generic AI tools hallucinate prohibited claims — supplement claims with no FTC substantiation, healthcare posts that breach HIPAA, financial-services language that violates FINRA. You cannot ship at AI speed without a check that knows your actual regulatory framework.

The current carrying cost runs $30,000 to $250,000 a year — legal retainer, a compliance-officer salary, periodic external audits, and the violation incidents that slip through anyway. A single HIPAA enforcement runs up to $50,000 per occurrence. FTC ad-substantiation challenges run $46,000 and up in disgorgement. A violation puts your license at risk. FINRA and SEC exposure is unlimited.

The deeper problem is the gap between the rules and your content production. Legal databases like Westlaw and Lexis answer questions for the lawyer. Policy-management platforms like Compliance.ai and OneTrust manage frameworks. None of them check AI marketing content before it publishes.

What success looks like

Every marketing output across every channel and every location passes through a regulatory check before it publishes. The check knows which rules apply to which locations — a multi-state pharmacy gets HIPAA plus state pharmacy boards plus FTC at the same time — and which jurisdictions apply to which content. A California-only campaign loads California-specific alcohol or pharmacy rules. A national campaign loads federal-only.

When a state agency clarifies a rule, the update happens once. Every piece of content already in flight gets auto-flagged for re-review inside the compliance window. When the FDA changes supplement-claim guidance, there is no fire drill. The system rolls the change in and surfaces what needs another look.

Every shipped artifact links back to the rule set version and the specific rule citation that approved it. Your regulator-defense package builds itself.

How most operators solve this today

A handful of existing tools touch the problem, but none of them actually check AI content before it publishes. Operators stack some combination of these and absorb the gap with people:

  • Legal counsel on retainer

    $30,000 to $200,000/year

    Answers rules questions and reviews high-stakes content manually. Bills hourly. Cannot scale to the volume your AI produces.

  • In-house compliance officer

    $120,000 to $180,000/year fully loaded

    Interprets regulations and writes policies. Reviewing every output by hand stops working past 50 locations.

  • Legal-research databases (Westlaw, Lexis)

    $5,000 to $15,000/year

    Reference material for the lawyer. They do not check your content.

  • Compliance-management platforms (Compliance.ai, LogicGate, NAVEX, OneTrust)

    $20,000 to $100,000/year

    Manage your policy library and produce audit reports. They sit upstream of content — they do not intercept what marketing is about to publish.

  • Single-channel compliance tools (Hearsay, Smarsh, PerformLine, Proofpoint)

    $10,000 to $60,000/year per tool

    Each one covers one channel for one framework (financial-services social archiving, affiliate marketing, email DLP). You end up paying for several of them, and nothing covers the whole stack.

  • External compliance audits

    $25,000 to $75,000 per cycle

    Catches violations after they ship. Useful for evidence and process improvement. Does not prevent the violation.

  • Build it in-house

    Senior engineer ($130-220k) + compliance officer time + ongoing maintenance

    Six to twelve months to ship a v1 for one vertical. Every new state or framework is another project.

What changes when this is an agent skill

Every place your business produces marketing content — location pages, Google Business Profile posts, review responses, social, email, search ads, paid social, product descriptions, loyalty offers, customer-service replies — runs through the same compliance check before anything publishes.

The rule library covers the frameworks that hit multi-location operators today: HIPAA for healthcare, FTC ad-substantiation, FINRA and SEC for financial services, alcohol marketing, state pharmacy boards, and state lottery. State-by-state rules layer on top, so a 50-state operator gets the right rules applied per location automatically.

The check runs in two passes. The first is fast pattern matching — known prohibited phrases, missing disclosures, required language. The second is an AI pass that catches the harder cases: implied health claims, undisclosed sponsorship language, context-dependent violations a regex would miss.

When your brand voice and a compliance rule disagree, the rule wins, and the override is documented with the citation. When a state agency changes a rule, you update it once and every piece of content already in flight gets re-checked. Every shipped artifact links back to the rule version and the specific citation that approved it — your audit trail builds itself.

Agents that include this skill

Skills live inside agent rentals. To get this skill in production, hire any of the agents below — context-tuning at onboarding is included in the first month.

FAQ

What does the compliance check actually do?
Before any AI-generated marketing content publishes — a location page, a social post, a review response, an email, an ad — it runs through a pattern check and an AI semantic check against the rules that apply to that content. Anything that fails routes to a human reviewer with the specific rule cited. Anything that passes ships with a record of which rule version approved it.
How is this different from what our compliance officer already does?
Your officer interprets rules and writes policies. This is the layer below — applying those policies to every output your AI produces. The officer configures the system and reviews borderline cases. The system handles the volume.
Which regulatory frameworks are supported at launch?
HIPAA, FTC ad-substantiation, FINRA and SEC, alcohol marketing, state pharmacy boards, state lottery, FDA supplements. New verticals get added as customer demand drives them.
Does this replace Compliance.ai, OneTrust, or NAVEX?
No. Those tools manage your policy library, consent flows, and audit reports. This sits one layer below them — actually checking content before it goes live. They work together. Your policies live there; the checks run here.
What happens when a state agency changes a rule?
You update the rule once, and every piece of content already in flight gets re-checked inside the compliance window. No fire drill. No manual sweep through hundreds of pages.
How is the audit trail handled for a regulator inquiry?
Every shipped artifact links to the rule version and the specific citation that approved it. Versioned history is retained for the regulatory window per vertical (six to seven years for most). When a regulator opens an inquiry, the evidence package builds itself.
Can an operator in multiple verticals stack rule sets?
Yes. A restaurant chain that serves alcohol in California and also sells supplements gets FTC ad-substantiation plus state alcohol plus supplement-claim restrictions plus federal supplement rules applied at the same time. A single piece of content has to pass every rule that applies to it.
What is the minimum operator size for this to make sense?
Twenty-plus locations for non-regulated verticals, or any regulated-vertical operator at any size. HIPAA exposure does not need scale — a single-location healthcare practice still carries enforcement risk on every social post.

Hire one of the agents that includes this skill

See all agents →Take the routing quiz