The data layer — every capability

Answer any privacy request in one export — across every system you use

When a customer asks what data you have on them — or asks you to delete it — the answer comes from one place and reaches every downstream system automatically.

Audit trail for regulated multi-location operators — evidence packages that build themselves

Every change to every location record, every shipped marketing artifact, every applicable rule — versioned, linked, queryable at any point in time, retained for the window your regulator requires.

Auto-merge the safe stuff. Escalate the risky stuff. Roll back if it breaks.

Routine vendor API changes get fixed, tested, and merged without your engineer's involvement. Risky changes route for human review. Anything that breaks rolls back automatically.

Behavioral signals from every channel feeding one customer record

Web, mobile, in-store, call center, ads, email, SMS, and chat behavior collected into one unified customer record — every AI agent reads engagement signals at runtime.

Brand guideline change control with multi-stakeholder review

Every change to your brand guidelines becomes a reviewable proposal — corporate, franchisee council, legal, and compliance see the diff before it ships, and merged changes propagate to every AI agent automatically.

Brand voice consistency across every AI-generated output, at every location

Score every AI-generated output against your brand voice — auto-publish what is clearly on-brand, route the borderline cases to one batched review queue, send the rest back for a redraft.

Brand voice drift monitoring across every AI agent in your stack

Continuous monitoring of what your AI agents actually publish — drift gets caught before it becomes a pile of off-brand content.

Brand voice guidelines your AI can actually enforce — not just a wiki page

Author your brand voice as a structured spec your AI uses to check every output — with review across corporate, franchisee council, legal, and compliance.

Brand voice template from your actual content — not a one-off consulting deliverable

Extract a structured brand voice spec from your existing content plus a short conversation with the brand owner — the spec your AI uses to keep every output on-brand.

Catch vendor API changes before they break your locations

When a vendor in your marketing stack changes their API, the system writes the fix as a pull request and routes it for review before anything breaks.

Cheap regex checks that catch obvious AI content violations first

Deterministic regex, blocklist, and allowlist checks against your forbidden phrases, approved claims, and regulated-vertical rules — catches obvious violations before the more expensive AI compliance check runs.

Competitor mapping per location, fed straight into your content

Competitor density, drive-time overlap, and market-saturation scoring per location — feeding your content systems so each location page leads with the right differentiation for its actual market.

Confidence alone is not enough — AI decisions need to route on risk, scope, and claim type too

A high-confidence AI decision can still be high-risk. Routing across confidence, risk, scope, and claim dimensions catches what a single threshold would miss.

Content approval workflow that decides which AI outputs even need a human review

Auto-publish the AI-generated outputs that are clearly fine. Route the borderline ones to a single batched review queue. Send the off-brand ones back for a redraft. End the all-day Slack review thread.

Custom API integration that does not require a $50,000 one-off project

Pre-built adapters for the 30+ common source systems plus a streamlined custom path for the proprietary ones in your stack — maintained against vendor API drift automatically.

Customer changes that reach every system in real time, not nightly

When a customer's cohort, LTV, churn risk, loyalty tier, or subscription state changes, the right systems hear about it in seconds — not after the next nightly sync.

Customer cohorts every AI agent reads at runtime, not weekly

Cohorts like "high-LTV", "at-risk", and "lapsed" computed on your unified customer record and exposed as a real-time signal — so your save-flow, your email, your ads, and your loyalty program all act on the same up-to-date answer.

Customer LTV per location, per channel, per brand — at runtime

LTV cut by location, channel, brand, and cohort — historical and predictive — exposed as a real-time signal your save-flow, your ads, and your loyalty program can all act on.

Data reconciliation that knows which source to trust for which field

When your POS, Google Business Profile, Yext, HR, and CMS disagree about hours or services or manager bios, automatic reconciliation decides which one to trust — by rules you configure.

Data validation with maintained industry rule libraries — HIPAA, FDA, FINRA

Validate every location record against the rules that apply to your industry — HIPAA, ABV, FDA, FINRA — before it ever goes live downstream.

Decide what your AI does on its own — and what waits for a human

Set the autonomy level for every AI task in your marketing operation: fully automatic, automatic with borderline review, approval required, or manual only — with overrides per brand, per industry, and per state.

Demographic data per location, fed straight into your content systems

Census, ESRI Tapestry, Experian Mosaic, and foot-traffic data combined into one demographic profile per location — usable by your content systems without a marketing-research seat.

Every AI decision goes to the right reviewer — without anyone playing traffic cop

Five destinations — auto-publish, dev review, compliance review, brand review, escalate — and every AI decision picks the right one based on what it is and where it lands.

Every override your reviewer makes should make the AI smarter next time

The corrections your content reviewer makes every week should teach the AI assistants — not pile up in Slack and disappear.

Every team should see the alerts they need — not the firehose

Marketing-ops sees everything. Reviews-ops sees only reviews and Google Business. SEO-ops sees only rank and Google Business. Per location, per vertical, per banner — no firehose, no missed signal.

Find the root cause, not the loudest symptom

When alerts from Mixpanel, Klaviyo, Google Ads, Meta Ads, and Looker all fire in the same hour, this finds the cascade — and points your team at the actual root cause.

Forbidden phrases caught at every AI output — competitors, off-brand words, regulated claims

Catch competitor names, off-brand language, regulated claims, and deprecated terms at every AI output — pattern matching plus AI semantic detection across your whole content stack.

Know about a vendor change before it breaks something — not after

A single feed that watches every vendor in your marketing stack and surfaces only the changes that matter to your specific integrations.

Know which vendor API broke — before a campaign quietly stops working

Every vendor API your marketing stack depends on, monitored from the consumer side — so a Klaviyo outage or a Stripe webhook drop never quietly takes down a flow for three days.

Local events per location, fed straight into your content engine

Eventbrite, Meetup, Ticketmaster, city calendars, and chamber-of-commerce feeds combined into one event stream per location — feeding your social, local content, Google Business Profile, and email automatically.

Local news per location, filtered for relevance and fed to your content systems

NewsAPI, GNews, Google News, and regional newspaper RSS combined into one filtered news stream per location — with crisis detection built in.

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.

Marketing data anomaly coverage across the nine streams that actually matter

KPI, conversion, attribution, spend, engagement, review, rank, inventory, call — each one watched for real anomalies, with the right thresholds for marketing-not-IT data.

Marketing data integration for the actual multi-location operator stack

Pull data from POS, Google Business Profile, Yext, BrightLocal, HR, CMS, and CRM into one record per location — with the source-by-source schema differences handled for you.

Marketplace listings that pass every marketplace and regulator

Every listing checked against each marketplace's policy book — Amazon, Walmart, Target, Shopify, eBay, Etsy — plus your FDA, FTC, and FINRA rules before it publishes.

Never miss another vendor API sunset

Every vendor API in your stack gets a sunset countdown — with T-30, T-7, and T-1 day alerts plus auto-generated code fixes before the deprecation actually hits.

One alert per real problem, not five — across every tool you use

When the same incident sets off five different platforms, you get one consolidated alert with the linked sources, the severity, and a routing decision already attached.

One customer record across every device, channel, and location

The same customer on desktop Tuesday, in-app Wednesday, in-store Friday, and on the phone Saturday gets unified into one record — so cohort, LTV, and decisioning all see one person, not five.

One master record per location — reconciled across every source, propagated everywhere automatically

One trusted record per location, reconciled across POS, Google Business Profile, Yext, HR, and your CMS — and when anything changes, every marketing surface updates automatically.

Pick the right product attribute when your sources disagree

Per-attribute rules that decide which source wins when your POS, ERP, PIM, supplier feed, and marketplace listing disagree — so the same SKU shows the same price, claim, and image across every channel.

Pre-approved claims library that every AI output checks before it ships

A living library of the claims your legal team has approved, with the evidence attached — every AI-generated post, page, ad, and product description checks it before it publishes.

Pre-built compliance rule libraries for every regulated vertical

Pre-built starter libraries for FDA, FTC, FINRA, HIPAA, OSHA, and EU regulations — activate, customize for your business, and your AI agents enforce them at output time.

Product catalog changes that propagate to every channel in real time

Per-attribute catalog updates that fire the moment something changes — your product detail pages, your ads, and every marketplace get the new state in seconds, not 36 hours.

Product compliance checks across every state and regulated vertical

FDA, FTC, FINRA, OSHA, and Prop 65 rules applied to every product attribute — at ingest, at conflict resolution, and before anything ships to a channel.

Pull product data from every source into one unified catalog

Pre-built adapters for your ERP, POS, PIM, supplier portals, marketplace feeds, EDI, and DAM — pulling product data into one unified catalog without a $80,000 Solution Architect engagement.

Regulatory updates filtered to what affects your active rules

Monitors every regulator that matters to you — and only surfaces the updates that affect the rule libraries your AI agents are actually enforcing.

Schema.org ships 12 changes every quarter. Your SEO team should not be the early-warning system.

Continuous ingestion of every schema.org quarterly release, scored against your live templates and your business mix — with remediation PRs already drafted before the spec change starts breaking rich results.

Search trends per location, fed straight into your content engine

Daily search-interest data per location combined across Google Trends, SEMrush, Ahrefs, and Moz — with spike detection and automatic reactions in your content systems.

See the conversion drop, the review crisis, or the spend overrun before it lands

A 7-to-30-day forecast at every location across the marketing signals that actually move revenue — conversion, ad spend, rank, reviews, foot traffic, calls — so you act before the problem becomes a crisis.

Set the HIPAA gate once at corporate — it should apply to every brand and every location

Corporate rules inherit down to brands. Brand rules inherit down to their own locations. Locations can override where it makes sense. Set it once.

State-by-state compliance rules across every AI marketing agent

State-by-state rules layered on top of your regulatory rules — every AI agent gates content automatically based on where the customer lives or where the product is going.

Stop spending two hours every morning acknowledging false alarms

Your stack should learn what 'normal' looks like at each location — Black Friday, school holidays, seasonal swings — so the alerts that reach your team are the ones that actually matter.

Subscription data from every platform in one unified customer record

Subscription events from Stripe, Recharge, Bold, Chargebee, Recurly, Zuora, and Ordergroove flow into one customer record — so cross-platform subscribers count once and your AI agents read the same state in real time.

The compliance check that catches what regex cannot

Catches the subtle compliance violations regex cannot — structure-function vs disease-claim drift, comparative claim ambiguity, state-specific dosage language — across every AI content output.

Turn regulator PDFs into AI-enforceable compliance rules

AI-based parsing of FDA guidance, FTC actions rules, FINRA notices, EU directives, and your own policy docs into proposed rule updates your team reviews — with the source citation attached.

Weather-driven marketing reactions per location, automatically

When weather thresholds hit at any of your locations, your content, email, Google Business Profile, and paid creative all react automatically — heat wave, cold snap, precipitation, or seasonal shift.

When a recall hits, you have minutes — not weeks — to find every mention

A complete, time-stamped history of every product, every claim you have made about it, and every place that claim has appeared — searchable in seconds when a regulator or recall arrives.

When a regulator asks who approved the email blast, you should not spend six hours digging through Slack

Every marketing routing decision — who approved it, which rule fired, what thresholds applied, who overrode whom — captured with the timestamp, the actor, and the reason, ready for an FTC examiner or an internal auditor.

When a vendor API quietly changes shape, you should know in minutes — not days

Continuous response-shape sampling across every vendor API you connect — so the nullable field, the renamed key, and the type change that quietly broke your data show up in minutes, with a patch already on the way.

When your data changes, every marketing system reacts automatically

When operations changes data, marketing knows automatically — your website, Google Business Profile, Yext, email, ads, and social all react the moment the master record changes.

When your local markets change, your marketing reacts automatically

When local events, news, demographics, search trends, competitor density, or weather change in any of your markets, your content systems react automatically.

Your marketing-ops Slack gets 47 alerts before 8am. The HIPAA violation should not be the 38th.

Every marketing-ops alert classified sev1 through sev5 and routed to the right channel — page-on-call for record-loss critical, weekly digest for low-noise drift, with compliance violations always escalated.