Three production deployments on the BlueGreen platform — a B2C tenant storefront, the corporate site you are reading, and the governed automation host that runs them. Real systems, real operating changes, no invented numbers.
Tenant storefront launch · B2C
Elgati Atelier: a full B2C storefront on the multi-tenant spine
Elgati Atelier runs its artisanal accessories storefront — catalogue, collections, gallery, journal and concierge support — as a tenant on the BlueGreen platform, sharing the same governed core as this site.
The starting point
A boutique brand needed a storefront that felt bespoke — editorial imagery, collections, artisan storytelling — without a bespoke maintenance bill. The options were a generic template that flattened the brand or a custom build that would need constant developer attention.
What was deployed
A tenant storefront on the BlueGreen multi-tenant platform: catalogue and collections served from the shared product-data spine, a visual gallery, an editorial blog backed by the same DynamoDB content engine that powers this site, tenant-scoped theme tokens for sovereign branding, and a RAG-based concierge chat grounded in Elgati’s own catalogue and policies — answering product questions without ever inventing items.
How it runs
The storefront is served through the same CloudFront edge and AWS Sydney infrastructure as the corporate site, with per-tenant isolation: Elgati’s data, media and configuration never touch another tenant. Catalogue updates flow through governed workflows, so a pricing or content change is checked and attributable rather than hand-edited in production.
What it proves
A single senior operator can run a polished B2C storefront end-to-end — catalogue, content, support drafting — because the operating layer does the heavy lifting. And every new tenant (like Elgati) strengthens the same spine that B2B customers buy: this is the tenant flywheel in action.
BlueGreen Systems on BlueGreen: the corporate site and blog engine
The site you are reading — thirteen-plus marketing routes, a DynamoDB-backed blog with named authors, search, glossary and resource hubs — is itself a production deployment of the platform, operated with the same governance we sell.
The starting point
Our own marketing surface had the classic symptoms we diagnose in merchants: content-thin pages, a blog that rendered client-side (invisible to crawlers), no measurement, and per-page metadata that had drifted. If the platform is the cure, the platform’s own site must show it.
What was deployed
Server-rendered marketing pages with per-page metadata, canonical URLs and trailing-slash consistency; the blog engine moved to true SSR so articles render complete in server HTML for search and AI crawlers; structured data (Organization, WebSite with a working SearchAction, Service, SoftwareApplication, FAQPage and BreadcrumbList graphs) emitted from one typed builder; an auto-generated llms.txt and RSS feed as machine-readable entry points; and on-site search over the page registry.
How it runs
Every page is ISR-refreshed and served from the edge; the audit scripts that verify titles, canonicals, schema and robots policy run in CI — the same live-audit tooling we hand to customers. Search Console and Bing submission is automated, and the sitemap carries real content dates rather than build stamps.
What it proves
The SEO/AEO/GEO machinery a merchant needs — SSR content, schema, AI-crawler policy, measurement-ready structure — is not a consulting engagement; it is what the platform emits by default. We fixed our own site with the product, and this page set is the evidence.
Governed automation in production: the Commerce Command lanes
The Commerce Command automation host — running commerce, shelf-check and stack lanes with approval gates, audit trails and tenant-scoped access — operates live workloads for real storefronts today.
The starting point
Multi-storefront operations meant context switching: catalogue checks in one tool, support in another, content in a third — with no shared audit trail and no consistent answer to “who changed what, and why”.
What was deployed
The Command Centre console with three lanes — Commerce Command (orchestration), ShelfCheck (product content assurance) and Commerce Stack (stack health) — fronting governed workflows: catalogue synchronisation across tenants, content auditing with drafted corrections, and support drafting grounded in catalogue and order context, each behind risk-based approval gates.
How it runs
Operators work one console: monitoring agent activity, approving queued high-risk actions with evidence attached, and drilling from a fleet-level view into any single tenant. The audit trail records every action per tenant, and AI usage runs under cost guardrails with telemetry — the Glass Wall Protocol applied to our own operations.
What it proves
Governed automation survives contact with real operations. The same lanes, gates and audit model that run our workloads are what enterprises buy — and because we operate them ourselves, the answer to “how does this behave at 2am” is first-hand.
One spine and one governance model. Every deployment — B2C storefront, corporate site, automation host — reads the same authoritative product-data layer and records every action through the same approval gates and audit trail. That consistency is the platform: add a surface, inherit the controls.
How we report outcomes
Our standing policy (T13.5 in the public plan): no fake reviews, no invented metrics, no unverifiable claims. When we report results for an engagement, we agree the baseline and measurement method first — typically GSC/Bing data for search outcomes, platform telemetry for operating outcomes — so the numbers can be checked by the customer, not just quoted by us. If a workflow should stay manual, the case study says so.
How do you measure whether a deployment worked?
Baselines first: before any workflow switches on we record the current numbers — catalogue error rates by channel, search zero-result rates, support handle time, tool spend, and search-engine coverage for content changes. Then the same instruments run weekly, so improvement claims come from your own telemetry rather than our slide deck.
For content and search surfaces the instrumentation is largely automated: this site itself ships with a live audit that re-checks titles, canonicals, schema, robots policy and server rendering on a schedule, and Search Console data flows into weekly CSVs. The same machinery runs for customer storefronts — which is itself a small case study: the marketing site you are reading is the pilot deployment of the measurement stack tenants get.
For operating workflows, measurement is a design decision at rollout: the approval queue and audit trail already record what the automation proposed, what humans changed and what shipped. Weekly operating reviews read the same data your team works in — no separate reporting layer to build or distrust.
Can we speak to a reference customer?
For qualified opportunities, yes — we arrange reference calls appropriate to your vertical and use case. What you can already verify without us: the Elgati storefront is live and public, and this site plus the blog engine is a full platform deployment you can audit with browser dev tools.
We are deliberate about references: we ask customers before sharing names, and we prefer showing you the closest live deployment instead. Judge the platform on what is running today, not on a logo wall.
Frequently asked questions
Are these real case studies?
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Yes — every deployment described here is live and verifiable: the Elgati Atelier storefront, this corporate site and blog engine, and the Commerce Command automation host. We describe scope and operating model honestly, and we do not publish invented revenue figures.
Why don’t you publish percentage-lift metrics?
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Because numbers without methodology are marketing, not evidence. We agree measurement plans per engagement and report outcomes against baselines our customers can verify. What we will always show is the operating change: what runs governed, what it replaced, and who approved what.
Can I see a deployment like mine?
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Book the 25-minute demo and tell us your vertical — caravan & RV, university, D2C or marketplace. We will walk the deployment closest to your situation and name exactly what differs for your case.
Book a 25-minute demo. Tell us your vertical and your loudest operational headache — we will show the closest live deployment and an honest read on effort and payback.
