We run it for you
The version the retailer above runs: your business in a dedicated environment on our infrastructure. You get the approval feed and the authority; the platform gets the chores. The owner’s page →
No diagrams-first explanation. One real company, what deployment looked like, and what the agents actually do all day.
A multi-location retailer: several stores, a warehouse, delivery, and an online storefront — all selling from the same inventory. The usual version of this business runs on five apps taped together and one owner acting as the tape. On Turbine it is one system: the stores, the website, the registers, and the stock all see the same truth, at the same moment.
Over that one system runs a layer of agents — think of them as staff that never clock out. A support agent answers customers on the website. An inventory agent watches every shelf in every store. A campaigns agent notices what is selling and drafts the promotion. None of them ask for permission to work — only for permission to act on anything that matters.
Customers ask the website and get answers from live truth. Staff see their own queue and their own registers — not the whole machine. You see decisions and the rules. Your developers — or their coding agents — get a clean, permissioned way to build on top. Even the agents themselves work through the same kind of scoped door, under the rules you set. Nobody, human or agent, can reach past their lane.
Overnight the layer counted stock, flagged two products running low at one location, drafted the transfer from the warehouse, and prepared a price change on a slow seller. Each one is waiting with the numbers attached. Approving all of it takes less time than reading this page.
Someone on the website asks whether a product is in stock at the closest location and whether it ships. The support agent answers from live inventory, correctly, in seconds — and the conversation is on the record in the morning.
An agent proposes a markdown on a product that was actually selling fine. It was caught at the approval step — declined in one tap, and the record shows exactly why it was proposed. Mistakes happen; on Turbine they ask first and are written down.
This case is retail, so its layer watches shelves and storefronts. If you run clinics, the layer watches schedules and intake. If you run a wholesale operation, it watches orders and invoices. The nouns change; the shape does not: one system holding the truth, agents doing the day-to-day on top of it, and every decision that matters coming to you — with evidence.
Everything above — the layer, the approvals, the record — works identically in each. What changes is where the machine lives and whose name is on it.
The version the retailer above runs: your business in a dedicated environment on our infrastructure. You get the approval feed and the authority; the platform gets the chores. The owner’s page →
Same layer, same morning feed — but the machine runs on hardware you control, and the AI models run there too. Nothing leaves. When your auditor asks what the AI did in March, you hand them the record. Ten minutes, not a discovery process. The security page →
You serve clients of your own? A new client is one call: a fresh environment with their name on it in under a minute, your brand on every screen, your agents shipping their product through the same gates. Your clients never see us. The partner page →
The platform migrated the catalog, inventory, and customer history itself. The stores kept selling while it happened. The cutover was a decision, not a weekend — and from the first action onward, everything the system did was on the record. For what the honest weeks after looked like, including what broke: read the dispatch →
Turbine onboards a limited number of businesses each quarter.