From the source
From the source
Teams at large companies build working prototypes with AI every day. The ones worth keeping need to go to production. That takes access to real company data and sign-off from security on where the app runs and who can use it. Many of the enterprises we work with run a federated model. A central IT or AI team sets the guardrails once, like who can build and what needs approval before an app goes live. Teams in each function build inside those guardrails. IT can see everything they ship. Governed sprawl beats shadow sprawl. We built this month's releases for teams that work this way. Apps can run on sensitive data in your own cloud. Central teams can set up Lovable once for the whole company and decide what goes live. IT can manage all of it from the tools it already uses. Run your apps in your own AWS or Azure account Some apps can't go to production until they run inside your own network. An HR app that reads from your HR system is a common example. With Deploy on AWS and Deploy on Azure, Enterprise teams can run those apps and the data behind them in their own cloud account. Both are in private preview. People keep building in Lovable the same way they do today. …
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