Guide
Self-hosting enterprise AI: control, compliance, and data residency
Self-hosting enterprise AI means running the AI platform inside infrastructure you control, your own cloud account or data centre, so prompts, files and data never leave your environment. Enterprises choose it to keep sensitive data under their governance, meet data residency and compliance obligations, and protect intellectual property.
What self-hosting means
With a self-hosted deployment, the application, its models and its data stores all live within boundaries you own and operate. Instead of sending requests to a third-party service, your teams interact with an instance you can place inside a virtual private cloud or an on-premises data centre.
That distinction matters because it changes who can see your data, where it physically resides, and which rules govern it. Self-hosting puts those answers firmly in your hands.
Why enterprises self-host
Data residency. Many organisations must keep data within a specific country or region. Self-hosting lets you pin the deployment to the jurisdictions your policies and regulators require.
Compliance. Self-hosting makes it easier to satisfy frameworks that demand strict control over data handling, because the processing happens inside infrastructure you already audit and certify.
IP protection. Proprietary code, designs and documents stay inside your environment. They are never used to train external models and are never exposed to outside parties.
Network isolation. You can run the platform inside private networks with no public egress, connecting it only to the internal systems you choose.
What to evaluate
When assessing a self-hosting option, look at where it can run, how it integrates with the systems your teams already use, and how you keep it governed at scale. Confirm that the full platform, not just a thin client, can be deployed in your environment, and that you retain the ability to customise it.
Also weigh the governance controls on offer: identity, access, content guardrails and audit visibility all need to hold up under enterprise scrutiny.
How ChatLite supports self-hosting
The entire ChatLite platform can be deployed in your own cloud or data centre, so prompts, files and data never leave your environment. You get a complete AI workspace under your own control rather than a connection to someone else's service.
ChatLite remains fully customisable in a self-hosted deployment. It can connect to internal systems, data feeds and custom agents, so it fits the workflows and knowledge your teams already rely on.
Governance is built in through SSO, role-based access control, guardrails and audit logs, giving administrators clear oversight of who can do what and a record of how the platform is used.
Learn more about deployment and controls on the enterprise and security pages.