Controlled AI instead of an open, public AI.
A public AI answers questions the same way for everyone, without regard for your internal access rules. Private AI at KAI means: your company knowledge stays bound to clear rules – who may access it, which AI provider processes requests, and which automated actions may run without or only with human approval.
The control points of Private AI at KAI.
Choice of AI provider
Which external or cloud-based AI provider processes requests can be set in the settings, instead of being locked into one provider.
Your own infrastructure
KAI supports an installation that is connected to your own infrastructure instead of processing data exclusively centrally.
Department boundaries
Knowledge and access can be assigned to departments, so answers are only generated from the sources accessible in each case.
Governance
Policies for AI and data usage together with an activity/audit log create traceability instead of a black box.
Approvals
Automated actions by AI agents can be tied to human approval before they are executed.
Knowledge sources
Files, shared folders and notes are connected in a controlled way instead of scattering knowledge without oversight.
What we deliberately do not promise.
We avoid sweeping statements such as guaranteed full legal compliance or absolute data sovereignty, because such statements depend on individual use, configuration and contractual arrangements. Instead, we describe concretely which control mechanisms KAI offers – access control, provider choice, governance policies and approvals – and let you decide how to use them for your requirements.
Private AI sets the framework – RAG delivers the knowledge within it.
Private AI at KAI defines who may access which knowledge and which provider processes a request. How KAI finds this knowledge and turns it into a source-grounded answer is described on our RAG page. Which rules, approvals and logs apply overall – including for AI agents – is described on our governance page.
Private AI at KAI in detail.
What exactly does Private AI mean at KAI?
Access control, selectable AI providers, clear department boundaries and approvals for automated actions – instead of letting an uncontrolled, public AI loose on your company knowledge.
Can KAI run on our own infrastructure?
KAI supports an installation that is connected to a customer's infrastructure instead of processing data exclusively through a central cloud service. The exact setup depends on the respective environment.
Is KAI automatically GDPR compliant?
KAI provides building blocks such as access control, governance policies and selectable processing locations. We cannot make a blanket legal compliance statement – that depends on your individual use and contractual arrangements.
Can I choose the AI provider myself?
Yes. The settings let you define which external or cloud-based AI provider processes requests, instead of being locked into a single provider.
Talk to us about your requirements for control and infrastructure.
We will show you which control mechanisms fit your use case.