Governance cluster
Self-Hosted AI for Enterprise Applications
Self-hosted AI is not only about where the model runs. Once AI reads business data and calls tools, the application runtime that controls objects, permissions, approvals, and audit evidence becomes the critical boundary.
A self-hosted AI application platform lets enterprises run the governed business runtime in their own infrastructure. The model can be local or external, but data access, tools, workflow execution, and audit policy stay under enterprise control.
Why it matters now
- AI agents increasingly need access to sensitive customer, operational, and financial records.
- Regulated teams need evidence of who accessed what, which action ran, and which approval was required.
- Security teams need a clear place to enforce identity, network, key, and logging policies.
What the platform needs
- Run the business object layer, tool registry, approvals, and audit logs in controlled infrastructure.
- Connect external or local models through explicit policy rather than hardwired assumptions.
- Keep files, records, logs, and credentials aligned with existing enterprise controls.
- Give agents scoped tools instead of unrestricted administrator credentials.
Use cases
Deploy AI workflows around sensitive CRM, contract, HR, or operational data.
Let AI agents assist users without bypassing role-based access control.
Support regulated environments that need audit evidence and infrastructure control.
Reading path
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FAQ
Does self-hosted AI require a local model?
Not always. The first thing to control is often the application runtime: business objects, tools, approvals, permissions, and audit logs. Models may be local or external depending on policy.
Why does the runtime matter more than the chat interface?
The runtime decides which records can be read, which tools can run, which actions need approval, and what evidence is retained. A chat interface alone cannot enforce those rules reliably.
How should agents access business data in a self-hosted setup?
Agents should act on behalf of a user or governed service identity, inherit permission scope, call explicit tools, and write audit logs for every material action.