Private AI
The approved model and workflow run onsite without sending that task to a public AI model provider.
Private AI
Your business. Your data. Your AI.
Approved workflows can process sensitive information onsite without sending it to a public AI model provider. Glivent manages the working system around that capability, with explicit decisions about processing location, data flow, retention, and any approved cloud use.
Discuss a private workflowBusiness information
Onsite processingApproved local workflow
Approved output
Optional cloud capabilityUsed only when approved and better suited to the task.
In simple terms
More control over where approved work is processed.
For a suitable workflow, onsite processing can reduce unnecessary exposure to public AI providers and make the processing boundary easier to define. Staff still use a simple, supported interface; Glivent manages the system behind it.
Private AI does not guarantee complete security or compliance. Access, backups, updates, retention, and the surrounding business systems still need deliberate controls.
Private-first, not private at all costs
Hybrid is a deliberate policy, not an invisible fallback.
Cloud
An approved provider is used where onsite infrastructure adds no meaningful value or the task needs a cloud capability.
Hybrid
Each workflow has an explicit rule for local processing and any permitted cloud step.
When Private AI makes sense
Use it when local control solves a real business problem.
- The workflow handles sensitive or controlled information.
- Processing location matters to the organisation or its clients.
- The task is repeatable enough to test and govern.
- The business values predictable infrastructure and ongoing support.
A practical first step
Find out whether private AI is useful for your workflow.
We review how work moves across the business, identify the strongest opportunities, and recommend a practical place to start.
Request an operational review