Approved sources
Policies, procedures, client documents, email extracts, and knowledge bases selected for safe use.
Private AI Stack
Controlled AI for sensitive Isle of Man workflows.
A Private AI Stack is not a hardware package. It is a controlled environment for using AI with sensitive documents, internal knowledge, permissions, review, and audit logs.
Architecture
The product is control, not the box it runs on.
Hardware may be part of the answer, but only after the business problem, data sensitivity, retrieval needs, and operating model are clear.
Private retrieval
Controlled model access
Workflow tooling
Audit logs
Optional local infrastructure
What it includes
Permission-aware retrieval
Search and context retrieval designed around what users should be allowed to see.
Controlled model access
Local, private cloud, or hybrid model routing depending on sensitivity, capability, and performance.
Human review
Drafting, summarisation, classification, and routing with review standards for sensitive work.
Auditability
Logs, escalation points, ownership, and governance notes so AI use is visible rather than informal.
What it is for
Sensitive document search, compliance support, confidential client operations, and internal knowledge workflows where public-tool use is uncomfortable.
What it is not
It is not a generic server sale, a claim that local models are always better, or a way to avoid governance and human review.
How to start
Begin with a Fit Check and one sensitive workflow. The stack should be designed around actual operating needs, not assumptions.
Next step
Need AI without losing control of sensitive work?
Bring one sensitive workflow and the constraints around data, access, review, and audit. The first conversation should clarify whether a private stack is justified.