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Private AI · OperationsProposed architecture

Planning private AI across manufacturing systems

A private architecture for connecting enterprise systems while keeping workloads within the manufacturer's control.

DeploymentOn-premise GPUs or private cloud

The problem

What needed to change

A multi-plant manufacturer needs useful AI across legacy and enterprise systems without sending sensitive data to external AI services.

Scope

Proposed architecture

This is a proposal, not a deployed system.

  • System and data inventory
  • Private deployment architecture
  • Role-aware agent workflows across operations
Agents and workflows

AI workflows in the plan

  • Operations agent family
  • Document and knowledge agents
  • Management reporting agent
Reliability

Planned trust controls

  • Identity-driven data access
  • Audit trail for agent actions
  • External AI services excluded where required by the architecture
Outcomes

Proposed architecture. Delivery outcomes depend on scope, permissions, and infrastructure decisions.