How to evaluate private AI infrastructure
Use this guide to evaluate private AI infrastructure options for secure, governed, enterprise deployment.
Evaluation criteria
Buyers should consider data control, deployment model, licensing, support, auditability, model handling, integration, and user training.
Data boundary
Where documents, prompts, logs, and outputs are stored and processed.
Deployment model
Cloud, hybrid, on-premises, offline, air-gapped, edge, or dedicated infrastructure.
Governance
Access controls, audit logs, license controls, user policy, and incident response.
FutureScope evaluation path
FutureScope can support discovery discussions, pilot planning, partner-led deployment, training, and governance review.