AI teams often wait on GPU quotas, networking exceptions, and one-off sandbox accounts. That friction pushes experiments into shadow IT—and security finds out last.
A strong internal platform offers approved templates: a GenAI sandbox with identity, logging, and spend caps; a training job pattern with shared storage; and a model promotion path into staging with evaluation evidence attached.
Keep one control plane. Reuse the same Terraform modules, GitOps repos, and observability stack the rest of engineering already uses. AI is a workload class, not a separate company.
When paved roads are clear, AI teams ship faster and platform teams sleep better. That is the outcome we aim for in AI landing-zone and platform engagements.