What would make you move production agent workloads from pay per-token APIs to dedicated inference?

My team and I are building dedicated inference infrastructure for series A+ startups and enterprises running long-horizon coding, research, and internal-workflow agents. The core offer is private capacity with a predictable one fixed monthly bill with minimum one year commitment rather than variable token billing and poor performance. We’re validating the requirements for production adoption. Beyond basic security, what would be non-negotiable for you? • Tenant/network isolation and data-retention guarantees • Context length, concurrency, and throughput commitments • Auditability, SSO/RBAC, ob