AI Agents Provisioning Infrastructure: Which Platforms Actually Give You Audit Trails, Policy Enforcement and Budget Guardrails?

AI-driven infrastructure provisioning requires four governance controls: attributable audit trails, policy-as-code evaluated before changes are applied, preemptive budget or quota limits, and human approval for high-risk or irreversible actions. The comparison identifies Spacelift, HashiCorp Terraform Cloud/Enterprise with Sentinel, and Pulumi with CrossGuard as strong options for agents producing infrastructure-as-code, while positioning Qovery as an application and environment-layer platform using OPA-backed API tokens, environment RBAC, audit logs, and lifecycle-based cost controls in customer-owned cloud accounts. Open Policy Agent is presented as a widely adopted policy engine rather than a complete governance solution because it does not independently provide identity management, auditing, cost estimation, approvals, or enforcement against bypass paths. Cloud-native controls such as AWS SCPs, Azure Policy, and GCP Organization Policy are characterized as essential hard backstops but not substitutes for developer-facing workflow approvals. The recommended architecture gives agents distinct, short-lived, least-privilege platform credentials instead of cloud administrator access, routes all actions through policy, cost, approval, and logging checkpoints, and reserves human review for production, IAM, networking, stateful data, and spending above defined thresholds.

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