AI Powered Multi Cloud FinOps & Intent Based Infrastructure Provisioning

Capability 2 — AI-Powered Multi-Cloud FinOps & Intent-Based Infrastructure Provisioning

• Engineers could describe infrastructure requirements in natural language.

• Example:

  • Required workload capacity.
  • Availability requirements.
  • Security requirements.
  • Data residency.
  • Expected traffic.
  • Cost constraints.

• AI interpreted the business/technical intent.

• Evaluated infrastructure options across:

  • AWS
  • Azure
  • GCP

• Considered:

  • Performance
  • Availability
  • Security
  • Compliance
  • Data residency
  • Cloud-service availability
  • Cost

• AI translated the approved intent into Terraform workflows.

• Used reusable and governed Terraform modules rather than generating completely uncontrolled infrastructure.

• Policy checks were applied before execution.

• GitOps controlled deployment.

• FinOps was incorporated into architectural decisions rather than treated as an afterthought.

• Could evaluate cost vs. architectural requirements before provisioning.

• Result:

  • Approximately 45% reduction in infrastructure provisioning time.