The Challenge
A national telecommunications provider had committed $150M to a cloud migration initiative. Six months in, the program was stalling: teams were migrating applications that didn’t need to move, skipping ones that did, and the infrastructure architecture couldn’t support the AI workloads leadership had planned for Phase 2.
Our Approach
We deployed BenchMark to provide a rigorous, data-driven foundation for the migration program:
Tech Stack Assessment: Scored 340+ applications across AI-readiness, cloud compatibility, business criticality, and technical debt — replacing the subjective prioritization that had been driving decisions.
Model Benchmarking: Evaluated 6 AI model architectures against the telecom’s specific workloads — network anomaly detection, customer churn prediction, and capacity planning — to determine actual infrastructure requirements.
Infrastructure Blueprint: Generated a concrete infrastructure blueprint that right-sized compute, storage, and networking for both migration and future AI workloads, replacing the over-provisioned architecture that was burning budget.
The Results
- $45M saved in misallocated spend: Stopped unnecessary migrations and right-sized infrastructure provisioning.
- 340 applications scored and prioritized: Objective, data-driven migration sequencing replaced subjective prioritization.
- 60% faster migration execution: Clear priorities and right-sized infrastructure eliminated the false starts and rework that had plagued the first 6 months.
- AI-ready from day one: The new infrastructure blueprint natively supported the AI workloads planned for Phase 2, avoiding a costly re-architecture.