New perspective · 14 Sep 2026Why AI agents stall after the pilot — and what production actually requires→
Optivaco
Capabilities / Technology / Cloud & Infrastructure Modernization

Cloud & Infrastructure Modernization

Cloud foundations sized for AI workloads, with cost and reliability under control.

01 — The problem

AI inherits the limits of the infrastructure beneath it. Capacity, networking, identity, and cost controls built for yesterday’s workloads become tomorrow’s blockers.

Stalled migrationsThe easy workloads moved years ago. The ones that matter are still waiting.
Rising spendCloud bills grow faster than usage, and nobody owns the difference.
Manual operationsEnvironments are built by hand and behave differently every time.
02 — What we deliver

What we deliver.

01Landing zonesSecure, repeatable foundations on AWS, Microsoft Azure, and Google Cloud.
02Migration factoryA planned, measured path for the workloads that still run on-premises.
03Platform engineeringInternal platforms and paved roads that let teams ship without tickets.
04Infrastructure as codeEnvironments defined, reviewed, and deployed like software.
05FinOpsVisibility, accountability, and guardrails for cloud and AI spend.
06Reliability engineeringService-level objectives, observability, and incident practice.
03 — Engagement model
01AssessAI readiness assessment and a prioritized value case
02ArchitectReference architecture, data plan, and governance design
03BuildProduction-grade agents, applications, and platforms
04StaffVetted AI and engineering talent or managed delivery pods
05ScaleOperating model, AI Center of Excellence, and run support
06 — FAQ

We are model- and cloud-agnostic. Most programs run on Azure, AWS, or Google Cloud with OpenAI, Anthropic Claude, or Microsoft Copilot models, selected per use case on cost, latency, and risk.

Cloud & Infrastructure Modernization

Build the foundation your AI roadmap assumes.

Tell us which workloads are holding the rest back.