Most mid-size and enterprise teams land on a hybrid model: internal IT keeps ownership of strategy and vendor relationships, while a managed partner covers 24/7 monitoring, patching, and incident response that's expensive to staff in-house. We fit the split to your team's size and existing skills rather than pushing a one-size answer.

No. Migration is the starting point, not the finish line. We also secure, monitor, and manage the environment after migration so the foundation stays reliable long after workloads move - that's where most of the value compounds over time.

No. Infrastructure decisions determine whether orders, commerce, security, and future AI initiatives hold up under load, so the work spans IT, security, operations, and leadership - not IT alone - and is measured against business outcomes, not just uptime.

Test it: is your data centralized and access-controlled, or scattered across systems with inconsistent permissions? AI workloads need scalable compute, unified data, and tight identity controls, and a large share of AI security incidents trace back to missing or inadequate access controls, so gaps here carry real risk, not just inconvenience.

You don't need to start over. We assess the current environment first, then improve or migrate it with business continuity in mind, through a phased, tested, and reversible approach rather than a risky all-at-once switch.

It depends on scope, but the cost drivers are consistent: the size of your environment, how many systems need integrating, the migration workload, and the level of ongoing managed monitoring you want. We scope this in the initial assessment and price migration separately from the monthly managed service, so you see exactly what you're paying for at each stage.

There's no single winner; the right provider depends on your existing stack, compliance requirements, team's existing skills, and budget. AWS offers the broadest service catalog, Azure integrates tightly with Microsoft-based environments, and Google Cloud tends to suit data- and AI-heavy workloads. We recommend a provider after the assessment, based on your environment, not on which one we prefer to build on.

Most enterprise migrations run three to nine months depending on workload count, data volume, and integration complexity, and we deliver them in phases rather than one big-bang cutover. The phased approach protects business continuity while you switch, so the current environment keeps running until the new one is proven.