AI-accelerated cloud migration combines proven cloud migration practice – assessment, planning, migration, and optimization – with AI-assisted analysis that speeds up discovery, dependency mapping, and decision-making, while engineers remain accountable for migration and production decisions.

GEM supports migration to and across major cloud providers, recommending the platform or multi-cloud approach that best fits your workloads, cost model, and compliance requirements.

GEM evaluates each workload against recognized migration strategies – such as the commonly referenced “6 Rs” (rehost, replatform, refactor, re-architect, retire, retain) – adapted to your application portfolio and business priorities.

GEM implements access controls, encryption, and compliance checks throughout the migration process, designed in from the assessment phase rather than reviewed only after migration.

GEM defines success metrics during Assess & Prioritize, such as infrastructure cost reduction, reliability, and performance, and measures results against a pre-agreed business case.

GEM applies continuous cost optimization practices – rightsizing, usage analysis, and governance – informed by recognized cloud financial management principles, so cost stays predictable as usage evolves.

Yes. GEM assesses legacy and customized applications individually and recommends rehosting, replatforming, or re-architecting based on technical feasibility and business value.

Yes. GEM provides post-migration support, monitoring, and continuous optimization to keep the cloud environment efficient, secure, and aligned with business objectives.

Yes. AI-assisted discovery and analysis can accelerate assessment even for smaller estates, though the relative time savings are typically greatest for large, complex application portfolios.