Service line
AI Enabled Cloud Migration
Migration projects historically lose months to manual discovery and dependency mapping. We use AI tooling to compress that phase, so engineering time goes into validating the move, not just inventorying what needs to move.
What makes this different from a standard migration
AI changes the economics of discovery and code transformation
The slowest part of any migration is rarely the cutover weekend. It is the months spent before that, manually tracing dependencies, reading undocumented configuration, and rewriting legacy code by hand. We apply AI assisted analysis to application portfolios and codebases to accelerate that discovery and transformation phase, while keeping a human engineer validating every recommendation before it touches production.
- Automated dependency mapping across applications and infrastructure
- AI assisted code transformation for re-platforming legacy applications
- Every recommendation reviewed by a senior engineer before execution
Scope of work
What this service line covers
| Capability | What it includes |
|---|---|
| Portfolio discovery | AI assisted scanning of applications, dependencies, and infrastructure to build a complete migration inventory in days rather than months. |
| Migration strategy and wave planning | Sequencing workloads by risk and business impact, choosing between rehost, replatform, and refactor approaches for each application. |
| Code transformation | AI assisted refactoring for legacy languages and frameworks, with generated code reviewed and validated by Aetherion engineers before deployment. |
| Data migration | Schema conversion, data validation, and synchronization strategies for moving databases with minimal downtime. |
| Cutover and validation | Rollback planning, parallel run testing, and performance validation before and after each migration wave. |
| Post migration optimization | Right-sizing newly migrated workloads and handing off a tuned environment to Cloud Operations or Managed Services. |
Engagement models
Three ways to bring us in
Discovery and roadmap
AI assisted portfolio analysis and a wave plan delivered in two to four weeks, usable with or without Aetherion executing the migration.
Full migration program
End to end execution from wave planning through cutover, with Aetherion engineers owning the timeline and validation at each stage.
Code transformation only
A focused engagement to modernize a specific legacy codebase ahead of a migration your internal team is otherwise leading.