Migration and Modernization Accelerator

Most migrations get workloads to AWS. Few get the business the outcomes it paid for. Lift-and-shift moves the servers. It doesn't modernize the data, it doesn't retire the legacy costs, and it doesn't prepare your operations team for running cloud-native workloads at scale. CloudAI's Migration and Modernization Accelerator is a structured, end-to-end program that takes portfolios from current-state assessment through cutover, refactoring, data modernization, and Day-2 operations — so workloads don't just move to AWS, they perform on AWS.

Accelerate cloud adoption with a program designed for mid-market and enterprise portfolios in public sector, higher education, healthcare, and financial services. CloudAI performs portfolio and dependency assessment, designs landing zone and governance, and builds a wave plan for migration, refactoring, and data modernization that accounts for procurement cycles, compliance mandates, grant funding, and legacy systems your team can't simply containerize and forget. We enable secure hybrid connectivity, automated deployment patterns, and Day-2 operations so workloads run reliably after cutover and your teams are set up for continuous improvement. Eligible engagements align to the AWS Migration Acceleration Program (MAP) for co-invested funding.

Learn more about our full portfolio of cloud solutions at https://cloudaillc.com/solutions/cloud-engineering .

CloudAI Migration and Modernization Accelerator services include, but are not limited to:

• Portfolio and dependency assessment using AWS Application Discovery Service, AWS Migration Hub, and CloudAI's discovery playbooks — with application rationalization across the 7 Rs (retire, retain, relocate, rehost, replatform, refactor, repurchase)
• Wave planning and TCO modeling for migration sequencing, business cutover windows, risk prioritization, and funding alignment
• Landing zone and governance design on AWS Control Tower and Landing Zone Accelerator as the receiving environment for migration waves
• Migration execution using AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync, and AWS Transfer Family — with automated deployment patterns codified as Infrastructure as Code
• Secure hybrid connectivity during and after migration via AWS Direct Connect, AWS Site-to-Site VPN, AWS Transit Gateway, and AWS Cloud WAN
• Modernization and refactoring — containerization on Amazon EKS and AWS Fargate, serverless on AWS Lambda, managed databases on Amazon RDS and Aurora, and Windows/.NET modernization on AWS
• Data modernization with AWS Lake Formation, Amazon S3, AWS Glue, Amazon Redshift, Amazon DataZone, and Amazon SageMaker for analytics and AI-ready data platforms
• Mainframe and legacy modernization including AWS Mainframe Modernization, database re-platforming off Oracle and SQL Server, and SAP on AWS
• Day-2 operations enablement — monitoring, observability, FinOps, runbooks, site reliability practices, and knowledge transfer so your operations team owns the environment after handover

Every engagement is staffed by a senior AWS-certified migration lead with deep vertical experience, a named Engagement Lead, and a documented handover to your operations team.