Amazon Web Services Transform: A New Era of AI-Driven Migration and Application Modernization

Technical debt is no longer just a development inefficiency—it is a measurable constraint on enterprise growth. Industry research shows that a significant share of IT budgets is spent maintaining legacy systems rather than enabling innovation. Developers routinely lose productive time addressing outdated frameworks, unsupported runtimes, and inefficient architectures.

The financial impact is substantial. Technical debt costs organizations trillions globally and consumes up to 30% of development capacity. Reducing this burden directly translates into faster delivery cycles, improved operational efficiency, and increased competitive advantage.

Modernization at scale, however, has historically been complex, slow, and resource-intensive. AWS Transform changes that equation.

What Is AWS Transform?

AWS Transform is the first agentic AI-powered service designed to accelerate enterprise migration and modernization initiatives at scale. Built on nearly two decades of AWS cloud transformation expertise, it applies AI to automate complex modernization workflows with high accuracy and consistency. AWS Transform supports:

• Full-stack Windows modernization
• Mainframe modernization
• VMware migration
• Custom code, API, and framework transformations

Since its general availability in May 2025, organizations have used AWS Transform to analyze billions of lines of code and save hundreds of thousands of manual engineering hours.

As an official AWS Partner, Softprom enables enterprises to assess, implement, and operationalize AWS Transform within broader cloud migration and modernization strategies.

Full-Stack Windows Modernization — Up to 5x Faster

Modernizing Windows workloads requires more than updating application code. It involves interconnected layers including:

• Legacy .NET Framework applications
• Outdated UI frameworks
• SQL Server databases
• Deployment and DevOps processes

AWS Transform provides AI-driven agents capable of modernizing the entire stack, including:

• Migrating SQL Server to Amazon Aurora PostgreSQL
• Upgrading .NET Framework to .NET 8
• Refactoring legacy UI components
• Optimizing deployment pipelines

Organizations report:

• Up to 5x faster transformation cycles
• Up to 70% reduction in operating costs through license elimination
• Improved performance, security, and maintainability

Softprom supports customers in planning modernization roadmaps, selecting appropriate AWS services, and aligning transformations with business objectives.

Custom Code Modernization: Transform Any-to-Any

Technical debt often accumulates through repetitive, manual updates—runtime upgrades, patching, version migrations, and architectural adjustments. AWS Transform Custom introduces a first-of-its-kind agentic AI capability that automates large-scale, organization-wide code transformations, including:

• Java, Node.js, and Python version upgrades
• Runtime migrations
• Language translations
• API refactoring
• Architectural redesign

The AI agent continuously improves through learning from documentation, code samples, and developer feedback, enabling consistent modernization across hundreds of applications simultaneously.

For enterprises managing thousands of workloads, this capability dramatically reduces execution time—often by more than 80%.

Mainframe Modernization: From Years to Months

Mainframe transformation has traditionally been a multi-year initiative due to:

• Complex, undocumented business logic
• High testing overhead
• Institutional knowledge constraints

AWS Transform for mainframe applies AI-driven analysis to:

• Extract business logic
• Generate documentation
• Support application decomposition
• Automate test planning and test case generation
• Enable continuous validation and regression testing

Organizations have significantly reduced testing time while increasing test coverage and lowering migration risk.

Softprom assists customers in evaluating mainframe modernization strategies, defining target architectures on AWS, and ensuring governance and compliance alignment throughout the transition.

VMware Migration Simplified with Agentic AI

Migrating VMware environments to AWS often requires manual discovery, planning, dependency mapping, and network reconfiguration.

AWS Transform for VMware introduces an AI migration agent that:

• Aggregates discovery data from multiple tools
• Analyzes infrastructure and dependencies
• Generates migration waves based on business priorities
• Supports network redesign and multi-account deployment
• Produces documentation for governance and approvals

Organizations report:

• 10x faster migration wave planning
• Significant reductions in operational costs
• Accelerated discovery and execution phases

Softprom provides architectural guidance, cost modeling, and migration execution support to ensure VMware transitions are optimized and aligned with AWS best practices.

Partner Ecosystem and Industry Expertise

Certain industries—such as financial services, healthcare, and telecommunications—require domain-specific transformation approaches.

AWS Transform supports composable integrations with global consulting and technology partners, allowing industry-specific workflows, compliance knowledge bases, and tailored automation agents.

As an AWS Partner, Softprom combines AWS Transform capabilities with regional market expertise, regulatory understanding, and enterprise IT experience to deliver transformation programs tailored to customer requirements.

Take Action on Technical Debt Today

The cost of delaying modernization continues to grow. Technical debt drains budgets, slows innovation, and increases operational risk.

AWS Transform introduces a fundamentally new model—agentic AI-driven modernization that enables:

• Faster migration cycles
• Significant cost reduction
• Improved code quality and security
• Scalable, repeatable enterprise transformation

With AWS technology and Softprom’s cloud advisory and implementation expertise, organizations can modernize confidently and redirect resources from maintenance to innovation.