Experience AWS Transform through interactive demos

Large-scale migrations and modernizations are among the most complex programs an IT organization undertakes. Teams spend weeks building spreadsheets to catalog servers, months writing business cases to justify the move, and years executing migration waves while keeping production systems running. At every stage, the challenge is the same: too much manual work, too many handoffs, and too little visibility into what comes next.

AWS Transform addresses this by using agentic AI to automate and accelerate each phase of the journey – from discovering your environment through executing migrations and modernizing legacy applications. Instead of prescriptive runbooks and manual orchestration, you describe what you want in natural language, and AWS Transform plans, executes, and validates the work with human-in-the-loop checkpoints where they matter.

Interactive demos

We have assembled interactive demos that walk you through the actual AWS Transform console experience step by step. Each demo is a guided walkthrough with no AWS account required, no environment to configure, no cost. You can explore at your own pace and focus on the capabilities most relevant to your project.

The demos are organized to follow the natural progression of a cloud transformation journey:

• Discovery and Assessment — Understand what you have and build the business case.
• Migration — Set up your environment, plan your waves, and execute the move.
• Modernization — Transform legacy applications to reduce licensing costs and unlock cloud-native benefits.

Within each section, demos progress from foundational concepts to advanced capabilities, so you can start at the top and go as deep as your project requires. Whether you are a Solutions Architect evaluating the service for a customer engagement, a Migration Lead building an execution plan, or a CTO assessing the art of the possible, there is a demo here that maps to your immediate question.

Where to Start

Evaluating AWS Transform for the first time? Start with the AWS Transform Intro. In a few minutes, you will understand the conversational interface, how jobs are structured, and how agentic AI fits into each phase.

Building a migration business case? Jump to the Discovery and Assessment section for the Discovery Tool and Assessment demos that show how raw inventory data becomes executive-ready TCO analyses in minutes.

Planning or executing a migration? The Migration section walks through end-to-end workflows from single-account to multi-account, including landing zone deployment and post-launch validation.

Modernizing .NET or SQL Server workloads? The Modernization section covers the full spectrum from simple .NET porting to complex multi-project transformations with database modernization.

Discovery and Assessment

Every migration begins with a question: what do we have? Most organizations discover the answer is harder to pin down than expected. Server inventories are incomplete; dependency maps are outdated, and building a credible business case takes weeks of manual analysis across fragmented data sources.

AWS Transform automates this entire phase. The following demos show how you can go from raw inventory data to executive-ready deliverables — TCO analyses, migration recommendations, and business cases through a conversational AI experience.

AWS Transform Discovery Tool
Your migration plan is only as good as the data behind it. This demo walks through the automated discovery process from deploying the discovery collector in your on-premises environment to generating a comprehensive inventory of servers, applications, and their dependencies. The result replaces weeks of manual spreadsheet work with a data-driven foundation that your migration team can act on immediately. If you have ever spent a sprint reconciling conflicting inventory sources, this demo shows a faster path.

AWS Transform Assessment using Kiro Power
Running assessments typically means switching to the AWS Transform console, uploading inventory data, and navigating the job workflow. This demo shows a faster path: using Kiro’s MCP integration to run AWS Transform assessments directly from your AI IDE. From within Kiro, you can feed inventory data, generate TCO analyses and right-sizing recommendations, compare migration scenarios, and produce executive-ready business cases — all without leaving your development environment. For teams that already work in Kiro, this eliminates the context switch and puts assessment capabilities where you already are.

Migration

With your environment assessed and your business case approved, the next challenge is execution. Migration projects stall not because the technology is hard, but because the coordination is: setting up the target environment, planning wave strategies, executing rehost operations, and validating that everything works in the new environment. Each step involves different tools, different teams, and different risks.

AWS Transform brings these steps into a single agentic AI experience. The following demos walk through each phase of the migration lifecycle, from initial setup to post-launch validation.

Getting started

AWS Transform Intro
If you have five minutes and want to understand what AWS Transform looks like from the inside, start here. This demo provides a high-level tour of the conversational interface, showing how jobs are created, how the agentic AI plans and executes tasks, and how human checkpoints are integrated into the workflow. It is the fastest way to decide which deeper demos are worth your time.

AWS Transform for Migrations: Access and Console Setup
Before your team can start migrating, you need to enable the service and configure access. This demo walks through that process step by step — including setting up identity provider options (AWS IAM-only, AWS IAM Identity Center, or third-party IdP). It takes a few minutes to configure, and this demo ensures you know exactly what to expect before you start.

End-to-end migration workflows

AWS Transform for Migrations: Single Account
This is the demo to watch if you want to see the full migration workflow. It follows a complete migration within a single AWS account — from discovering on-premises workloads through planning wave strategies to executing the rehost and validating the results. You will see how the conversational AI interface guides each decision point while automating the infrastructure work that typically consumes your team’s sprint capacity.

AWS Transform for Migrations: Multi Account
Enterprise migrations rarely involve a single account. This demo extends the end-to-end workflow to a multi-account environment, showing how AWS Transform provides centralized visibility and orchestration while respecting account boundaries and governance controls. If your organization uses AWS Organizations with multiple workload accounts, this demo reflects your real operating model.

Specialized migration capabilities

AWS Transform for Migrations: Landing Zone Deployment
This demo shows how AWS Transform’s Landing Zone Agent designs and deploys a complete multi-account AWS environment through a guided AI conversation — covering AWS Control Tower, organizational units, service control policies, governance guardrails, and workload account provisioning. For teams that have spent months designing landing zones manually, this demo shows how the same outcome is achievable in a fraction of the time.

AWS Transform for Migrations: Rehost Post-Launch Actions
Migration does not end at cutover — it ends when the application is verified and running correctly in its new environment. This demo shows how AWS Transform automates the post-rehost checklist: verifying connectivity, confirming application health, validating security groups, and verifying operational standards are met. For migration leads who have managed post-cutover spreadsheets across dozens of servers, this demo demonstrates a more reliable approach.

MCP integration

AWS Transform supports the Model Context Protocol (MCP), enabling you to interact with migration workflows directly from development tools like Claude, Kiro, and Copilot. The demos below show how this integration works across different environments.

AWS Transform for Migrations: MCP via Claude
See how Claude drives AWS Transform’s migration capabilities through the Model Context Protocol — orchestrating workflows, querying migration status, and executing tasks without leaving the coding environment. This demo is for teams that want to integrate migration operations into their existing developer toolchain.

AWS Transform for Migrations: Kiro Power
Experience AWS Transform’s migration capabilities powered through Kiro’s MCP integration, showing how agentic AI workflows accelerate migration planning and execution from within the Kiro IDE.

AWS Transform for Migrations: MCP via Copilot
This demo shows how AWS Transform integrates with Copilot through the Model Context Protocol, enabling you to drive network migration workflows from your familiar development environment.

Modernization

Migration gets your workloads to the cloud, but modernization is where you capture the real value. Legacy .NET Framework applications tied to Windows Server carry licensing costs that grow every renewal cycle. SQL Server databases locked to on-premises infrastructure limit your ability to scale. And the longer these workloads run unchanged, the harder they become to modernize.

AWS Transform uses agentic AI to automate the most labor-intensive parts of modernization: analyzing application dependencies, converting database schemas, transforming application code, and validating results. The following demos cover .NET, SQL Server, and full-stack Windows modernization scenarios.

.NET modernization

Modernize .NET at scale with AWS Transform
The most direct path to reducing Windows licensing costs is porting .NET Framework applications to modern cross-platform .NET on Linux. This demo walks through the core transformation workflow — analyzing the existing application, executing the port, and reviewing the results. For organizations with dozens or hundreds of .NET Framework applications, this demo shows how the process scales.

AWS Transform .NET Agent for Visual Studio Modernization
Your developers already live in Visual Studio. This demo shows how the AWS Transform .NET Agent integrates directly into the IDE, bringing modernization capabilities to the tool your team uses every day. The agent analyzes, plans, and executes .NET transformations without requiring developers to context-switch to a separate console.

Use Kiro to Finalize .NET Apps After Transformation
AWS Transform handles the heavy lifting, but some applications need a final polish after transformation. This demo shows how Kiro’s AI-powered IDE identifies and fixes residual runtime issues — CSS problems, configuration mismatches, and edge cases that automated transformation may not catch. The result is full confidence that your modernized application is production-ready on Linux.

AWS Transform for .NET Complex Modernization
Not every .NET application is a simple web form. This demo tackles the hard cases: multi-project solutions, applications with intricate inter-service dependencies, and legacy code patterns that resist automated transformation. See how AWS Transform’s agentic AI navigates the complexity that typically causes manual modernization projects to stall or miss deadlines.

SQL Server and Windows modernization

AWS Transform for Full-Stack Windows Modernization
Windows modernization is rarely just the application — it includes the SQL Server database, the IIS configuration, the Windows-specific dependencies, and the integrations that tie everything together. This demo shows how AWS Transform addresses the full stack in a coordinated workflow, keeping database and application changes aligned so one does not break the other.

AWS Transform for SQL Server Modernization
SQL Server licensing renewals are one of the top cost drivers behind modernization initiatives. This demo walks through how AWS Transform modernizes SQL Server databases — from assessment and schema conversion through data migration to Amazon Aurora PostgreSQL. The agentic AI workflow ensures that dependent applications are updated in lockstep with the database migration, eliminating the broken-handoff problem that plagues traditional re-platforming efforts.

AWS Transform for Continuous Modernization
Modernization is not a one-time event. Applications that were rehosted today can be refactored tomorrow. This demo shows how AWS Transform supports continuous modernization — using agentic AI to iteratively improve applications over time, progressively adopting cloud-native patterns and reducing technical debt with each cycle.

Get started

After walking through these demos, you will have hands-on context to make a practical decision: Is AWS Transform the right fit for your next migration or modernization project? Which capabilities address your most pressing challenges? And what would a proof-of-concept look like in your environment?

Here is how we recommend you proceed:

• If you watched the demos and want to try the service, visit the AWS Transform console to get started with your own workloads.
• If you want to go deeper on a specific capability, explore the AWS Transform documentation for detailed technical guidance.
• If you are planning a large-scale migration and want expert support, contact your AWS account team to discuss how AWS Transform fits into your program.

We will continue adding new demos as AWS Transform capabilities expand. To stay current, visit the AWS Transform product page for the latest updates.