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AWS Transform Partners

Overview

To help customers accelerate their migration and modernization journeys, AWS is working closely with leading partners who are leveraging the agentic AI capabilities of AWS Transform to unlock faster, smarter, and more cost-effective modernization for a wide range of legacy workloads—including .NET, VMware, and mainframe. Together with AWS, these partners are enabling customers to reduce manual effort, streamline assessments, and achieve modernization outcomes that were previously out of reach.

                              

1CloudHub

"Modernizing a 7,000-file, 2 GB .NET Framework 4.6.1 application with legacy security risks would have required significant manual effort. AWS Transform for .NET enabled us to complete the transformation and testing in just weeks—boosting productivity by 85%. The time saved allowed us to optimize infrastructure to better support the customer’s scalability needs. With AWS Transform, 1CloudHub is ready to take on even larger modernization projects."

Manivannan Santhanam, Head of Innovation & Solution Engineering, 1CloudHub, Singapore

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1CloudHub

"At 1CloudHub, AWS Transform for VMware significantly accelerated our VMware-to-AWS migration assessment for our customer, a 'global virtualization platform' provider. It reduced execution time by 40% and cut manual effort by 60% in key areas like dependency mapping and compliance. With AI-driven insights, we created optimized wave plans projected to lower migration costs by 30–40%, while improving security, compliance, and business alignment."

 MahaVishnu G, Delivery Manager, 1CloudHub, India

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Accenture

"AWS Transform brings a fresh perspective into the mainframe modernization effort by helping accelerate our understanding of the legacy code and reducing our reliance in Subject Matter Experts. Compared with a traditional approach we see the ability to leverage innovation at a much faster pace, leveraging the collaboration between Accenture and AWS leading to an optimized delivery timeline."

Noe Gutierrez, Managing Director, Accenture LLC

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Accenture

"AWS Transform for VMware can significantly accelerate the cloud migration journey of our clients by reducing rework, minimizing consulting needs, and bridging gaps in legacy knowledge. Based on our internal testing, we've seen that AWS Transform for VMware can reduce VM migration time to AWS by at least 50%. We’re now integrating AWS Transform into our tooling to enable even faster migrations and unlock more value-driven outcomes for our business."

Neil Redmond, Managing Director, Accenture

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Axcess.io

"At Axcess.io, AWS Transform for .NET helped us modernize a core HRMS system for one of India’s leading NBFCs (Non-Banking Financial Company)—modernizing from .NET Framework 4.5 to .NET 8 on AWS. This delivered a 3x performance improvement and an estimated 20% boost in application responsiveness and user experience.

We accelerated code modernization by 50%, cut delivery timelines by 30%, and reduced infrastructure and licensing costs by 30%. Security was also strengthened through AWS Control Tower and native AWS security services, ensuring compliance in a highly regulated environment. We’re excited to build on this success across the financial services sector.“

Prakash Kumar, CEO, Axcess.io

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Capgemini

"AWS Transform for .NET have been instrumental in an Australian logistics provider journey to modernize .NET Framework applications to cross-platform .NET. Its unmatched analysis capabilities delivered 60–70% efficiency gains during the modernization planning of complex applications. Combined with rapid, iterative codebase transformation, we expect modernization to be more than 50% faster compared to traditional approaches—significantly accelerating progress in a way that was previously impossible.

It’s clear from the continued investment and roadmap that AWS Transform will lead the way in generative AI-powered application modernization. We look forward to partnering with AWS to align our tools and methodology with the agentic AI framework envisioned by AWS Transform.“

Jared Hill, Vice President, Capgemini Cloud & Custom Applications A/NZ

 

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Capgemini

"The modernization of mainframe applications is crucial for unlocking the full potential of cloud solutions. Historically, this transformation has been a lengthy, complex process spanning several years. However, with AWS Transform for mainframe, we now have the power to accelerate this journey, completing modernization projects in months rather than years, dramatically reducing costs and risks for our financial services clients.

By harnessing AWS Transform agentic AI capabilities, we simplify complex modernization efforts while ensuring business continuity and cost-efficiency. Our collaboration with clients will continue to drive rapid innovation, using AWS's AI to enable faster, simpler transformations with better outcomes."

Shashi Gupta, VP, Capgemini FS - Global AWS CoE 

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Caylent

"At Caylent, we accelerate outcomes for our customers by combining our AI accelerators and proven development methodologies with powerful AWS AI services like AWS Transform. With AWS Transform’s generative AI capabilities, tasks like translating complex VMware network configurations into AWS VPCs, subnets, and security groups, once time consuming and error prone, can now be completed in minutes. We can now go from RVTools output to CloudFormation in a fraction of the time."

Randall Hunt, CTO, Caylent

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Cognizant

"At Cognizant, we help enterprises modernize legacy mainframe systems to unlock agility, cost savings, and digital innovation. As part of that journey, we’ve evaluated AWS Transform for mainframe and are excited by its potential to accelerate code analysis, documentation and refactoring powered by Blu Age. This AI-powered capability streamlines the discovery and transformation of COBOL workloads, reducing manual effort. By automating key steps in the modernization lifecycle, we can enable clients to shift from legacy to cloud-native architectures faster, while empowering their teams to focus on innovation and long-term value creation.“

Pramod Bijani SVP, Head Platform Group (Engineering), Cognizant

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DXC

"AWS Transform is a powerful enabler for DXC Assure Platform engineering team, supporting mainframe COBOL application migration to DXC Assure Cloud. Through AI-driven code analysis at scale combined with DXC’s own GenAI capabilities developed on Amazon Bedrock, we anticipate migration analysis time reduction by up to 25%.

As part of the Assure Platform migration toolkit, AWS Transform also has the potential to offer alternatives to the traditional lift-and-shift migration approach by enabling AI-powered software architecture re-platforming that seamlessly aligns with the Assure Platform’s cloud-native architecture, ultimately delivering improved performance and cost benefits to our clients.“

Jim Restivo, Sr. Vice President of Insurance Solutions, DXC

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EPAM

"AWS Transform for .NET has proven effective at accelerating code transformation. In a recent modernization effort moving a .NET Framework 4.8 library to .NET 8 for a healthcare client, we observed more than 50% faster execution compared to manual methods. This success gives us the confidence to scale our .NET modernization efforts more efficiently and tackle large-scale transformations with greater speed and consistency." 

Vladimir Agres, VP, Cloud Engagement, EPAM

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HCLTech

"Mainframe modernization has always been a complex problem. AWS Transform offers a revolutionary solution to address this complexity. It provides automation coverage on critical area of productivity that are code analysis, decomposition, documentation, and iterative transformation. We have observed a potential of 10-15% improvement in engineering efforts and around 15% reduction in cycle time. It further helps with significant reduction of about 30% in dependency on legacy systems SMEs time. We expect further productivity gains as the solution leverages inherent potential of agentic-AI experience with human-in-the-loop oversight. This significantly enhances our confidence on delivering better ROI for the digital transformation that our customers are undertaking.“

Sandeep Rajpathak, Senior Vice President and Global Head, Custom Applications, Digital Business Services, HCLTech

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Hexaware

"At Hexaware, we recently used AWS Transform to modernize a legacy .NET Framework 4.7 application to .NET 8 in an internal evaluation. The entire process—including execution and validation—was completed in just 6 hours, compared to 32 hours of estimated manual effort, delivering over 80% time savings. The transformation achieved over 90% code accuracy with minimal manual adjustments and reduced Windows Server dependency, resulting in approximately 45% cost savings."

Kunwar Singh Taneja, Transformation Architect, Global AWS Cloud Practice, Hexaware Technologies

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Infosys

"Legacy modernization is essential for enterprises to stay competitive. Updating outdated, complex mainframe systems is key but often challenging due to their complexity, limited documentation, and shortage of experts. AWS Transform for mainframe simplifies this with AI-driven tools for analysis, documentation, decomposition, and refactoring workflows—streamlining the process, while reducing complexities, and need for mainframe expertise. Combined with our deep expertise in mainframe modernization and the Infosys Live Enterprise Application Development platform, part of Infosys Cobalt and Infosys Topaz, we help enterprises achieve greater agility and efficiency in their transformation journeys.“

Balakrishna D. R. (Bali), Executive VP and Global Services Head, AI and Industry Verticals, Infosys

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Kyndryl

"Mainframe application modernization projects are often complex, time-consuming and carry significant risk. As an alliance partner of AWS, Kyndryl has experienced first-hand how the AWS Transform solution can support and accelerate the mainframe modernization journey for customers, whether they aim to modernize on, integrate with, or move applications off the mainframe.

AWS Transform's ability to translate complex code terms leveraging generative AI helps to improve understanding of and working with application documentation. Based on our work with AWS Transform, our projections indicate that a project typically taking 12 months could potentially be completed in about 8 months, representing an approximate 33% time savings. The combination of Kyndryl’s deep mainframe expertise and the generative AI capabilities provided by AWS Transform can help customers across various industries streamline their mainframe transformation initiatives, increase productivity, and hence drive more business value.“

Richard Baird, Chief Technology Officer for Core Enterprise & zCloud, Kyndryl

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Pega Systems

“The integration of AWS Transform with Pega’s AI centric Legacy Transformation tooling has significantly accelerated client value with their Discovery, Design and Development processes. With AWS Transform’s AI capabilities, we’ve compressed what was historically multi-year projects into accelerated cloud modernization initiatives that enable organizations to realize business value in under 90 days... The combined technological capabilities of AWS Transform and Pega Blueprint give clients the unparalleled ability to rapidly analyze their legacy applications... and leverage AI to consume these insights to develop a functional and cloud ready application model. This approach has positioned clients to tackle complex legacy application modernization projects with confidence to unlock significant economic value both from an operational budget management as well as business model change.”

Ravesh Lala, Legacy Transformation Practices Leader, Pega Systems

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Slalom

"AWS Transform for VMware dramatically accelerated migration planning by automating VM discovery and workload assessment. The agentic AI service achieved 100% discovery accuracy and provided critical insights into resource utilization, dependency mapping, and the right-sizing of infrastructure. Its integration with AWS Application Discovery Service and Migration Hub proved especially valuable for our complex migration needs, helping us better understand application dependencies within our customer’s estate. We achieved a 50% reduction in our discovery timeline, translating to a 2x - 3x acceleration in the assessment phase alone. We look forward to leveraging AWS Transform as a cornerstone of our infrastructure modernization offerings as we continue to accelerate our customers’ cloud journey.“

 Stefan Buchman, Head of Solutions, Slalom

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Softserve

"Modernization of old .NET frameworks to modern version of .NET core, provides up to 15 times better performance comparing version 4.8 and 8.0 (BenchmarkDotNet). Running .NET on Linux can additionally save at least 50% on the cost, including eliminated Windows licenses, and drastically improve security. With AWS Transform for .NET, modernizing the codebase is easier and faster than ever before, accelerating modernization efforts by 70-90%. Lastly, we gain compatibility between x86 and ARM, improving sustainability, cost efficiency and better integration with the modern technologies. .NET modernization connected with SAMP - SoftServe's Application Modernization Platform - creates a perfect end-to-end solution helping the customers to adopt cloud native services, improve development lifecycle and accelerate modernization even more."

Jarek Grzabel, AWS Cloud CoE Lead, SoftServe

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SourceFuse

"With the usage of AWS Transform for .NET, major code transformations are happening within days/weeks instead of months. This has resulted in more customers being interested on modernizing, as they can experience a faster ROI and lower their transformation and operational costs. By modernizing, our customers can see the benefits from modernization such as up to 40% cost savings, 40% faster time to market of new features, etc. And by using AWS Transform, our customers can speed up their modernization by up to 55%."

Ananth Deodhar, Practice Head - Modernization, Sourcefuse

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SourceFuse

“At SourceFuse, we’re excited about the transformational potential of AWS Transform for VMware-to-AWS migrations. By automating critical steps like dependency mapping, network translation, and wave planning, we’ve seen execution times improve by up to 90%, while reducing manual effort by 80%. This capability empowers us to deliver faster, lower-risk migrations, helping our customers achieve cloud readiness sooner and build a scalable, future-proof foundation on AWS. Wave planning and network setup is reduced from 2 weeks to just a couple of hours. By taking an overall average across different steps in the process; the automation of tasks like discovery, planning, network conversion, and execution, and significant time reductions, AWS Transform for VMware reasonably cuts human efforts down by 80%." 

Rajiv Lokare, Head of DevOps, SourceFuse

 

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TEKsystems

"AWS Transform for .NET demonstrates the capability to significantly accelerate our customers’ modernization efforts while delivering high-quality code transformation. In a recent customer implementation, all transformed code compiled without errors and met acceptance criteria without requiring manual intervention. The service handled complex updates, including dependency injection configuration, effectively reducing the need for manual review. This correct-by-default experience gives us the confidence to scale our .NET modernization efforts and has enabled an 80% reduction in time-to-value for our customers. This aligns with TEKsystems Global Services' AI-first strategy and allows us to deliver services at an accelerated pace." 

Jay Mozo, Executive Director, TEKsystems

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TEKsystems

"AWS Transform for VMware accelerated migration planning by automating VM discovery and workload assessment. The agentic AI experience achieved 100% discovery accuracy and provided critical insights into resource utilization and dependency mapping. It also reduced our discovery timeline by 80%. The integration with AWS Application Discovery Service and Migration Hub proved especially valuable for our complex environment, helping us better understand application dependencies within our customer’s estate. AWS Transform’s capabilities will be integrated into TEKsystems Global Services’ Gen AI CCoE and become a fundamental component of our infrastructure modernization services as we continue to accelerate our customers’ cloud journey.“

Jay Mozo, Executive Director, TEKsystems

 

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Virtusa

"AWS Transform has elevated Virtusa’s VMware migration capabilities by using agentic AI to streamline discovery, automate wave planning, and reduce VPC provisioning time by up to 70%. It’s a game changer for fast, flexible, and customer-aligned migrations to AWS." 

Venkataramanan Nagarajan, Cloud Solutions Head, Virtusa

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