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Thoughtworks and AWS:

Engineering the future of automotive and manufacturing

From industrial core modernization to enterprise autonomy
AWS Back

Modernize industrial systems, from the plant floor to the vehicle

 

Automotive and manufacturing leaders are moving from fixed, hardware-bound systems to software-defined vehicles and connected plants. Thoughtworks and AWS modernize the industrial cores you run today and build the connected AI platforms your next products depend on, at the pace that long product lifecycles and safety regulation require.

Talk to our team

An AWS platform, engineered for mobility and manufacturing

 

AWS provides the building blocks for industrial autonomy: Amazon EKS and Amazon EC2 for scalable compute, Amazon S3 and AWS Glue for data, AWS IoT services for device connectivity, Amazon SageMaker and Amazon Bedrock for AI, and services such as AWS Batch and Amazon RDS for core workloads.

 

We bring the product, engineering and delivery experience to put those services to work on real vehicle programs and factory transformations, with mixed fleets, plant integration, global compliance and the long lifecycles that define this industry. Together we move you from one-off digital projects to platforms that underpin SDVs, connected products and smart factories.

Built for measurable value on the road and in the plant

Faster SDV feature delivery

Move off long, hardware-linked release cycles to cloud-backed SDV platforms that support continuous software delivery, experiment-driven development and regulatory compliance.

Higher uptime, better ownership experience

Connected AI platforms on AWS power predictive and smart maintenance. BMW uses machine learning on AWS to spot an upcoming service need from vehicle data and tell the customer before a failure.

Lower mainframe and legacy risk

Retire aging mainframes and tightly coupled plant or warranty systems in a controlled way. Our behavior-first, AI-assisted approach helped a global manufacturer bring a planned 18-month modernization down to about five months while core operations stayed stable.

More responsive sales and service

Platforms such as Mercedes-Benz Cloud Engine on AWS give sales IT teams a faster path to new digital services, connected data and global scale, with teams self-serving the infrastructure they need.

Trusted delivery at industrial scale

In 2026, John Deere recognized Thoughtworks as a Partner-level supplier in its Achieving Excellence Program, its highest supplier rating, reflecting work across manufacturing, aftermarkets, data and AI, and enterprise infrastructure.
Faster SDV feature delivery

Move off long, hardware-linked release cycles to cloud-backed SDV platforms that support continuous software delivery, experiment-driven development and regulatory compliance.

Higher uptime, better ownership experience

Connected AI platforms on AWS power predictive and smart maintenance. BMW uses machine learning on AWS to spot an upcoming service need from vehicle data and tell the customer before a failure.

Lower mainframe and legacy risk

Retire aging mainframes and tightly coupled plant or warranty systems in a controlled way. Our behavior-first, AI-assisted approach helped a global manufacturer bring a planned 18-month modernization down to about five months while core operations stayed stable.

More responsive sales and service

Platforms such as Mercedes-Benz Cloud Engine on AWS give sales IT teams a faster path to new digital services, connected data and global scale, with teams self-serving the infrastructure they need.

Trusted delivery at industrial scale

In 2026, John Deere recognized Thoughtworks as a Partner-level supplier in its Achieving Excellence Program, its highest supplier rating, reflecting work across manufacturing, aftermarkets, data and AI, and enterprise infrastructure.

Automotive and manufacturing on AWS, in production

 

Mercedes-Benz: Cloud Engine for sales transformation

Explore how Mercedes-Benz AG partnered with Thoughtworks to build "Cloud Engine" on AWS, a flexible digital platform designed to accelerate cloud migration and modernize global sales infrastructure.

 

The solution established a shared governance model that integrates with legacy systems, providing developer self-service tools and security guardrails to streamline data migration and cloud-native application delivery.

 

The result: Delivered and deployed the new platform in just nine months, empowering product teams to launch digital sales services much faster while scaling capabilities globally.

Accelerating mainframe modernization with AI and AWS for a leading manufacturing company

Explore how a global industrial equipment and services leader partnered with Thoughtworks to safely retire a high-risk legacy mainframe and modernize its critical extended warranty platform.

 

The solution utilized a behavior-first approach combining AWS cloud-native architecture, PostgreSQL, and AI-driven automation tools to seamlessly transition complex batch workloads and databases without disrupting business operations.

 

The result: Accelerated the modernization timeline by 80%—delivering the project in just five months instead of the initially scoped 18 months—and successfully migrated hundreds of legacy assets to a scalable, future-ready infrastructure.

Building a scalable connected AI platform for BMW Group

Explore how BMW Group partnered with Thoughtworks to build the BMW connected AI platform, a scalable and cost-efficient ecosystem for AI-based vehicle services on AWS.

 

The solution utilized Kubernetes clusters and Kubeflow to orchestrate machine learning workflows, addressing multi-region data compliance while giving data scientists the ability to deploy AI infrastructure on demand.

 

The result: Delivered a working pilot in just four months and successfully launched proactive "smart maintenance" capabilities to improve the global customer experience.

Achieving Partner-level status reflects the strength of our relationship and our shared focus on delivering meaningful outcomes for Deere’s customers. By aligning our engineering excellence with Deere’s industry leadership, we are helping modernize critical digital experiences to support Deere’s long-term growth and continued success.
Manish Sateeja
SVP and Head of Automotive and Manufacturing, North America, Thoughtworks

Two ways to get started

 

Wherever you begin, you start with a fixed scope and a clear price, and you leave with a costed roadmap rather than a maybe.

Modernizing a core, mainframe or payments estate

For banks and insurers. Start with the three-day AI/works and AWS Transform workshop. It is a fixed-price engagement with AWS funding and AWS Marketplace procurement, and it leads to a first production slice in three months.

Explore the AI/works and AWS Transform workshop

Building software-defined vehicles

Start with our continuous compliance offer for SDV development on AWS Marketplace, and use SDV Pulse to shape the roadmap. From there we scope a first slice, such as an SDV compliance pilot, and take it to production on AWS.

See “Continuous compliance for SDVs” on AWS Marketplace

Thinking together, building together

Our work with AWS goes beyond delivery, it's a shared commitment to shaping what AI-powered enterprises can become. From agentic AI frameworks and fraud prevention to media reinvention, explore the research, reports, and conversations we're building together.

Ready to build the next generation of vehicles and factories on AWS?

 

Whether your focus is SDV platforms, connected AI, factory cores or sales transformation, we will help you move from strategy to working systems.

View on AWS Marketplace

Frequently asked questions

  • We focus on the systems that shape your competitiveness: SDV platforms, connected AI platforms, plant and warranty cores, and sales infrastructure. We modernize them with AWS services and AI/works in a way that respects long product lifecycles, global compliance and safety.

  • No. Most clients start with a focused scope, such as one vehicle program, a warranty workload or a single sales platform. From there we sequence the rest on a roadmap that manages risk and dependencies.

  • AI/works helps analyze large legacy estates, guide refactoring, speed up testing and support agentic workflows. On AWS, that often means pairing AI/works with services such as AWS Batch, Amazon RDS and Amazon SageMaker, and with partner platforms like Mechanical Orchard for mainframe modernization.

  • Many automotive and manufacturing programs qualify for AWS funding, and several of our SDV and modernization offers sit on AWS Marketplace, including the continuous compliance offer for SDV development. We help you find the funding options and the right place to start.

  • Most organizations start with a short, focused engagement to map the pain points and define a first slice, such as an SDV compliance pilot or a mainframe workload assessment. From there we agree on clear outcomes and a path to production on AWS.