Sold by: Thoughtworks, Inc.
In today’s fast-moving digital world, slow software delivery, outdated architectures, and inefficient teams hold businesses back. Thoughtworks' AI-first Software Engineering Transformation offering is designed to break these barriers, combining AI-driven acceleration, optimized delivery teams, and data-backed insights to transform software engineering at scale. With a focus on modernizing infrastructure, streamlining development, and enhancing developer experience, we help organizations move faster, work smarter, and deliver measurable impact. As a global leader in engineering transformation, Thoughtworks brings decades of expertise to help businesses stay ahead in an increasingly competitive landscape.
Overview
Thoughtworks' AI-first Software Engineering Transformation is a data-driven, impact-focused approach designed to optimize software development by identifying and prioritizing high-value, low-effort changes. It leverages qualitative and quantitative insights, maturity modeling, and structured interviews to pinpoint friction points and validate hypotheses through value stream analysis and solution assessments. This iterative process allows organizations to calculate cost savings, define value metrics, and build a strong business case for transformation, ensuring both short-term wins and long-term enterprise scalability.
The approach is built around five integrated strategic enablers:
- Engineering Insights: Provides visibility into key metrics, identifies inefficiencies through data analysis and value stream mapping, and offers data-driven recommendations for continuous improvement.
- Platform Engineering: Treats infrastructure and tooling as a product, managing core functionalities like observability and deployment pipelines to reduce developer cognitive load and accelerate delivery.
- Developer Experience: Optimizes the engineering experience through a Backstage-powered developer portal, fostering collaboration, and enabling quicker access to best practices, significantly reducing onboarding time for some clients.
- Engineering Delivery Transformation: Integrates AI-driven development practices and identifies and removes waste in the delivery lifecycle. This includes leveraging Thoughtworks Haiven™ team assistant to accelerate tasks and maximize AI's impact across the software delivery lifecycle, implementing AI-powered automation for testing and deployment, and ensuring safe and ethical AI adoption.
- Engineering Organizations: Focuses on people and operational aspects, designing optimal global delivery organizations, optimizing team structures, and upskilling teams to improve cross-team coordination and align engineering with business objectives.
Engagement agenda:
- Week 1-2: AI-powered engineering insights & strategy definition
- Week 3-6: Platform engineering & AI tooling implementation
- Week 7-10: AI-enabled software delivery optimization
- Ongoing: Continuous engineering improvement, compliance enhancements
Client benefits and outcomes:
- Engineering assessment & AI readiness–evaluate team structures, workflows, and AI adoption strategies
- Platform engineering & AI automation–configure and deploy the AWS application stack for scalable, efficient engineering operations
- Engineering productivity & AI delivery transformation–implement an AI-driven software delivery lifecycle, using Amazon Q Developer and Thoughtworks' Haiven alongside AWS Developer Tools and Amazon CodeGuru
- Continuous optimization & AI governance–ensure compliance leveraging DX, and AWS' core dimensions of responsible AI
Highlights
- Optimized AI-powered engineering–Modernize software engineering and enhance developer experience and productivity using Amazon Q Developer, Amazon CodeGuru and Thoughtworks' Haiven.
- Cloud-native platform engineering–Build highly resilient architectures and applications leveraging Amazon Elastic Kubernetes Service (EKS), AWS App Runner / Elastic Beanstalk, and AWS Lambda.
- Data-driven engineering insights–Measure and improve productivity using Amazon CloudWatch and DX to collect and monitor DORA metrics.
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