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Saved February 14, 2026
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Thoughtworks introduces AI/works™ as a new standard for building and managing AI-driven systems. It offers a methodology for upgrading legacy systems and streamlining the software development lifecycle from concept to MVP in three months. The platform integrates with major cloud services and focuses on evidence-based modernization.
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Thoughtworks has introduced AI/works™, a framework designed to transform how industrial-grade systems are built and maintained in the AI era. Unlike traditional methods that often lead to costly cycles of building and rebuilding software, AI/works™ aims to streamline this process by continually updating systems to adapt to changing business needs, regulatory requirements, and emerging security threats. It allows for the creation of functional blueprints through observable evidence, making the modernization of legacy systems more manageable and less risky.
The platform promises to accelerate product deployment, taking ideas to a minimum viable product (MVP) in just three months using a structured methodology called 3-3-3. This approach involves aligning stakeholders, prototyping to confirm viability, and then shipping the MVP while leveraging AI/works™ for ongoing improvements. It integrates with major cloud services like AWS, Google Cloud, Microsoft Azure, Databricks, and Snowflake, ensuring compatibility with current technologies.
Overall, AI/works™ represents a shift in software development, focusing on evidence-driven strategies that reduce costs and enhance system longevity. It offers a more efficient path for both legacy and new systems, positioning Thoughtworks as a leader in modern software engineering practices.
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