Thoughtworks, a global technology consultancy, has unveiled its new agentic development platform, AI/works™, aimed at modernizing legacy systems and facilitating the creation of advanced technology products amid the growing demand for AI integration. Launched on January 20, 2026, in Chicago, the platform is designed to enhance both the quality and the economics of enterprise-grade technology development, thereby addressing a significant gap for organizations seeking to leverage AI capabilities while managing existing systems.
Thoughtworks has long been at the forefront of software delivery methodologies, pioneering practices such as Agile, microservices, and continuous delivery. With AI/works™, the company aims to extend this heritage into the AI era, offering a comprehensive platform that unifies legacy system understanding, requirement enhancement, automated specification generation, and code development within complex enterprise environments.
Despite the rapid advancement of AI technologies across various industries, many organizations continue to struggle with the limitations posed by their legacy systems. Unlike other agentic platforms that typically cater to new architectures or incremental productivity gains, AI/works™ is tailored for the hybrid environments where most enterprises operate. This unique focus allows organizations to streamline their modernization efforts significantly. Clients utilizing the platform report a drastic reduction in modernization cycles, which previously took years, now completing in mere months with appreciable cost savings and improved time-to-market.
The platform embodies Thoughtworks’ innovative 3-3-3 delivery model, which facilitates the transition from concept to production in just 90 days. It also integrates seamlessly with leading cloud ecosystems such as AWS, Google Cloud, Microsoft Azure, Databricks, and Snowflake. A partnership with Mechanical Orchard further enhances its capabilities in deep mainframe renewal.
“Every CEO and CIO I meet is trying to unlock AI value inside the reality of their existing systems, not in idealized greenfield environments,” stated Mike Sutcliff, CEO of Thoughtworks. “AI/works™ is built for those conditions. It understands the systems organizations have, accelerates the systems they need next, and keeps everything current as the landscape shifts. The magic comes from the combination of the platform and our deeply talented technologists, together delivering results with speed and confidence.”
AI/works™ employs AI-enabled reverse engineering to analyze legacy applications, transforming them into structured specifications enriched with regulatory, security, and industry context. These specifications fuel agentic workflows that generate production-grade code, automated tests, and deployment pipelines. The platform’s ability to continuously regenerate components as requirements evolve helps reduce manual patching and eliminates the need for extensive rebuilds.
This agentic engineering approach is rapidly gaining traction as a competitive category within the tech ecosystem. While several major firms are venturing into this space, many existing tools predominantly focus on accelerating new code creation without addressing the structural challenges that enterprises face. “AI/works™ stands out because it addresses the entire lifecycle, from understanding and renewing legacy systems to building what comes next,” remarked R “Ray” Wang, CEO at Constellation Research, highlighting the platform’s comprehensive capabilities.
AI/works™ is currently accessible through a co-innovation program, with wider availability set to expand as part of Thoughtworks’ broader AI that works initiative in the upcoming quarter. Organizations interested in exploring the platform can request a demo on the official Thoughtworks website.
As enterprises continue to navigate the complexities of digital transformation and AI integration, platforms like AI/works™ signify a crucial step towards balancing legacy system management with innovation, paving the way for higher efficiency and responsiveness in the tech landscape.
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