Thoughtworks Publishes Technology Radar Volume 35
The global consultancy's biannual report focuses on governing AI agents, human oversight, and the full cost of running AI at scale.
Updated on Nov. 4, 2026 in Artificial Intelligence
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Thoughtworks, a global technology consultancy, released volume 35 of its Technology Radar. The report is informed by the firm's experiences with clients and places 11 practices and technologies in its Adopt ring, including agent sandboxing and threat modeling.
Why it matters
Organizations deploying AI face challenges in securing agent environments, deciding access, establishing human oversight, and controlling running costs. The Radar's guidance reflects practical lessons from client work rather than theoretical forecasts.
The Adopt ring contains 11 practices and technologies, including agent sandboxing and threat modeling. Volume 35 builds on volume 34's examination of AI-at-scale risks, though the report's long-term effectiveness has not yet been assessed.
The players
Thoughtworks
Thoughtworks is a global technology consultancy that publishes the biannual Technology Radar based on its work with clients.
The details
Volume 35's themes span systems that govern agent behavior, human judgment, and the infrastructure that determines AI cost and reliability. The Radar cautions against human-in-the-loop theater and notes that open-weight models have narrowed the gap with proprietary frontier models for many workloads.
Timeline
• Volume 35 of the Technology Radar was released on November 4, 2026.
Tech Race
Volume 35 follows volume 34, which examined the friction and risks of using AI at scale, and shifts emphasis toward governing agent behavior and controlling costs. The Radar's cost analysis extends beyond model pricing to infrastructure and operational concerns.
Teams building or buying AI tools face concrete decisions about agent access, human oversight, and running costs. The Radar's Adopt ring offers a starting set of practices, though organizations will need to adapt them to their own systems.
The takeaway
Treat agent governance, human oversight, and infrastructure cost as design requirements from the start rather than afterthoughts. The Radar suggests these concerns determine whether AI systems stay reliable and affordable over time.
Further reading
For broader background, explore the latest coverage in Artificial Intelligence.
More information
Read the full interactive Technology Radar and PDF download from Thoughtworks.
Source note: This article includes information reported by Macau Business.
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