UK.gov hikes health AI tender by 400% – and hundreds of millions – after a chat with suppliers

Summary

AI + ML UK.gov hikes health AI tender by 400% – and hundreds of millions – after a chat with suppliers Maximum framework value sky-rockets from £150M to £600M after 'an extensive intelligence gathering exercise' The UK government has upped the maximum value of a health service AI framework agreement by £600 million following a conversation with tech suppliers.The National Health Service's Shared Business Services (NHS SBS), a purchasing quango under the Department for Health and Social Care, recently launched a competition for places on a framework for NHS AI and robotics worth a maximum of £750 million excluding tax. Back in January 2025, the same procurement was priced at a maximum of £150 million, excluding tax, in an early market engagement with suppliers.An NHS SBS spokesperson said: “As with all our framework agreements, we conducted an extensive intelligence gathering exercise whilst bringing this framework to market. During this, both suppliers and customers indicated that a higher threshold was appropriate, and this has been approved by NHS England, the Cabinet Office and the Department for Science, Innovation and Technology.” The competition seeks to attract suppliers offering a broad sweep of AI and robotics systems. A framework deal offers suppliers an indicative amount of spend in return for pre-agreed prices. NHS SBS can charge a levy on all deals agreed under the framework. The recent procurement note says the procurement recognizes “the transformative potential of AI in addressing current and emerging healthcare challenges, from improving diagnostic accuracy and clinical decision-making to streamlining operational processes.”The shopping list for AI tech is split into eight lots. They include Radiology and Diagnostic Imaging, where the authority calls for “AI-powered radiology tools, medical imaging diagnostic platforms, and integrated imaging software solutions designed to support clinical decision-making and image-based diagnostics.”Standing out fr...