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Beyond the Hype: Why the NHS Needs Better “Plumbing” Before It Can Build AI

As we approach the end of May, I’ve been thinking about how much news there’s been about AI and legacy systems in the last few weeks, with the NHS being central to many conversations I’ve had as well. We’ve definitely moved past the initial excitement of “what can AI do” and are now grappling with harder questions about how it will be implemented, run, and measured.

I’ve been posting about the synergy between legacy systems and new intelligence for a while now, but recent developments this month have brought this more into focus. The barrier to AI adoption in our healthcare system is not just about sophisticated algorithms, it’s about the fundamental “plumbing” of our digital estates.

The 84% Reality
New research released earlier this month by Cloudhouse has highlighted interesting statistics about the UK public sector’s digital landscape. 84% of organisations are reliant on existing, often outdated, Microsoft Windows environments. While these environments have served us well for decades, they are becoming a significant friction point for the agile, cloud-native architectures that are becoming more prevalent now, particularly with the increased adoption of AI.

The report highlights that 69% of technology leaders now cite these existing systems as the primary blocker to AI adoption. We cannot simply bolt a high-performance AI engine onto a chassis that wasn’t built for it. The result is a bottleneck where migration planning stalls. Testing becomes a nightmare, audit compliance becomes nearly impossible to prove, and fingers start being pointed everywhere.

The Human Cost of “Unstable Internet”

An eye-opening insight came from The King’s Fund. They recently published a sobering look at the day-to-day reality for NHS staff which, simply put, strips away all the ‘corporate speak’ to reveal a simple fact: you cannot use AI if your computer crashes.

Staff across the sector reported that poor infrastructure—unstable internet connections, shared devices that are constantly in use, and hardware that struggles to keep up—adds to their workload rather than reducing it. When a nurse is fighting to get a device to load, the promise of an AI tool that could save them five minutes is empty and hollow. The human element, which we are champions of, is being eroded not by a lack of technology, but by a lack of reliable technology.

Orchestration and Hardening

This brings us back to the core mission of MicroSystem Support. The solution to this challenge is not a “rip and replace” strategy. Replacing 84% of the UK’s legacy Windows environments overnight would be catastrophic for patient care. Instead, the path forward is orchestration and hardening.

We need to build secure, robust bridges that allow proven, existing systems to be robust, while enabling modern AI agents to operate safely within these environments. Ensuring that existing networks, hardware, the connectivity is supported, maintained, and managed effectively, is as critical as careful and strategic upgrade paths that ensure that these foundations are strong enough to support innovation. This is where our expertise and the art of integration really shines. It requires a deep understanding of the specific constraints of the NHS estate and the creativity to make new tools work within old walls.

A Call for Pragmatism
As we look toward the summer and beyond, let us be pragmatic. Whilst the goal of AI in healthcare is to improve patient outcomes and new systems need to be implemented, we must stop viewing legacy systems as the enemy and start viewing them as the environment we must optimise and build from.

Dr. Hatim Abdulhussain recently reminded us at the National Health Executive conference that modernising the infrastructure estate is urgent. He was right, but let us remember that modernisation doesn’t always mean demolition. Sometimes, it means reinforcing the foundations so that the new growth can take root.

Conclusion

The end of May 2026 marks a real turning point. We are no longer just dreaming of an AI-powered NHS. The reality we are facing is that there are very serious practicalities to building it. The path forward requires patience, investment in basic infrastructure, and a commitment to ensuring that everyone in the NHS has a stable, reliable device to do their job.

At MicroSystem Support, we are ready to help navigate this complex landscape. We believe that by fixing the plumbing, we can finally let the water flow, and in healthcare, that flow is the lifeblood of better care.

Sources referenced in this analysis:

  • Cloudhouse’s “State of Technical Debt Report” (May 2026), highlighting that 69% of leaders see legacy systems as a barrier and 84% rely on outdated Windows environments.
  • The King’s Fund report “Infrastructure for innovation: getting the NHS and social care ready for AI,” detailing the impact of unstable internet and shared devices on staff.
  • Insights from Dr. Hatim Abdulhussain at the National Health Executive conference on the urgent need to streamline legacy estates.

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