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Navigating AI Adoption in the Public Sector

Plans to transition from an analogue to a digital NHS and modernise public sector technology through the adoption of artificial intelligence (AI) are facing significant challenges. According to Scott Logic, a specialist software consultancy, outdated legacy platforms, ineffective procurement processes, and a lack of leadership skills are hindering progress. At a recent event, the company highlighted that AI is often viewed as a quick-fix solution, with insufficient consideration given to the necessary conditions for effective integration.

Insights from the Recent Event

During the ‘How Should Government Use AI’ event, hosted by the Institute for Government (IfG), Scott Logic warned that the integration of AI could be significantly delayed unless core obstacles, such as ageing legacy systems, are addressed. Experts argue that while there is general awareness that static public sector tools are not designed to work with more intuitive technologies, a resolution is unlikely without training leaders and procurement decision-makers to make more informed AI purchasing decisions.

Leadership Challenges in AI Adoption

Stephen Foreshew-Cain, CEO of Scott Logic and former Executive Director of Government Digital Services, discussed the barriers to AI adoption in detail. “The widespread integration of AI and other innovative technologies designed to advance the public sector’s digital transformation is clearly facing substantial delays and blocked by the constraints of ageing platforms built on legacy technology,” he stated. However, addressing these issues is hindered by two core challenges that must be resolved for progress to be made.

The Procurement Dilemma

First and foremost, there is a notable lack of leaders with technological expertise in senior government positions, resulting in the underappreciation of the full potential of certain available solutions in critical areas.This gap in leadership limits the ability to make strategic decisions that could enhance technological integration. Secondly, deep-rooted issues with public sector procurement processes significantly impede progress. There has been a tendency to select the largest organisations for major digital programmes and to opt for ‘off-the-shelf’ solutions that do not adequately meet specific needs. This has resulted in a reliance on outdated technology, creating a situation where government technology is now greatly behind the times and has led to massive technical debt.”

Recommendations for Modernisation

Foreshew-Cain emphasised the urgent need for reform in procurement frameworks: “Existing procurement frameworks must be thoroughly reviewed and updated to prevent the selection of large organisations solely based on their scale or reputation. By inviting more niche technical experts to collaborate on projects, the government can become more proactive in identifying its technology requirements, ultimately attracting cutting-edge skills and innovative solutions to the public sector.”

A Call for Comprehensive Change

The expansion of the Department for Science, Innovation and Transport (DSIT) is seen as a positive development, but comprehensive reforms are necessary to ensure long-term success. “AI and other emerging technologies will play a crucial role in future governance. Therefore, the government must modernise existing technological stacks to facilitate transformation and bring in individuals equipped to lead this change,” Foreshew-Cain concluded. He urged leaders to recognise the importance of investing in technology and skills to meet the demands of a rapidly evolving digital landscape.