Building AI-ready government: Q&A with Sparta Global CEO David Rai

Sparta Global has become a key partner to UK government departments as they navigate the rapid rise of AI and digital transformation. With demand growing for AI-ready talent and stronger data foundations, founder and CEO David Rai (pictured) discusses how the public sector can build sustainable in-house capability, close skills gaps and adopt AI responsibly.

Sparta Global has a strong presence in the public sector – how do you currently support government organisations, and what challenges are you helping them navigate in today’s digital landscape?

We currently partner with 15+ UK public sector departments and agencies, supporting critical programmes and national infrastructure through our world-leading Digital, Data, AI, and Change capability services. With over a decade of delivery in the space, we are helping them to strengthen workforce capability, reduce hiring risk and build resilient Tech, Change, Data and AI people pipelines.

Through the Sparta Global Technology and AI institute, we develop AI-native professionals across multiple disciplines, alongside providing training and development programmes that help government organisations to build long-term, in-house capability through upskilling and senior, proof of concept AI teams.

As AI adoption accelerates, how is Sparta Global evolving its training and talent solutions to help build AI capability within the public sector?

For more than a decade, Sparta Global’s Technology & AI Institute has supported organisations across the public and private sector to build the skills that power sustainable performance across a host of disciplines. In an era where technological innovation defines competitive advantage, this remains the engine we use to equip our clients with the expertise, people, and project capability they need to stay ahead.

Unlike traditional education structures, we can immediately shift and change to adapt to specific industrial or client needs. Our Tech and AI Institute faculties are managed by an internal education team, with all training built and delivered by an in-house team of trainers. With this expertise, scale, AI excellence, and a deep commitment to social impact, we help organisations to not only adapt to change but lead it.

With specialist training spanning technology, change, data & AI we are helping the public sector to; build capability through AI native Spartan consultants ready to excel in tech driven environments, upskill and reskill its workforce with industry-aligned programmes in AI, data, and modern technology platforms and access senior expertise and delivery pods to provide AI oversight, governance, and transformation support.

At the same time, how is Sparta Global ensuring it stays ahead of the curve and equips both clients and consultants with the latest skills and knowledge?

Sparta Global stays ahead by continuously evolving its training to reflect the latest developments in AI, combining technical skills with a strong focus on responsible use and real-world application. Through our Technology & AI Institute and hands-on learning model, our Spartan consultants gain practical experience from day one, including working with human-in-the-loop approaches.

At the same time, through our tailored upskilling programmes, we are helping existing teams in the public sector to build AI literacy and adopt new technologies effectively too. This dual focus ensures both AI-native consultants and clients in public bodies are equipped with the current skills and knowledge needed to use AI confidently and responsibly.

There’s growing discussion around the need for AI-native professionals in government. Why is this important, and how does the ‘human-in-the-loop’ approach contribute to responsible and effective AI adoption?

The need for AI-native professionals in government is critical. AI is increasingly embedded in public decision-making, and without people who understand both the technology and policy context, there is a risk of poor oversight, biased outcomes, and misaligned systems. AI-native professionals bring a unique understanding of technology and its practical use in the workplace, helping to ensure that AI tools are used effectively, ethically, and in line with public values, while also enabling governments to critically evaluate and manage external vendors and technologies.

The human-in-the-loop approach strengthens this by ensuring that humans remain actively involved in AI-driven processes, particularly in decision-making. This allows for oversight, accountability, and the application of ethical judgment, especially in complex or sensitive cases. Together, AI-native expertise and human oversight create a balanced approach where AI enhances efficiency and scale, while humans ensure responsibility, fairness, and public trust.

Many organisations struggle with data readiness – how critical is it for government bodies to address data quality and ‘data debt’ before implementing AI, and what role do data professionals play in this process?

There is a persistent gap between AI expectations and its realised organisational value – and this is largely because organisations are attempting to integrate AI into businesses with a poor data foundation. Data debt, though often invisible, puts significant limitations on AI performance and success. 

Data debt refers to the accumulation of poor data quality, inconsistent standards and legacy system fragmentation. In practice, it can affect government bodies in several ways: unstructured data lakes without governance, systems containing duplicate or incorrect customer records, or teams that follow inconsistent standards when entering and using data. Like technical debt, it compounds over time, increasing operational costs and risks if not addressed before deploying AI technologies.

As data debt is a root barrier to AI success, there must be an immediate executive focus on data strategy and quality to unlock its value. It is data analysts and scientists who will bring the skill and understanding to carry out a sustainable data strategy for an AI-driven future. They can assess your baseline data quality and quantify its business impact, prioritise where AI will drive the greatest business value, and focus data remediation in these areas first to modernise your architecture where it matters.

From governance to security, AI presents both opportunities and risks. How can public sector organisations leverage AI responsibly while also improving oversight, and what role does AI literacy across the civil service play in achieving this?

Public sector organisations can leverage AI responsibly by embedding strong governance, clear accountability, and robust oversight into every stage of deployment to ensure systems are transparent, auditable, and aligned with public values. This includes using approaches like human-in-the-loop to maintain judgment and control, alongside rigorous risk assessment, data governance, and continuous monitoring to mitigate bias, errors, and security threats.

AI literacy across the civil service is critical to making this work. When officials understand how AI systems function – their strengths, limitations, and risks – they are better equipped to procure, manage, and challenge them effectively. This not only improves oversight and reduces reliance on external vendors, but also ensures AI is used in ways that are ethical, secure, and genuinely beneficial to the public.

Through our Skills Accelerator programme, we help businesses to build this critical AI literacy layer – providing significant upskilling programmes across workforces large and small. We build pre-training resources, custom training programmes, and can offer post-training support clinics to build sustainable AI capability.