Upskilling AI knowledge in the public sector: from curiosity to confidence

The public sector AI paradox

Our research showed that most organisations are either exploring AI or actively planning for it, yet very few feel confident in their knowledge (with 87% of housing organisations having low AI knowledge). This creates a familiar paradox: AI is seen as essential, but also risky. Concerns around data protection, ethics, cost and compliance often stall progress before it truly begins. 

Across the public sector, this is understandable. Services are data-heavy, highly regulated, and deeply people-focused. Introducing AI without the right understanding can feel like opening the door to unnecessary risk. But avoiding AI altogether brings its own risks; inefficiency, staff burnout, and missed opportunities to improve outcomes for citizens. 

Why AI skills gaps matter more than the technology

One of the strongest themes from our research was that AI challenges are rarely about the tools themselves. They’re about people.

A lack of AI knowledge impacts everything:

• Leaders struggle to make informed decisions
• Teams lack confidence to use AI responsibly
• Governance and policies remain underdeveloped
• Risks feel larger than they actually are

Without upskilling, AI adoption becomes fragmented. Individuals experiment in isolation, often without guidance, while organisations lose oversight and consistency. This is where skills development becomes a foundation, not a “nice to have”.

Start with AI literacy, not data science

Upskilling AI knowledge doesn’t mean turning public sector teams into technical specialists. In fact, the most effective starting point is AI literacy.

AI literacy focuses on helping people understand what AI is, how it’s being used today, where its limitations are, and what responsible use looks like in practice. This empowers staff to ask better questions, spot potential risks, and use AI tools confidently within agreed boundaries.

For the public sector, this includes understanding:

• Data protection and privacy implications
• Ethical and lawful use of AI
• Bias and transparency risks
• When human oversight is essential

When staff understand these fundamentals, AI stops feeling like a black box and starts becoming a practical tool.

Build confidence through governance and guidance

Our research highlighted that many organisations lack clear AI policies, acceptable use guidelines, or strategies.

Upskilling should go hand-in-hand with governance. Clear frameworks give people confidence to innovate safely. They answer questions like:

• What AI tools can we use?
• What data should never be shared?
• Who is accountable for AI decisions?

Rather than slowing progress, good governance accelerates it by removing uncertainty and building trust internally and externally.

Partnerships close the gap faster 

The public sector doesn’t need to navigate AI alone. Working with experienced partners helps organisations avoid common pitfalls, learn from what’s already working elsewhere, and focus investment where it matters most. 

We support public sector bodies with a range of AI and innovation services that help accelerate AI understanding and adoption in practical, risk-aware ways. Whether it’s defining an AI strategy and roadmap, assessing readiness for AI tools, or implementing solutions like Copilot for Microsoft 365 and Azure AI-based assistants, our specialists help you understand AI and embed capability where it’s needed most.  

Upskilling is faster, safer and more effective when it’s supported by real-world experience rather than trial and error. And that’s the advantage of working with experienced partners: you gain not just technology, but guidance, governance frameworks, and capability-building support that create lasting impact.