AI is already part of how many schools operate, even when it isn’t labelled as such. Systems used for safeguarding, behaviour monitoring, assessment and planning increasingly rely on AI-driven processes to support decision-making and manage workload.

As these technologies become more embedded, senior leadership teams (SLTs) are expected to provide clear oversight. For schools using the Everything ICT DfE-approved procurement framework, many of the baseline compliance checks are already in place. Even so, leadership understanding remains essential. AI literacy enables SLTs to make informed decisions, maintain accountability and ensure AI use aligns with statutory responsibilities and existing governance processes.

What AI literacy means at leadership level

AI literacy for SLTs is not about technical knowledge or operational detail. It is about understanding AI well enough to govern its use.

At leadership level, this means being able to:

• Understand what AI tools are designed to do, and where their limits lie
• Assess how data is collected, processed and stored
• Recognise that AI outputs may be inaccurate, biased or incomplete
• Retain clear accountability for decisions supported by AI

This understanding supports effective oversight and helps ensure decisions are based on risk, suitability and impact rather than convenience or efficiency alone.

Why informal AI use creates risk (and what SLTs can do about it)

One of the most significant challenges for schools is that AI adoption often happens informally. Staff may introduce tools to solve immediate problems or reduce workload, without realising the wider implications for data protection, safeguarding or consistency.

When AI use is informal or undocumented, schools can lose visibility of:

• Which tools are being used and for what purpose
• Whether those tools meet compliance requirements
• How outputs are influencing professional judgement

For SLTs, the priority is maintaining oversight. This means ensuring leadership teams have a clear view of AI use across the school, understand how tools support day-to-day activity, and can intervene if a system presents risk. Establishing simple approval routes and shared expectations helps ensure AI adoption remains intentional and accountable, rather than fragmented or reactive.

Staff understanding and professional judgement

AI tools can be useful, but they can also change how staff work. Without clear guidance, use can quickly become inconsistent, with different assumptions forming across teams. Issues are rarely the result of deliberate misuse. They are often linked to uncertainty or over-confidence in what AI outputs represent, particularly when:

• Staff are unclear about acceptable use
• Outputs are relied on without sufficient review
• AI is treated as authoritative rather than assistive

SLTs should expect staff to understand:

• When AI can appropriately support workload
• Why outputs must always be reviewed and contextualised
• That professional judgement remains central

Clear, consistent messaging from leadership helps staff use AI appropriately and confidently, without feeling either restricted or left to make decisions alone.

Policy development that reflects real school practice

Policies on the use of AI are increasingly common, but their effectiveness depends on how closely they reflect real practice. Policies that are overly technical or detached from day-to-day activities are unlikely to influence behaviour.

A practical AI policy should clarify:

• What types of AI tools are permitted
• When approval is required
• How data must be handled
• How concerns should be raised

Leaders with a solid grasp of AI are better placed to keep policies proportionate and aligned with safeguarding, data protection and acceptable use arrangements.

We’ve brought these areas together in our AI Policy – Key Considerations for schools and MATs guide, designed to help SLTs review and strengthen their approach.

Understanding risk without overreacting

AI can introduce genuine risks, including bias, inaccurate outputs, data security concerns and over-dependence. These risks are best managed through governance, rather than avoided through blanket restrictions.

Risk-aware leadership focuses on:

• Ensuring appropriate human oversight
• Reviewing supplier assurances and contractual terms
• Reassessing tools as they develop or change

This approach allows schools to benefit from AI-supported systems while maintaining transparency, accountability and trust.

What this means for school leadership

AI literacy helps SLTs keep a clear view of how AI is being used as it becomes more embedded in everyday school operations. It supports better decision-making, more consistent practice and stronger governance without adding unnecessary complexity.

Our DfE-approved framework already gives you a compliant route to market for ICT solutions, including those that incorporate AI. Used alongside informed leadership, this helps ensure AI adoption is deliberate, well governed and aligned with your statutory and ethical responsibilities.

If AI tools are already in use across your school or trust, it’s worth taking a moment to review how they’re being chosen and overseen. We provide a straightforward way to bring that activity into a clear, compliant structure, while still allowing schools to benefit from new technologies.