Can AI Really Help Run a Nursery? A Setting Owner's Honest Take

Can AI Really Help Run a Nursery? A Setting Owner's Honest Take

I run a childcare setting. I’m also an operations manager and DSL, so I know the work that sits around caring for children: HR, parent communication, admin, missed calls and making sure we’re ready for inspection.

That’s the work I’ve used AI to help with in my own setting. Not because AI understands children better than practitioners, and not because it can take responsibility off my shoulders. It doesn’t. But it can help with some of the jobs that take time away from the important work.

My honest answer is: yes, AI can help run a nursery, if you keep it in the role of an assistant, not the person in charge.

Start with the jobs around childcare

When you’re running a small nursery or preschool, the list of jobs can feel endless. You might be sorting a rota, answering a parent, following up a missed call, preparing a staff meeting and trying to keep social media up to date. All in the same afternoon.

AI is most useful to me when it helps get a first draft or a starting point on the page. For example, I can use it to help organise a list of tasks, draft a message, create a meeting agenda or turn a general idea into a checklist. Then I review it, correct it and make sure it fits our setting.

That review matters. AI can be confidently wrong, miss a detail or produce something that sounds polished but doesn’t match what’s actually happening. It can save me time getting started; it can’t take responsibility for the final version.

HR: a helpful first draft, not a hiring decision

HR takes a lot of care, especially in a small setting where the owner or manager may be handling it themselves. AI can help draft a job advert, structure interview questions or create a general induction checklist. It can also help turn a topic into a clear outline for a staff discussion or training session.

But it shouldn’t decide who to hire, judge a staff member’s suitability or make decisions about performance. Those decisions need people who understand the role, the person and the setting. And any HR material still needs to be checked against your own policies and current requirements.

A sensible test is: Would I be comfortable explaining how this decision was made, without saying “the AI told me”? If the answer is no, keep the decision with a human.

Social media and advertising: less staring at a blank page

I’ve also found AI useful for getting unstuck with social media and advertising. It can suggest a few ways to explain an activity, draft a caption or help me think of a clear response to a common enquiry.

That doesn’t mean I publish whatever it gives me. I check that it’s accurate, sounds like us and respects children’s privacy. I won’t share identifiable information about a child or family just to get a better caption. And I don’t use AI to make promises about the setting that I can’t stand behind.

The point isn’t to post more for the sake of it. It’s to make these tasks more manageable when they’re one more responsibility in a busy week.

Missed calls: a small problem with a real cost

A missed call can mean a parent’s question goes unanswered or a prospective family doesn’t hear back promptly. AI-supported tools and processes can help with capturing enquiries, organising follow-ups and drafting a response for someone to check.

For me, the useful question isn’t “Can AI answer the phone?” It’s “Do we have a reliable way to know who called, what they need and who will follow up?” The answer might involve an approved call-handling tool, a shared log or a simple reminder process. Choose something that works for your setting and make sure a person checks what’s been recorded before acting on it.

Ofsted readiness: organise what you already do

AI can help me structure a checklist, plan a policy review schedule or turn a broad improvement priority into manageable actions. It can help me spot where I may need to find information or follow something up.

But it cannot make a setting ready for inspection by producing neat documents. Good practice comes from what happens day to day: how children are cared for, how staff understand their responsibilities and how leaders respond when something needs attention. Never ask AI to invent evidence, write up events that didn’t happen or decide whether a safeguarding concern matters.

Ofsted has published guidance on how it looks at AI during inspection and regulation. The practical message for me is that AI doesn’t replace leadership or good practice. If you use it, think about its effect on children, staff, safety and information, and be prepared to explain your approach.

What AI should never take off your hands

As a DSL, I’m particularly clear about this: AI must not make safeguarding decisions. It should not assess a disclosure, decide whether to make a referral or determine that a concern can be dismissed. Follow your setting’s safeguarding procedures and involve the DSL and relevant professionals. A chatbot is not a safeguarding professional.

The same principle applies to decisions about a child’s care, development or additional needs. AI might help a practitioner prepare general questions or think of activity ideas, but it doesn’t know the child as the people who care for them do. It can’t observe the child in context, understand a family’s circumstances or take professional responsibility.

There’s another boundary I treat seriously: children’s and families’ information. Don’t paste names, photos, health details, SEND information, attendance records, incident notes or safeguarding details into an unapproved AI tool. Even information without a name might identify a child when combined with other details. Use generic or properly anonymised examples instead, and check your provider’s data-protection arrangements before using a tool for work.

The ICO’s guidance on AI and data protection is a useful starting point for understanding accountability and governance. If a proposed use involves personal data or could affect children, don’t assume it’s safe because it’s convenient. Get the right data-protection advice and assessment first.

How I’d try AI in a small setting

You don’t need to introduce lots of tools at once. Start with one low-risk, repetitive task, for example, drafting a general newsletter from information you’ve already checked, or creating an agenda for a staff meeting. Don’t include confidential details. Ask a staff member to review the result before it’s used.

Then ask three simple questions:

1. Did this genuinely save time?
2. Was the result accurate and appropriate after checking?
3. Did it make our work better, or just create another thing to manage?

If it didn’t help, stop or change the process. If it did, write down who can use the tool, what information must never go into it, who checks the output and what to do if something goes wrong. Keep reviewing those rules as your tools and needs change.

AI is not magic, and it isn’t a substitute for good management. It can make a useful difference when it takes friction out of routine work and leaves people more time and attention for children, families and staff.

That’s the approach I take as a setting owner: use the tool where it helps, check its work and keep responsibility with people. At EYReady, that’s the idea behind: “You take care of the children. I'll help with everything else.”