AI Transformation in Education: Practical First Steps

Independent schools and education organizations are under real pressure to do something about AI. Boards are asking. Faculty are experimenting. Families have opinions. Marketing material from every edtech vendor in the sector is in the inbox. The pressure to act is real, and it's increasing.

Most of what's being recommended in response is the wrong place to start. AI policies for students, AI literacy programs for faculty, vendor pilots for student-facing tools. Those will all matter eventually. None of them are the right first move for a school's leadership team.

Here's where the practical first steps actually are, and the order they should happen in. This is the work I do with heads of school and boards on AI transformation, and it's the work that produces durable change rather than a busy year of pilots that don't go anywhere.

Step one: develop institutional question discipline

The single most valuable capability a school can develop in the AI era isn't AI literacy. It's the discipline of asking the right question before reaching for the model. AI is extraordinarily good at producing answers. It is much less good at noticing when the question is wrong.

Start with the senior leadership team. Build the practice of pausing on important decisions long enough to ask: what's actually the question we're trying to answer here? What would success look like for the family, not just for the school? Are we solving the real problem, or the convenient one?

This is unglamorous work. It produces no press release. It is also the foundation on which every other AI move stands or falls.

Step two: get a plain-spoken read on where AI now makes new things possible

The leadership team needs an honest, school-specific read on where AI now meaningfully changes the cost or shape of executing the school's work. Not a generic 'AI is going to transform education' presentation. A specific answer to the question: in our school, given our current operating model, what becomes 30-50% cheaper, faster, or different over the next 24 months?

The honest answer often surprises people. The biggest near-term shifts are usually in operations and family-facing communications, not in the classroom. The business office, admissions, advancement, and the internal communications layer are where most schools will feel the first significant operating-model effects.

Step three: redesign the family experience the AI era now allows

If AI now makes it possible to deliver a calmer, clearer, more personalized family experience at significantly lower cost, that's a strategic move with real competitive implications. Schools that do this work in the next two to three years will pull ahead of schools that don't.

This isn't about adding chatbots to the website. It's about rethinking the workflows that families actually experience: admissions communications, billing, financial assistance, transitions, parent communications. Where is friction high today, and where can the school replace forms-and-emails with something that genuinely respects the family's time and attention?

This work overlaps heavily with the Independent School Reimagining engagement I run. It's strategic work, not a technology project.

Step four: build the governance and risk frame the board needs

Boards need a credible read on AI risk: data privacy, vendor risk, faculty and student use, intellectual property, reputational exposure, and the governance posture the school is taking. They also need a clear statement of where the school is going to lean in versus hold back.

This doesn't have to be a hundred-page policy. It does have to exist, and it has to be revisited at least annually as the underlying technology shifts. A school operating without an explicit AI governance posture in 2026 is taking on more risk than it should be.

Step five: faculty AI literacy, on a strategic frame

This is where most schools want to start. It's actually step five for a reason: faculty AI literacy work that isn't anchored in the school's broader strategic posture tends to produce a year of enthusiastic experimentation with no institutional accumulation. Better to build the strategic frame first and then run the literacy work inside it.

The framing matters. The goal isn't to make every faculty member an AI power user. It's to develop genuine institutional capacity to make good educational decisions about when and how AI shows up in the learning experience.

What to skip (for now)

Most schools should be much more selective about edtech AI pilots in the near term than vendors are encouraging. The student-facing AI products in market will be substantially better in twelve months than they are today, and the institutional cost of a failed pilot is high. Be patient. Run the strategic work first.

The first conversation

If you're a head of school or board chair sitting with the question of where to start, the first conversation isn't about tools. It's about whether the leadership team is ready to do the strategic work that has to come before the tooling decisions matter. That's the conversation worth having now.