A discussion around how districts are currently buying AI tools, and how AI companies can position themselves to be successful with AI services RFP’s.
AI in Education Procurement: What Districts Are Really Looking For
In just the past six months, more than 850 school districts have collectively spent over $5 million on AI tools. Yet only a handful of those districts have issued formal RFPs to procure AI services. The fact that spending is happening in channels outside of formal procurement tells us something important about what districts are prioritizing—and where many edtech companies are missing the memo.
The Grassroots Reality
The most significant AI adoption in K-12 isn’t happening in boardrooms or through traditional procurement. It’s happening in classrooms, one teacher subscription at a time.
Educators are discovering AI tools on their own, testing them with students, and then advocating internally for broader adoption. Reports suggest that when school districts have allocated funding for AI tools, these decisions often follow requests from classroom teachers rather than top-down directives. This pattern is repeating in districts large and small.
What does this signal? Well, districts are leaning in to support their teachers and trust their staff’s judgment. However, districts are still not quite ready (yet) to formally vet and adopt AI tools at scale.
What does this mean for you as a vendor? Right now, product-led growth matters more than enterprise sales pitches. Focus on getting your tool into teachers’ hands, and they will soon become your internal champions.
It is also an opportunity for AI companies to provide guidance to districts on structuring the AI Services RFP. Districts must, at a minimum, build toward ethical guardrails, robust privacy standards, and “human-in-the-loop” requirements for any high-stakes applications. Vendors who help shape those frameworks position themselves as trusted partners before formal procurement even begins.
A Patchwork of Policies
While adoption rates have taken off, policy is scrambling to catch up. As of mid-2025, more than half of U.S. states had released substantive AI guidance for schools. They are releasing everything from model policies and ethical frameworks to official reports on how AI should be supervised in public education.
Some states are going even further. Ohio now requires every public district to develop, approve, and publish a comprehensive AI policy by July 2026. States like Georgia and Louisiana have implemented tiered systems that categorize AI uses as prohibited, permitted, or encouraged. California and Texas are running regulatory sandbox pilots to test tools before wider deployment.
Yet despite these actions at the state level, districts are still mired in confusion. Nearly half of teachers, principals, and district leaders say their school or district lacks an AI policy, and another 16% report that existing policies don’t provide meaningful guardrails. This disconnect creates both risk and opportunity for vendors positioned to help districts navigate the complexity of AI integration.
What Districts Actually Want in RFPs
When districts do issue formal solicitations for AI tools, what are they looking for? Based on recent RFP language we see at RFP SchoolWatch, and in interviews with procurement officers, four priorities emerge.
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Transparency about AI use.
Districts want to know not just what your product does, but how your company uses AI internally. This includes whether you used it to draft your RFP response. They're not opposed to AI; they just want disclosure and assurance that a human review occurred. The last thing you need is to get to the contracting phase and realize your AI tool hallucinated about your product's capabilities. -
Evidence-based methodologies.
RFPs now require proof that the tools actually improve outcomes, along with teacher-training components and clear alignment with existing district goals. Don't be surprised to see outcomes-based contract structures either. -
Compliance frameworks.
FERPA and COPPA compliance remain non-negotiable, but the bar is rising. Policy advocates are pushing for a federal AI EdTech certification program that would require vendors to meet robust standards around safety, transparency, and pedagogical soundness before accessing federal education dollars. -
Budget consciousness.
Districts face enrollment declines and tightening budgets. Many AI tools that launched as free are now moving to paid models, forcing hard choices. Your value proposition must be crystal clear.
What This Means for EdTech Companies
If you’re building AI tools for education, here’s how to position for success:
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Build for individual adoption first.
Enterprise deals will follow teacher demand, not the other way around. -
Get ahead of state mandates.
Don't wait for districts to ask for compliance documentation. Create it proactively and align your product with emerging state frameworks. -
Lead with transparency.
Disclose how your company uses AI in both product development and sales processes. Build visible "human-in-the-loop" features that give educators control. -
Prove pedagogical value.
Evidence-based outcomes will separate winners from also-rans. Include training and implementation support as core offerings, not upsells. -
Price for sustainability.
Offer clear ROI calculations and tiered pricing that scales with district needs and budgets.
Districts are actively seeking AI solutions, and the market is moving fast. But as state policies formalize and procurement processes mature, the barrier to entry will rise. Companies that build trust with teachers and bake compliance into their products now will be the ones winning contracts when the RFPs begin to roll out.
