Innovate with AI. Without putting your students at risk.

02. Impact

What's Possible. You are a...

• Superintendent whose board is asking "what is our AI policy?"

  District AI Governance Framework — Full policy suite adopted by board in 60 days

  The Challenge: After ChatGPT became a household name, a district's board demanded an AI policy before the next board meeting. The superintendent had no framework, no legal guidance, and no internal capacity to write one in time.

  The Solution: We developed a complete AI governance package in 60 days: an AI acceptable use policy for students and staff, an EdTech vendor vetting checklist, a classroom AI guidelines document, and a board presentation that achieved unanimous adoption on the first vote.

  Timeline: Regulatory Landscape Review → Stakeholder Input Sessions → Policy Draft → Legal Review → Board Presentation & Adoption

• Director of Technology managing an out-of-control EdTech vendor landscape

  EdTech Privacy Vetting Program — Identified 14 non-compliant vendor apps in active use

  The Challenge: A district with 40+ active EdTech vendor contracts had never conducted systematic privacy reviews. A state audit was approaching, and internal IT staff estimated that at least a third of active tools may not meet FERPA requirements.

  The Solution: We conducted a full EdTech inventory, completed privacy assessments using a custom rubric aligned to FERPA, COPPA, and the district's data governance policy, and produced a remediation roadmap: 14 tools required contract renegotiation, 6 required immediate discontinuation.

  Timeline: Vendor Inventory → Privacy Rubric Development → Rapid Assessment (40 Tools) → Risk-Tiered Remediation Plan → Policy Integration

• Chief Academic Officer trying to enable responsible AI use by teachers

  AI in the Classroom Guidelines — Enabled ethical AI use for 1,200 teachers district-wide

  The Challenge: Teachers across a large district were using AI tools in widely varied, uncoordinated ways. Some were using AI appropriately as a planning tool; others were generating student-facing content without review. No guidelines existed.

  The Solution: We co-developed a teacher AI use framework with curriculum and instructional technology staff, defining acceptable use cases, academic integrity boundaries, bias review requirements, and a tiered disclosure policy for AI-generated instructional materials.

  Timeline: Teacher AI Practice Survey → Framework Co-Development → Academic Integrity Integration → PD Rollout → Ongoing Review Cycle

Solutions

Here's how we fix it.

• District AI Governance Framework

  Comprehensive AI policy and governance structures that protect students and enable responsible innovation.

  • AI Acceptable Use Policy (student & staff)
  • AI governance committee structure design
  • Annual AI review and update cycle
  • Board training and policy adoption support

• Student Data Governance

  End-to-end data governance frameworks that ensure all student data is handled lawfully and ethically.

  • FERPA-aligned data governance policy
  • COPPA compliance for K-8 digital tools
  • Data sharing agreement templates
  • Student privacy rights notification frameworks

• EdTech Vendor Risk Assessment

  Systematic vetting of every AI and EdTech tool used by your district before it touches student data.

  • Privacy rubric development and application
  • Vendor questionnaire and documentation review
  • Risk-tiered approval workflows
  • Ongoing compliance monitoring

• AI Ethics Guidelines

  Practical ethical frameworks for AI use in the classroom and district administration.

  • Bias identification and mitigation protocols
  • AI transparency and disclosure requirements
  • Equity impact assessment for AI tools
  • Academic integrity boundaries for AI

• Incident Response Planning

  Data breach and AI incident response plans that meet legal notification requirements and protect district reputation.

  • FERPA breach notification protocols
  • AI failure and bias incident response
  • Parent notification templates
  • Post-incident analysis frameworks

• Regulatory Monitoring

  Keeping your AI governance framework current as state and federal regulations evolve rapidly.

  • Quarterly regulatory update briefings
  • State AI education legislation tracking
  • Policy amendment and update support
  • Annual full governance review

Process

Our process.

1. 01 — Regulatory & Risk Audit — We assess your current AI and EdTech landscape against FERPA, COPPA, and applicable state regulations to identify gaps and vulnerabilities.
2. 02 — Policy Architecture — We design a governance framework tailored to your district size, technology maturity, and community values, not a one-size-fits-all template.
3. 03 — Stakeholder Adoption — We present policies to board, staff, and community with the context and training needed for confident adoption and implementation.
4. 04 — Ongoing Governance — We monitor regulatory changes, update your frameworks, and provide periodic compliance reviews to keep your governance current.

Why Us

Why districts choose us.

• Education Law Fluency — We know FERPA, COPPA, and state student privacy laws inside out. Our policies are built on regulatory substance, not generic privacy templates.
• Vendor Independence — We have no financial relationships with EdTech vendors. Our assessments are unbiased and always in the district's interest.
• Board-Ready Communication — We write and present policies in language that board members and community stakeholders can understand, ensuring high adoption rates.
• Rapid Response Capability — We can produce a compliant AI policy framework in as little as two weeks for districts facing urgent board or audit timelines.
• Living Frameworks — AI governance is not a one-time project. We design for continuous evolution and provide ongoing support as the regulatory landscape changes.