Pilot Partnerships

A focused starting point for districts ready to explore AI with structure.

Pilot partnerships help schools move from curiosity to a credible implementation plan without jumping straight into a long-term engagement.

Purpose

Designed to provide immediate value and a clear path forward.

Immediate value

Provide immediate value without requiring a long-term commitment.

Leadership clarity

Help leadership teams understand their current AI readiness.

Trust and next steps

Establish trust, demonstrate the Solution Design Model in practice, and create a clear next-step implementation roadmap.

Solution Design Model

Analyze district goals, concerns, policies, and current AI tool usage.

Identify instructional gaps, risk areas, and opportunities for impact.

Create a customized AI implementation roadmap tailored to the district.

Support educators through coaching, professional learning, and leadership advising.

Continuously refine strategy as technology, staff capacity, and student needs change.

Best fit for

  • Districts seeking a structured entry point into AI adoption
  • Leaders balancing innovation, policy, equity, and academic integrity
  • Teams that want a partner who understands both systems and classrooms

Typical District Partnership

A school-year implementation cycle built around the academic calendar.

To help districts clearly understand how services translate into sustained impact, partnerships are structured around a predictable annual cycle aligned to the school year.

Annual District Partnership Cycle
Summer Planning & Alignment
Fall Launch & Capacity Building
Winter Refinement & Expansion
Spring Evaluation & Future Planning

Summer

Planning & Alignment - Discover + Diagnose

  • Leadership discovery meetings and readiness conversations
  • Review of current AI tools, policies, and instructional priorities
  • Development of implementation roadmap
  • Initial policy or guideline drafting
  • Leadership vision-setting or kickoff presentation

Outcome: Clear district direction before the school year begins.

Fall

Launch & Capacity Building - Design + Early Deploy

  • Opening professional development sessions
  • Teacher AI literacy training
  • Department or PLC coaching cycles begin
  • Classroom pilot implementation support
  • Ongoing leadership advising

Outcome: Teachers begin safe, structured classroom implementation.

Winter

Refinement & Expansion - Deploy

  • Follow-up coaching and targeted workshops
  • Assessment and workflow redesign support
  • Policy refinement based on real classroom use
  • Identification of teacher leaders and internal champions

Outcome: Implementation moves from experimentation to consistency.

Spring

Evaluation & Future Planning - Evolve

  • Implementation review and impact reflection
  • Leadership strategy sessions for next-year priorities
  • Planning for new staff onboarding and expansion
  • Recommendations for curriculum and literacy advancement

Outcome: District transitions from adoption to sustainable practice.

This recurring cycle encourages long-term partnership and continuous adaptation as AI technologies and instructional needs evolve.