From Vision to Innovation: Aligning District Strategic Planning with Technology Leadership
From Vision to Innovation: Aligning District Strategic Planning with Technology Leadership
Superintendent Krestin Bahr and Director of Research & Assessment James Cantonwine presented this keynote at the School Administrators of Montana (SAM) Conference on March 23, 2026. The presentation addresses how small and rural districts can turn their size into a strategic advantage when adopting AI and emerging technology — moving beyond efficiency gains toward genuine innovation anchored to district strategic priorities.
Key Takeaways:
- The Small-District Advantage: Shorter decision chains, higher relational trust, and faster iteration cycles mean small districts can move from idea to implementation without months of committee work. Constraints drive creativity rather than limit progress.
- AI Fills Roles the Budget Can't: AI can serve as an on-demand instructional coach, translation service, data analyst, and feedback partner — roles small districts often can't afford to staff but desperately need.
- The Efficiency Plateau is Real: The most common AI adoption pattern in education is teachers discovering a tool, settling into one or two time-saving features, and never moving beyond efficiency. Without leadership support, adoption stalls at "doing the same things faster."
- Three Teachers, Three Patterns: The presentation identifies three distinct adoption archetypes — the Efficiency Plateau (same tasks, just faster), New Capability (doing something previously impossible, like real-time multilingual support), and Unscalable Innovation (a teacher so far ahead the system can't keep up).
- The Leadership Triad: Effective AI governance requires three functions — the superintendent as vision-holder, technology leadership as architect and risk manager, and research/assessment as the voice of evidence. In small districts, one person often fills all three roles, making the framework even more critical.
- Three Governance Principles: Anchor decisions to strategic priorities (not vendor pitches or fear), test and measure before scaling, and make adult AI use visible and normalized rather than hidden.
- Build, Don't Just Buy: Tools like Claude Code enable districts to build exactly what they need at a fraction of vendor costs. PSD's LessonLens — a private, AI-powered instructional coaching tool — was built by a non-coder for $200 with ongoing costs under $2 per teacher.
Actionable Insights:
- Make the Invisible Visible: Have an honest conversation with staff about who's using AI and for what. Naming it and normalizing it is where trust begins.
- Assign the Research Role: Even 10% of someone's time dedicated to scanning, vetting, and recommending AI tools changes the dynamic from reactive to strategic. Without this function, districts face either paralysis (nothing adopted) or chaos (everything adopted).
- Ask the Right Question: For your top strategic priority, ask whether AI could help you do something you currently can't do — not just do what you already do, faster. That distinction separates innovation from mere efficiency.
- Governance Before Tools: The principal observation tool example illustrates choosing augmentation over automation — building a tool that makes principals better observers rather than one that writes evaluations for them. That's a leadership decision expressed as technology.
- Connect Every Tool to Strategy: The presentation maps each PSD tool (observation tool, LessonLens, multilingual AI, legislation tracker) directly to a strategic priority (academic excellence, innovation, belonging, fiscal responsibility), with a feedback loop for measuring impact.
Looking Ahead:
The presentation challenges the assumption that AI adoption requires large budgets, dedicated tech teams, or vendor partnerships. By anchoring technology decisions to strategic plans, building lightweight governance structures, and empowering internal innovators, districts of any size can move from reactive technology adoption to intentional innovation. The key shift is from asking "what tools should we buy?" to "what problems can we now solve that we couldn't before?" — and having the governance discipline to measure whether those solutions are actually changing practice and reaching students.