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AI Lab Fieldnote 1 of 9

Leadership Makes or Breaks AI Integration

Why genuine leadership investment, not just approval, consistently distinguishes AI initiatives that take root from those that stall.

Published:
Reading time:
About 16 minutes · Fall 2026 edition
Guiding question

"How can we establish a culture that encourages and supports AI integration in K-12 education, and the leadership needed to sustain it?"

Michigan Virtual

About Michigan Virtual's AI Lab

Throughout this fieldnote, you'll see references to Michigan Virtual's AI Strategists, the team behind the AI Lab who work directly with schools across Michigan as they navigate AI integration. Through partnerships, professional development, consulting, keynote presentations, and a growing collection of practical resources, the AI Strategists help educators and school leaders make thoughtful decisions about how AI fits into teaching and learning. Learn more at the AI Lab's website.

"Each district you walk into has a palpable vibe you can just feel," says Karle Delo, AI Strategist Director with Michigan Virtual, who has spent the past two years working alongside districts and Intermediate School Districts (ISDs) across Michigan. "A more professional term for this is the culture, but it is something you notice immediately, and it's in how people say hello to each other. It's in how people show up to the meeting. What does the meeting space look like?"

Reading the room before mentioning AI often separates the districts moving forward from those stalling out. Tech, budget, and timelines matter far less than investment in authentic leadership and culture, patterns Michigan Virtual's AI Strategists have observed again and again across the districts they support.

Based on conversations across seven Michigan districts and ISDs, and on patterns Michigan Virtual's AI Strategists have observed across many more, four leaders illustrate this in action:

  • The Regional Coordinator: Watched superintendents in tight budget years unanimously vote to pay for Michigan Virtual's consulting support over free, piecemeal resources.

  • The Curriculum Leader: Stepped into a leadership role when her superintendent stepped back, taking ownership of the district's AI task force, professional learning, and policy development.

  • The Assistant Superintendent: A leader candidly owned her rollout missteps alongside her wins.

  • The ISD Leader: Spent two years quietly building internal capacity before asking others to follow.

Start with a reason, not a tool

Before any of these districts talk about a tool, a policy, or a training day, they have each answered a more basic question: Why does this matter to us, specifically? Michigan Virtual's own approach is built around that question. Rather than arriving with a standard rollout plan, AI Strategists start by asking what a district already cares about, then look for ways AI can serve that interest rather than compete with it for attention. At Lapeer Community Schools, that meant tying AI training directly to an active district initiative aligned with FAME, a Michigan Department of Education (MDE) sponsored program that helps teachers collaborate and plan around the formative assessment process. Michigan Virtual's Delo worked with Lapeer's coaching team and other staff who were already leading that work, prompting them to think through how AI could support the formative-assessment training they were already doing, rather than teaching AI as a separate topic.

"Formative assessment is the focus, but there might be a tool [AI tool] to support that process."

— Karle Delo, AI Strategist Director, Michigan Virtual, on Lapeer Community Schools implementation

Michigan Virtual
The Value of Partnership

A Staged Approach That Became a Standing Partnership

Even after looking at what other districts had done, Lapeer's team found the scope of AI implementation overwhelming on their own, according to Erin Koues, the district's Software Systems Administrator. Delo helped break the work into manageable pieces, rather than tackling everything at once. From there, she also helped Lapeer stage the work in deliberate steps: a half-day baseline training session first to ensure everyone started from the same basic understanding and to establish a shared language; then an expansion into online courses, PLC groups, and teacher-requested "quick shops" as the work matured. Coaches now use AI to help teachers check whether their own assessment questions are rigorous, standards-aligned, and varied enough in depth of knowledge. Michigan Virtual presenters are still a fixture at Lapeer's PD days each August and September.

The same instinct shows up well beyond Lapeer. Muskegon Area Intermediate School District (MAISD)'s new five-year strategic plan, built with AI-assisted analysis of listening sessions across the county, doesn't mention AI once in its five goals: Partnerships, Wellbeing, Engaging Learning, Thriving Workforce, and Family & Community. AI accelerated the process of building the plan rather than becoming the point of the plan itself. St. Joseph Public Schools followed a similar logic when it introduced a new AI-focused course. District leadership framed it publicly in a November 2025 report as aligned with the district's BEAR strategic plan, and a timely response to the need for AI literacy, rather than a stand-alone initiative.

The through-line: districts that can name their own "why" for AI integration that is tied to a strategic plan, an assessment initiative, or an existing instructional priority, have something to anchor decisions to when the technology itself keeps changing. Districts chasing AI because it feels urgent, without that anchor, are more likely to drift toward the checkbox pattern described later in this piece.

What genuine engagement actually looks like

At Clare-Gladwin Regional Education Service District (RESD), the clearest leadership moment wasn't a speech or a mandate. It was a vote. Joe Trommater, Clare-Gladwin's Instructional Technology Integration Specialist and the region's REMC 5 (Regional Educational Media Center) director, walked into a first meeting with member-district superintendents and presented them with three choices, expecting them to choose the free route: piecing together resources from REMC and the Michigan Department of Education rather than paying for Michigan Virtual's outside consulting support. The member districts range widely in financial footing, some doing well, others under real strain, and getting them to agree on anything has historically been difficult.

But they voted the other way. Unanimously.

"I was actually pleasantly surprised that they went with the option that cost money. The superintendents in the room did the math and figured out what it would take to do it on our own…they said that once you divide it up among the districts, this was a very easy decision for them to make."

"That's when leadership first really showed up and said yes, we're willing to put skin in the game."

— Joe Trommater, REMC 5 Director / Instructional Technology Specialist, Clare-Gladwin RESD

That single decision, superintendents doing the math themselves rather than deferring the question, is what Trommater points to as the moment the region's AI work became real rather than aspirational. It also established a structural framework: a memorandum of understanding that spelled out each district's financial commitment and strategic AI consulting hours (both individually and for joint use), plus a governance model built on ranked-consensus voting rather than simple majority rule. Districts with very different risk tolerances and budgets stayed at the same table because no one could be steamrolled. That structure did as much to sustain participation as any single leader's enthusiasm.

Michigan Virtual
The Value of Partnership

Support Shaped Around Each District's Own Needs

Bringing districts with different resources, priorities, and levels of readiness together around AI was no small task for Clare-Gladwin. Through Michigan Virtual, the region gained access to both shared professional learning and individualized support led by Aaron Baughman, who served as an AI Strategist for Michigan Virtual (on loan from Northville Public Schools) and is now the Associate Director of Innovation & Strategic Partnerships for MASSP. Clare-Gladwin's contracted hours were split deliberately: some reserved for whole-group training across the region, the rest for one-on-one work with individual districts. Districts could use their dedicated time with Baughman however they needed, from hands-on training and strategic planning to one district bringing Baughman into its school improvement group to help develop a technology plan. His influence extended well beyond those sessions: Trommater still uses Baughman's distinction between "AI candy," flashy but low-value applications, and "AI vegetables," less exciting but more substantive uses. Trommater also credits Baughman with bringing greater attention to equity and student access than he might have otherwise. The partnership model has since attracted interest from neighboring ISDs looking to replicate the approach in their own regions.

At Lapeer Community Schools, Superintendent Matt Wandrie's leadership move was quieter than a vote, but structurally similar: he sat in on AI PD sessions alongside his own staff, and then intentionally handed the day-to-day work to someone well-equipped to run it. Michelle Bradford, Assistant Superintendent (Curriculum & Instruction), has driven the district's AI task force, professional development, and policy work ever since.

That handoff signaled something specific: what mattered wasn't Superintendent Wandrie becoming the district's AI expert. It was being visibly invested and placing clear ownership where it belonged. "He [Superintendent Matt Wandrie] uses AI, and he's very supportive. He attended the trainings when Karle (Michigan Virtual AI Strategist Director) was here, too," Bradford says. She describes him as thinking expansively about where AI could go and wanting AI coaches. In practice, he simply gives the team the go-ahead, and they run with it.

What followed was a task force that functions without requiring the superintendent to be in the room. Erin Koues, Lapeer's Software Systems Administrator, put it plainly when asked who's been driving the work: "Michelle's been driving it," she said, and then added, "in a way that everyone knows their job and what they're supposed to be working on."

That's the sustainability case: a structure that doesn't stall waiting on one person's bandwidth or technical expertise. Because ownership is clearly vested in someone empowered to use it, the work keeps moving even when the superintendent isn't necessarily the one pushing it forward.

At Muskegon Area ISD, Superintendent Randy Lindquist made a similar bet, played out over two years rather than a single moment: rather than leading every AI conversation himself, he deliberately handed the floor to others. A building principal led a discussion of new guidance with the admin team. A CTE director ran an activity showing how he personally uses Gemini. Department leaders across the ISD modeled AI tools in their own contexts before anyone else was asked to do the same.

"It's seeing different people and how they're using the tools, too, that I think has helped. It's not just 'sit and listen to a presentation,' but actually, 'here's a way it's being used practically in my job. Think about how you might be able to use that tool in your job.'"

— Randy Lindquist, Superintendent, Muskegon Area ISD

That sequencing signaled that comfort with AI needed to start with the people already in leadership roles, rather than being imposed as a mandate on everyone else at once. Lindquist prioritized getting his admin team to build their own knowledge first, on the theory that once leaders were genuinely using it themselves, that familiarity would spread naturally to their own staff and buildings.

What followed didn't require a large team. A handful of motivated, high-end users did most of the early work, not a district-wide push. That's the sustainability case here, too: a practice built on a few genuinely engaged people modeling real use, rather than on one leader's personal bandwidth or expertise, is the kind of thing that can keep running for years without burning out any single person, including Lindquist. It's also not something he describes building alone: when asked what he'd tell a superintendent wanting to move forward (or further) with AI integration work, his first recommendation is to lean on outside partners like Michigan Virtual rather than start from scratch.

Michigan Virtual
The Value of Partnership

Getting Everyone to the Same Starting Line

Across Muskegon Area ISD's buildings and departments, staff brought vastly different needs and levels of familiarity with AI. But the ISD had something working in its favor: a motivated workgroup representing those different perspectives. Partnering with Michigan Virtual AI Strategist Director Karle Delo, the group worked to turn that range of experiences and priorities into a shared approach to AI integration. Over roughly 20 contracted hours, they developed five guiding principles and a comprehensive AI guidance document addressing approved tools, data privacy, and building-level implementation. Beyond the document itself, Delo brought structured facilitation activities to the work, including one on action planning that Lindquist's team now plans to reuse at their own admin retreat. Lindquist credits the workgroup's diverse perspectives and commitment for making substantial progress in a relatively short time. Muskegon Area ISD now plans to build on that foundation by extending the approach to its member superintendents and sharing the guidance as a model other districts can adapt.

Culture: not just the person at the top

Delo adds a dimension that's easy to miss if leadership is treated as a single yes-or-no question: culture. In her experience, districts with existing goals, clear structures, and a genuine tolerance for trying things that might not work tend to be better positioned, regardless of how invested any one leader is.

Trommater sees this play out across Clare-Gladwin's five member districts, which he describes as falling into roughly three camps: districts that are protective and cautious, districts that are enthusiastic early movers, and, the largest group at an estimated three-quarters, a cautious middle that's willing but wants to see it work first. None of the three, in his telling, is the "wrong" posture. He's also candid that the region has felt pressure to look further along than it is.

Alexandra Lee, an AI Strategist who joined Michigan Virtual this summer after working at an education technology company, complicates an assumption a reader might otherwise bring to this: that smaller districts move more slowly simply because they're smaller. Her hypothesis runs the other way. "It doesn't split based on district size," she says. Big districts can be genuinely innovative with a high tolerance for risk and change, she explains, or they can be bureaucratic and slow to move. Small districts operate within the same range; their barriers tend to be capacity, time, and resources rather than size itself.

She traces the difference to the leaders themselves as much as to the district. Some people are simply more excited by change than others, she says, and a lot of it comes down to change management and risk tolerance. But she's quick to flip the framing: trying something new carries risk, sure, but so does standing still, "because it's going to be used whether or not you're choosing to." Staff and students will use AI either way. The only real choice a district has is whether its leadership engages with that.

"There are uses for AI that will make you dumber, and there are uses that will make you smarter, and you have to know the difference."

"If you're going to push back against AI, make it for something real that you have all the data on, not because somebody told you it was going to drink all the world's water."

— Joe Trommater, Clare-Gladwin RESD

Trommater has been candid, too, about resisting the urge to move faster than his region can sustain. Having watched other early-adopter efforts get burned by moving too fast, he's explicit that Clare-Gladwin is "not going to be at the bleeding edge," even when that means possibly being seen, at statewide meetings, as dragging its feet. It's a leadership posture that trades the appearance of speed for something more durable. Once the region's task force work concluded, neighboring ISDs started calling Michigan Virtual to ask how to replicate what Clare-Gladwin had built. That outside validation is what Trommater points to when he says superintendents "went from feeling behind to feeling a little bit, not a lot, but a little bit, ahead of the curve."

Genuine, imperfect leadership vs. the checkbox problem

Michigan Virtual's AI Strategists are also candid about a pattern on the other end of the spectrum: districts that go through the motions of AI adoption (a policy document, a single PD session, a mention in a newsletter) without the underlying investment to back it up. Internally, the team calls it the "checkbox" problemFootnote : activity that appears to be progress from the outside but doesn't reflect real engagement underneath. This pattern often emerges from good intentions combined with limited capacity, unclear ownership, or pressure to demonstrate quick progress. It's a pattern Michigan Virtual's AI Strategists look for most closely, since it's the hardest to see from the outside and the easiest for a district to fall into.

What's notable across these four stories is how differently the checkbox pattern shows up compared to genuine leadership. Genuine leadership doesn't mean getting everything right. It means being honest about what didn't work.

At St. Joseph Public Schools, Assistant Superintendent Amy Dirlam is candid about her district's first attempt at a district-wide AI rollout: guidance launched in August 2025, presented once at each building by the task force, and then the district largely stepped back for the semester. Reconvening the following January made clear that providing guidance wasn't enough. Staff needed reinforcement throughout the year.

"We all, as educators and leaders, have the ideas and the know-how of what needs to be done. It's the practical implementation piece."

"Nobody has all the answers yet."

— Amy Dirlam, Assistant Superintendent, St. Joseph Public Schools

Dirlam is equally direct about a gap she sees in her own leadership. Of all the groups in the district, she feels administrators have gotten the least of her direct attention, largely because limited bandwidth led her to lean on the task force as the primary carrier of the work rather than bringing building principals fully into it from the start. She addressed it by training department chairs, a strategy Michigan Virtual's Delo had specifically recommended: positioning them neither as classroom teachers nor as administrators, but as a middle layer who could model AI use in their own meetings first. It's not something she describes building in isolation, either: she credits the ongoing partnership with Michigan Virtual as part of what's made that progress possible.

"I don't ever want it to be like, 'Well, of course she would talk about that, because she's a techie,' although that is my background. But this has a curricular impact, whether we like it or not, it's a reality, and we've got to wrestle with it."

— Amy Dirlam, on why she chose not to lead the AI training herself

Michigan Virtual
The Value of Partnership

A Partnership That Evolved with the Work

Michigan Virtual's work with St. Joseph didn't end with the district's initial AI guidance and task force. As implementation progressed, new challenges called for more targeted support. In the district's second year, Michigan Virtual AI Strategist Annie Kim Sytsma began working directly with St. Joseph's English department on an issue the original task force hadn't anticipated: how Grammarly's AI features were complicating the assessment of student writing. The shift from district-wide planning to department-specific support illustrates how the partnership has evolved in step with St. Joseph's needs.

Genuine, imperfect leadership is the throughline across all four stories. None of it is about presenting a finished, polished narrative. Superintendents do the math out loud to figure out what makes the most sense; a district leader empowers his leadership team and trusts them to carry it out; an ISD superintendent quietly cedes the floor to his own staff; and an assistant superintendent names her own rollout missteps in the same breath as her wins. A checkbox is something you finish. Real leadership is something you keep doing.

What this means for your district

Leadership models the mindsets that define a school culture, and that culture directly shapes how AI lands in classrooms. Here is how these leadership principles cascade to staff and students.

  1. Presence matters more than expertise, so be visibly present even when you're not driving day-to-day. None of the leaders here is described as the district's most technical person. Lapeer's superintendent isn't running the task force, yet everyone in the district knows he's trained, using the tools, and behind the work. Staff notice when a leader is genuinely invested; modeling, learning, and making mistakes in the open helps to remove the fear of failure for staff. This can help teachers feel safe exploring AI in their lesson design, which in turn encourages students to take creative risks in the classroom.
  2. Let your culture set the pace of AI implementation. A district with a protective, cautious culture that moves carefully isn't necessarily behind. That may be the only pace it can maintain as it moves forward. Forcing rapid tech adoption onto a cautious staff creates resistance and fatigue. Matching implementation to district culture gives teachers room to build genuine confidence. In turn, students experience thoughtful, integrated learning rather than a rushed series of disconnected tech experiments.
  3. Embracing a growth mindset means treating a rocky launch as data, not a verdict, so honesty about missteps becomes a leadership asset. Dirlam's August 2025 launch didn't go as she hoped, but naming that plainly and then adjusting the following semester did more for St. Joseph's credibility than pretending the first attempt had landed. That candor is what separates real engagement from a checkbox, and it doesn't stop with leadership: teachers who see missteps treated this way stop feeling pressure to be instant experts, and pass that same permission to experiment on to their students, turning AI from a secret shortcut into a subject for transparent iteration and problem-solving.
  4. An anchor keeps decisions steady, so name your own "why" before you name a tool. Districts that tie AI to something they already care about, such as a strategic plan, an assessment initiative, or an existing instructional priority, have something to return to when the technology itself keeps shifting. That anchor also determines whether teachers and students experience AI as a coherent instructional priority or as another disconnected initiative.
  5. Governance has to survive disagreement, so build it before you need it. Clare-Gladwin's ranked-consensus voting and written MOU let districts with very different risk tolerances stay at the same table. A structure that only works when everyone already agrees isn't much of a structure.

Limitations & where we need more research

This fieldnote is honest about what it can and can't show yet:

  • Leadership is described here primarily through administrators, rather than classrooms or students. That gap runs across the whole fieldnote series, not just this one.
  • Clare-Gladwin's story comes through one regional vantage point. A future follow-up directly with one of the superintendents in that room could add another perspective on the same decision.
  • Sustained leadership is harder to capture in a single scene than a one-time decision. Muskegon's two years of steady behavior is a difference in story shape from Clare-Gladwin's vote, not a gap in the leadership itself.
  • The "checkbox" pattern comes from the AI Strategists' broader work, not from any of the seven districts interviewed for this series.
  • Being featured here isn't a ranking, and being left out isn't a judgment. The four districts in this piece were chosen to illustrate genuine leadership practices in action, not evaluated against every district Michigan Virtual works with. A district not named here isn't implied to fall into the checkbox pattern; many districts doing careful, genuine work simply aren't part of this particular story.
  • This piece doesn't fully capture capacity constraints. Time, staffing, competing initiatives, and leadership turnover (often outside a district's control) all shape what's realistic. The four districts featured here found ways to make genuine investment work within real limits, but this fieldnote doesn't yet show what that same kind of investment looks like for a district working with far less capacity.
  • Open question How does genuine leadership investment show up in student experience over time? This fieldnote can describe the adult infrastructure. It can't yet show the effect on learning.

What's next

Michigan Virtual's AI Strategists continue to work directly with district and ISD leadership teams on the leadership dimension specifically, not just policy or classroom practice. Delo is direct about what has to be true before a district can move from Investigating into Implementing at all: "There has to be the right capacity and a willingness amongst the leadership team to take that leap... A positive culture goes a long way. When people feel they can take risks and share what they're learning openly and honestly throughout the process, those are among the biggest things that need to happen for that shift to take place."

Delo points to Lapeer as a preview of what comes after the Implementing stage. A sign of real maturity, in her view, is when a district's guidance document stops being a one-and-done deliverable and becomes something continuously updated and repeatedly used, and when a growing cohort of educators start reimagining their own pedagogy and assessment strategies rather than just adopting a tool. Michigan Virtual's AI Strategists have made collecting examples of how districts are using AI to accelerate specific parts of the Integration Framework a priority for the coming year, so those examples can be shared as models for others. Delo is already thinking about the 2026-27 school year, when she expects many of her current districts to move from Implementing to Innovating. That said, districts don't need an existing relationship with Michigan Virtual to get started. AI Strategists work with districts at any point in the Integration Framework, whether a district is just beginning to investigate AI or is further along and looking to deepen its approach.

None of that requires every leader to arrive already convinced. Delo described a recent leadership meeting where one attendee was vocal about their concerns about AI. Her response: "I agree, that's why I'm here... we want to be able to talk about these concerns in a way that we can actually make an impact." By the end of the session, that same leader said they'd left with a clearer sense of what they could actually influence and appreciated having the latitude to voice concerns that had been on their mind. That, as much as any framework or template, is what this next phase of the work looks like: giving leaders room to be skeptical out loud, then giving them something concrete to do with that skepticism.

Michigan Virtual
The Value of Partnership

Supporting the Next Stage of AI Integration

Three years of annual AI Summits helped to build momentum, but momentum alone isn't enough to sustain progress. In 2026, Michigan Virtual reimagined its flagship event as Beyond the Summit, a series of regional AI Implementers Symposiums designed to help district teams move from exploration to implementation, followed by an Innovators Retreat for teams ready to take the next step toward innovation. Regional symposiums are taking place across Michigan throughout the 2026–27 school year, with a Southeast Michigan retreat planned for spring 2027. The timing aligns with Delo's expectations for many of the districts she supports: a shift from implementing AI to exploring more innovative applications.

Footnotes

  1. The four districts featured in this fieldnote were selected to illustrate strong practice, not because other districts Michigan Virtual works with are falling into this pattern. Being unnamed here carries no implication either way. ↩︎

Framework connection

Maps to Michigan Virtual's AI Integration Framework. Of the eight domains, this fieldnote focuses on the 2 shown in color.

  • Leadership & Vision
  • Policy, Ethical, & Legal Considerations — not covered in this fieldnote
  • Instructional Framework — not covered in this fieldnote
  • Learning Assessments — not covered in this fieldnote
  • Professional Learning
  • Student Use — not covered in this fieldnote
  • Business & Technology Operations — not covered in this fieldnote
  • Outreach — not covered in this fieldnote

MI Featured in this fieldnote

  • Clare-Gladwin RESD (opens in a new tab)

    This regional ISD is coordinating AI adoption across five member districts through shared governance. It's a lesson in what genuine leadership investment looks like when superintendents choose to put "skin in the game" rather than delegate the decision.

  • Lapeer Community Schools (opens in a new tab)

    A K-12 district where the superintendent champions AI as a long-term vision and an assistant superintendent leads the day-to-day work. It shows how leadership can mean bold vision-setting paired with trust in the team carrying it out.

  • St. Joseph Public Schools (opens in a new tab)

    This K-12 district's leadership speaks candidly about what didn't work. It's a case for why honesty about missteps is a mark of genuine leadership investment, not a liability to hide.

  • Muskegon Area ISD (opens in a new tab)

    A regional ISD that took a slower, staff-led approach to AI adoption. Leadership here means ceding the floor and empowering staff to model use for one another, rather than commanding every conversation.

Questions you should be asking

  • Can we specifically explain why AI integration matters for our goals by tying it to our existing strategic priorities, rather than discussing its importance in general?
  • When AI decisions get made about tools, policy, and training, who is actually in the room? Does that match who we'd want in the room?
  • What's the honest gap between how we talk about this work publicly and what's actually happening day to day?
  • Which of the three culture camps (protective, enthusiastic, cautious middle) best describes our staff right now? Does our pace match it?
  • If a rollout didn't go the way we hoped, would our team feel safe telling us that before it became a bigger problem?
  • Are we asking one leader to carry this work, or have we built something that survives a change in staffing or a hard budget year?

More from Michigan Virtual

See more Leadership articles from Michigan Virtual

Featured in this fieldnote

Michigan Virtual AI Strategists

  • Karle Delo AI Strategist Director, Michigan Virtual Worked directly with Lapeer, Muskegon, and St. Joseph throughout this fieldnote.
  • Aaron Baughman Associate Director of Innovation & Strategic Partnerships, MASSP Led Michigan Virtual's work with Clare-Gladwin RESD as an AI Strategist.
  • Dr. Alexandra Lee, Ph.D. AI Strategist Offered perspective on how culture and district size shape AI adoption.
  • Annie Kim Sytsma AI Strategist Worked with St. Joseph's English department on AI's impact on writing assessment.

District & ISD Leaders

  • Joe Trommater REMC 5 Director / Instructional Technology Integration Specialist, Clare-Gladwin RESD Led Clare-Gladwin's superintendents through the vote to invest in Michigan Virtual's consulting support rather than go it alone.
  • Michelle Bradford Assistant Superintendent (Curriculum & Instruction), Lapeer Community Schools Has driven Lapeer's AI task force, training, and policy work ever since her superintendent stepped back.
  • Amy Dirlam Assistant Superintendent, St. Joseph Public Schools Led St. Joseph's AI task force and spoke candidly about both the district's rollout missteps and its wins.
  • Randy Lindquist Superintendent, Muskegon Area ISD Modeled a slower, staff-led approach to AI adoption across Muskegon Area ISD, building internal capacity before asking others to follow.

Resources

Start here: frameworks, tools, & support

  • MV AI Integration Framework The 8-domain framework and continuum on which this fieldnote series is built, useful for locating where leadership fits alongside the other seven domains.
  • AI Integration Microcredentials Michigan Virtual's microcredential courses, built directly around the AI Integration Framework's eight domains, for educators and leaders who want a structured, credentialed path rather than a one-off workshop. The course below is specific to this fieldnote's domain, Leadership & Vision:
  • AI Integration: Investigating Leadership & Vision Helps district leaders assess their current AI awareness and build a shared vision and actionable plan for AI integration.
  • Michigan Department of Education AI guidance The state-level backdrop that several districts referenced when building their own local policy.
  • AI Expectation Scale Template Developed by Karle Delo, this template helps leadership teams set shared, grade-appropriate expectations for AI use before rolling guidance out to staff.
  • Michigan Virtual AI Lab In this growing collection of free resources, find customized AI training and workshops, information about each of our AI Strategists, podcasts, guides, courses, and Microcredentials.
  • Beyond the Summit A year-round series of symposiums, workshops, webinars, and collaborative experiences designed to help district leaders like you build knowledge, make informed decisions, and turn ideas into action.
  • Custom AI Training: Virtual or On-Site Create a customized plan that fits your goals and your district's planning process, whether it's a single workshop or a series of sessions.
  • AI in Education: Perceptions Around Use, Disclosure, and Guidance Michigan Virtual's 2026 research report on how districts, staff, and students are actually experiencing AI disclosure and guidance in practice.
  • AI Resources for School Leaders: A Quick-Reference Guide for Communicating AI Adoption (clearance pending) A quick-reference guide specifically for how leaders talk about AI adoption with their own staff and community.
  • AI Integration Coach (clearance pending) A Gemini Gem built to help districts find ideas for integrating AI into existing initiatives and goals, rather than treating it as a separate effort.
  • From Exploration to Impact: Why AI Guidance Matters (clearance pending) Makes the leadership case for why formal AI guidance matters in the first place, not just what it should contain.
  • A Structured Approach to AI Integration: A Roadmap for the 24-25 School Year Justin Bruno's roadmap for sequencing a district's first year of AI integration work.
  • AI for Leaders (clearance pending) A slide deck built specifically for district and school leaders getting oriented to AI.

See it in action: district artifacts

Muskegon Area ISD

  • MAISD Strategic Planning Process Overview (clearance pending) Describes how Muskegon Area ISD built a five-year strategic plan using AI-assisted analysis of countywide listening sessions.
  • MAISD Mission, Goals & Values The district's actual five-year strategic plan. AI doesn't appear anywhere in its stated goals, notable because AI shaped how the plan was built without becoming a goal in its own right.

Clare-Gladwin RESD

  • Clare-Gladwin regional AI policy template (clearance pending) The policy framework was built to hold five member districts with different risk tolerances at the same table.

Lapeer Community Schools

  • Lapeer AI Principles, Guidance for Staff, and District Timeline (clearance pending) Lapeer Community School's AI guidance for staff, guiding principles, AI usage scales, and district timeline.

St. Joseph Public Schools

  • St. Joseph Public Schools AI Guidance document (clearance pending) Guiding principles for AI use, General AI guidance, Secondary AI guidance, Elementary AI guidance, as well as definitions, disclosures, and FAQ. Currently in draft form for internal district use only; whether it has become publicly citable is being confirmed at the district's back-to-school checkpoint.
  • St. Joseph AI Misuse Written Reflection template (clearance pending) Used as a restorative, non-punitive first response when a student misuses AI, rather than jumping straight to discipline.
  • SJPS AI Ethics Module 1 (clearance pending)
  • SJPS AI Ethics Module 2 (clearance pending)

Dig deeper: field reading

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