The framework is one model, but no two institutions start from the same place. These pathways sequence the same eight pillars differently for three common institution types, each with what to prioritize, a minimum viable implementation you can stand up without boiling the ocean, and a phased 12–18 month roadmap. For what to pursue by type and maturity, see Sample AI strategies; this page is how you stand up the framework to get there.
Every pathway follows the same arc
GroundBuild structuresEvaluateImplementReflect
Your advantage is coordination, a small institution can align quickly and adopt one clear strategy. Your constraint is capacity: few specialized staff and little budget slack. Lead with embedded governance and a handful of high-trust practices rather than new bodies and tools.
Every barrier here is real and has slowed good ideas on many campuses. The framework doesn't remove them, it names them so you can navigate deliberately rather than be blindsided. The campuses that succeed are rarely the best-resourced; they start with honest conversations, move in small disciplined experiments, and build shared ownership over time.
Resource constraintsCommon at small colleges, community colleges, and lean mid-sized institutions
“We can barely keep the lights on, how are we supposed to build eight pillars and run a Compass process?”
Start with what exists, fold AI into an existing IT-governance or academic-technology committee instead of building a new bureaucracy.
Use the lightest entry point: one well-facilitated campus conversation on mission and AI surfaces priorities and builds momentum.
Phase ruthlessly, pick 2–3 urgent pillars first (often Mission, Policies, and one high-risk area), and use the Compass only on new or contested initiatives.
Borrow strength, adapt the free EDUCAUSE GenAI Readiness Assessment as your starting Campus Readiness diagnostic.
Shared governance & faculty skepticismWhere faculty read central frameworks as overreach on academic freedom
“We don't need another top-down initiative.”
Lead with mission and faculty voice, not mandates, frame it as protecting integrity, teaching quality, and student success.
Make it modular and opt-in at first, let departments use the Compass voluntarily and show, don't tell, how it helps.
Create visible faculty champions, invite respected, thoughtful AI adopters to shape the Principles and Engagement pillars.
Address workload explicitly, in Roles & Responsibilities, state how AI service and innovation count toward tenure, promotion, and review.
“We're already doing fine”Where scattered pilots look like progress and the costs stay hidden
“Why add another framework when things seem to be moving?”
Make hidden costs visible, a short survey or focus group surfaces duplication, conflicting advice, and privacy or bias near-misses.
Connect to live pressures, accreditation, student success, budget scrutiny, or a recent AI incident on campus.
Start with a visible win, run the Compass on one timely, high-visibility initiative and document it well.
Fear that governance slows innovationWhere “governance” reads as red tape to innovators
“Won't this add layers of approval that kill good ideas?”
Position the Compass as an enabler, a fast way to screen and improve ideas so good ones move forward with fewer downstream problems.
Create tiered pathways, low-risk uses follow light guidelines; reserve full review for high-stakes, student-facing, or costly initiatives.
Build in speed, set clear review timelines (e.g., most decisions within two weeks) and empower the body to act on routine matters.
Proving value & sustaining momentumWhere leadership turnover or new crises can strand the work
“How do we show ROI before sponsorship fades?”
Celebrate leading indicators early, proposals that used the Compass, tools de-duplicated, faster policy clarity for faculty.
Build the Reflect step into the rhythm, a short after-action review after every pilot, shared publicly.
Institutionalize lightly, embed the framework into budget requests, program approvals, and IT intake so it survives turnover.