Turn AI Pilots into Campus-Wide Practice

The SCALE Framework guides academic leaders from scattered AI experiments to sustainable, policy-grounded adoption. Map your journey—from Spark to Campus-wide Expansion—and lead change with clarity, evidence, and buy-in.

Why SCALE Matters

AI excitement often sparks isolated pilot projects—one faculty member testing ChatGPT here, a department rewriting rubrics there—but without a common language or metrics, those efforts stall in “demo mode.” SCALE turns scattered experiments into an evidence-driven roadmap, guiding leaders to align policy, resources, and professional development so early wins compound into campus-wide transformation.

Only 29 % of institutions report a “coordinated AI strategy,” yet 82 % cite AI as a top-three priority for 2026.

- EDUCAUSE Survey, 2025

What is SCALE?

Five Leadership Phases

Phase	Focus	Key Actions
S – Spark Awareness	Build shared vocabulary & urgency	Keynote, AI showcase, baseline survey, etc.
C – Create Pilots	Launch low-risk, high signal projects	Select flagship courses, set metrics, etc.
A – Assess Impact	Collect data & student feedback	Dashboard, comparative analytics, etc.
L – Lead with Policy	Formalize guidelines & incentives	Craft AI policy, offer clear PD pathways, etc.
E – Expand Institutionally	Scale success stories & resources	Department packs, faculty stipends, etc.

SCALE turns those phases into an iterative loop—assess, refine, expand—so progress never stalls.

What's Inside the Toolkit

SCALE Essentials Guide

The SCALE Essentials Guide distills the entire framework into a single, action-oriented bundle. Whether you’re a dean launching your first pilots or a provost ready to formalize policy, the guide equips you with clear steps, editable templates, and real-world examples to move from inspiration to institution-wide execution. Inside you’ll find: