The Question Isn't Whether Your Institution Uses AI. It's Whether You're Shaping How.

By the time an institution publishes its AI policy, students have usually been using AI for a year.

That's not a criticism. It's the reality of how adoption curves work in higher education. Students bring tools into their learning before institutions have frameworks for managing them. Faculty experiment before there's formal guidance. And by the time governance catches up, the behavior it's meant to govern is already embedded in daily practice.

The response to that reality matters enormously. Institutions that treat it as a problem to contain tend to produce policies that generate resistance rather than responsibility. Institutions that treat it as a condition to shape - by investing in AI infrastructure, literacy, and governance proactively - end up in a fundamentally different position.

The difference between presence and governance

AI is already present in most higher education institutions. The EDUCAUSE 2025 AI Landscape Study found that 57% of respondents now view AI as a strategic priority. Microsoft's 2025 education report found that 86% of education organizations report using generative AI - the highest rate of any industry surveyed.

Presence is not the same as governance. An institution where students, faculty, and staff are all using AI independently, with no shared framework, no institutional-grade tools, and no oversight, is not an AI-ready institution. It's an institution where AI is happening to it, rather than being shaped by it.

The meaningful question isn't whether AI is present. It's whether the institution has made deliberate decisions about how it shows up.

Institution Story: The American College of Financial Services Embeds AI Tutor to Deliver Program-Level Learning and 24/7 Academic Support

The American College of Financial Services partnered with LearnWise AI to enhance student support and academic engagement across its fully online professional designation programs. The institution needed a solution that could provide accurate, program-specific support on demand while reinforcing instructor authority and maintaining high academic expectations. By launching an AI-powered learning assistant named SPARK, ACFS aims to provide working professionals with immediate, accurate academic guidance while reducing pressure on advising and faculty teams.

Learn how ACFS launched AI-powered student support across 151 courses in its first month.

What "shaping AI use" actually requires

Shaping AI use doesn't mean restricting it. It means creating conditions where AI can be used well - where students have access to tools that are accurate and appropriate, where faculty have guidance that gives them confidence rather than anxiety, and where institutions have visibility into how AI is being used and whether it's producing the outcomes they want.

That requires investment in a few specific areas.

Infrastructure that keeps AI inside institutional systems. When students use general AI tools outside the institutional environment, institutions lose the ability to ensure accuracy, maintain academic integrity, or understand how learning is happening. When AI is embedded inside the LMS - trained on institutional content, governed by institutional roles and permissions - students still get the support they need, but the institution is part of the environment rather than absent from it.

Governance that is operational, not just aspirational. A policy document is not a governance framework. Governance means clear accountability for AI decisions, defined controls on what AI can access and do, audit capability, and a process for evaluating new tools consistently. Institutions that build this infrastructure early spend far less time on reactive crisis management later.

Faculty enablement that is practical, not performative. Faculty do not need to become AI experts. They need clear guidance on what's acceptable, tools that fit into existing workflows rather than add to them, and the assurance that AI is designed to support their judgment rather than substitute it.

Student literacy that goes beyond policy. Institutions that treat AI literacy as a compliance task - publishing a statement, running one workshop - are not building the capability students need for professional life after graduation. Sustained, curriculum-integrated AI literacy is a competitive differentiator for institutions willing to invest in it.

Institution Story: Pima Community College Partners with LearnWise AI to Embed Support Inside Brightspace

With approximately 40,642 students in the 2024-2025 academic year, Pima Community College operates at a significant scale. In early 2026, PCC entered into a partnership to deploy Lumi Chat powered by LearnWise inside Brightspace, alongside a planned integration with TeamDynamix (TDX). The goal is to reduce friction in the most important digital space students inhabit and align support with the rhythm of how learners actually work.

The institutional priority is to shape that experience intentionally within PCC’s own governance structures, values, and service frameworks. If users are going to turn to AI for help, PCC prefers that interaction to occur inside a supported, accountable environment aligned with institutional standards.

Learn more about the Pima Community College partnership here.

The window for shaping this is real, but not indefinite

The institutions that move from "AI is a priority" to "we have a plan that's actually working" in the next twelve months will have a significant advantage. Not because they'll have the most impressive AI demos, but because they'll have built the institutional muscle: from governance, to infrastructure and faculty confidence that makes scalable AI adoption possible.

That muscle takes time to build. Starting earlier makes it easier. Waiting until AI has generated its first governance problem is a harder place to start from.

If your institution is trying to move from intention to action, our AI Readiness framework is designed to help you assess where you stand across governance, infrastructure, faculty enablement, student literacy, and compliance - and build a sequenced implementation plan from there.

→ Assess your institution's AI readiness

→ Download the AI Readiness Implementation Guide

→ See how AI works inside your LMS