For Higher Education Institutions

Institutional AI work often stalls for a simple reason: too much activity, not enough coherence.

Navigate AI helps colleges and universities align faculty development, course quality, student fluency, and governance so AI implementation becomes more consistent, credible, and measurable.

Built for:

Provosts & AVPs
Deans & Chairs
CTL Leaders
Online Learning
QEP & Innovation
Research-informed Productized offers Evidence-based
Institutional implementation view
One coherent model. Four packaged offers.
Leadership-ready deliverables

Campus AI maturity snapshot

Faculty fluency
64%
Course quality
57%
Student fluency
49%
Governance clarity
42%
↑ Priority gap: governance clarity + student fluency
Faculty AI Fluency Cohorts
Structured faculty pathwayFrom uneven readiness to visible growth, shared language, and redesigned course practice.
Student AI Fluency Curriculum
Intentional student capabilitySix domains, four levels, and multiple implementation models across courses or programs.
AI Bootcamps & Workshops
Short, bounded engagementClarify priorities, surface friction points, and produce concrete next-step deliverables.
4institutional offers that can stand alone or ladder together into a larger implementation pathway
3years of original higher education AI research informing segmentation, support, and course design choices
1coherent framework stack underneath the work instead of disconnected workshops and policy fragments
0interest in hype-heavy AI theater that leaves leaders with no usable deliverables or evidence
Why institutions get stuck

Most campuses have activity. Fewer have a model.

Many institutions now have AI committees, faculty workshops, policy conversations, and early adopters doing interesting work. That matters, but activity is not the same thing as coherence.

How do we support faculty without flattening pedagogy?
How do we redesign assignments without collapsing into surveillance or prohibition?
How do we distinguish genuine student fluency from shallow tool dependence?
How do we move from one-off sessions to something consistent enough to scale?

Navigate AI was built for that middle ground between panic and hype: practical, rigorous institutional work grounded in faculty reality rather than generic futurism.

How we work with institutions
01

Start where the institution actually is

Some campuses need a short governance sprint. Others need a faculty cohort, student fluency work, or a course review standard. The entry point should match the problem, not a canned sequence.

02

Use packaged offers, not vague advising

Institutions receive clear scopes, visible deliverables, and buyer-friendly outcomes. This is designed to be implemented, not just discussed.

03

Ladder support into a more coherent model

An institution can begin with one engagement and build toward stronger faculty practice, clearer course standards, more intentional student capability development, and better visibility for leadership.

Four ways we help institutions

Packaged offers that can stand alone or work together.

This is not a grab bag of talks. It is a small, deliberate set of offers that help institutions build faculty fluency, clarify governance, strengthen course quality, and develop student capability.

Offer 01 — Faculty Development

Faculty AI Fluency Cohorts

01

Structured faculty development built around the reality that faculty differ in readiness, trust, pace, and use case. The goal is stronger judgment, clearer course design, and more credible practice.

Built for cohorts, departments, schools, or campus-wide implementation
Includes reflection, redesign work, and administrative visibility
Connects directly to certifications, rubrics, and framework tools
Offer 02 — Strategy & Governance

AI Bootcamps & Workshops

02

Result-oriented bootcamps, workshops, and design labs built to help a campus, school, or faculty group move from broad AI interest into visible progress.

Useful when a campus needs fast activation without launching a long consulting project
Can be scoped for faculty, department, leadership, or student-facing activation
Produces workshop outputs leaders and facilitators can actually use afterward
Offer 03 — Student Outcomes

Student AI Fluency Curriculum

03

A practical model for helping students build meaningful AI fluency across six domains and four competency levels, with multiple ways to implement across courses, programs, or initiatives.

Supports embedded, microcourse, bootcamp/seminar, or pathway-based rollout
Built for capability development, not accidental exposure
Useful for GenEd, majors, honors, online learning, or QEP work
NEW
Offer 04 — Course Quality

CourseReady AI Review

04

A structured course review process that evaluates whether a course is handling AI credibly across policy, assignments, assessment, transparency, tool use, and instructional design.

Useful for individual courses, online learning teams, or scaled review models
Built around a clear quality standard rather than generic advice
Generates feedback reports, recommendations, and improvement pathways
Companion resource

AI Pedagogy Atlas

A practical strategy finder that helps faculty and instructional teams identify AI-era teaching approaches by goal, constraint, or course challenge. It works especially well as a bridge from workshop energy into actual redesign.

Findable teaching strategiesBrowse by feedback, discussion, writing, process, assessment, engagement, and more.
Better follow-throughGive faculty a concrete place to go after a bootcamp, cohort session, or planning retreat.
Starter PDFOffer a lower-friction entry point for faculty who want a quick practical resource first.
What institutions receive

Deliverables leaders can actually use.

Navigate AI is designed to leave institutions with more than enthusiasm. Buyers should walk away with artifacts, redesigned work, visible standards, and a clearer sense of what the next phase should look like.

01
Reports, roadmaps, and review outputsLeadership-facing summaries, course review findings, cohort insights, and practical recommendation documents.
02
Redesign examples and usable languageAssignment redesigns, sample policy language, course-facing guidance, and applied teaching artifacts.
03
A pathway from activity to coherenceA clearer connection between faculty development, governance work, student capability, and course-level quality.
04
Research-informed supportGrounding in actual faculty adoption patterns and institutional realities rather than generic AI keynote language.
AI Teaching Quality Standard Dashboard
Faculty cohort summaryParticipation, themes, redesign examples, next-step recommendations.
Governance sprint roadmapPriority map, owner recommendations, sequence for implementation.
Course review outputDomain scores, feedback notes, and improvement path.
Built for the people who own the decision

Different buyers come to Navigate AI for different reasons.

Whether you need a faculty fluency pathway, a governance sprint, a student AI capability model, or a more credible course review standard — Navigate AI has a packaged offer built for your specific problem.

ProvostsNeed institutional coherence, implementation visibility, and a credible partner who understands academic change.
DeansWant school-level pathways, bounded engagements, and deliverables that can be used with chairs and faculty.
CTL LeadersNeed structured faculty pathways rather than endless one-off workshops and generic tool demos.
Online Learning TeamsWant a clearer course quality standard and practical review language around AI use in design and assessment.
Innovation / QEP LeadersNeed student fluency language, evidence-friendly structures, and a coherent implementation story.
Institutional next step

Ready to move from scattered AI activity to a coherent institutional model?

Start with the problem that matters most right now. Whether you need faculty fluency, student capability, course quality, governance support, or a bounded workshop, this form is the fastest way to scope the right next step.

Helpful detail: Share your institution type, the audience involved, the main problem you want to solve, and whether you are looking for a workshop, pilot, cohort, or broader institutional pathway.
Best use cases

What leaders usually ask for first

We need a faculty AI fluency pathway, but adoption is uneven.
We want an AI workshop, bootcamp, or retreat with usable outputs.
We need a student AI fluency implementation option, not just a concept.
We want to review AI readiness across courses more systematically.
Prefer to browse first?

Start with the research and frameworks.

The reports and Atlas are useful if you want to understand the work before requesting a call.

Other ways to connect

Direct contact

Email works fine if you already know what you need or want to send supporting context.

Typical response time: 1–2 business days
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