Turn AI activity into a capability students can demonstrate.
Faculty are experimenting, while courses and policies continue to change. The harder task is connecting that work around clear expectations for student learning. Navigate AI helps business schools define the capabilities students need, support faculty implementation, and build credible evidence of progress.
Practice is established; proof is still thin.
Define the measure, gather artifacts, and close the loop.
Digital agility now belongs inside the learning evidence conversation.
AACSB's 2026 Global Standards strengthen expectations for meaningful exposure to current and emerging technologies. They also ask schools to define learning competencies, assess them, and use the findings to improve the curriculum.
Each school still decides how AI fits its mission and programs. Navigate AI helps leadership turn that decision into a practical capability and evidence plan while leaving accreditation judgments with AACSB and its peer-review process.
AI efforts create more value when they connect.
A faculty pilot can improve a course. A policy can clarify expectations. A workshop can help instructors begin. Leadership still needs a wider view of what students should demonstrate, where those capabilities develop, and what evidence will show progress.
Local activity
Faculty make progress within their own courses. Student expectations vary, and leadership cannot yet see the complete institutional picture.
Shared capability
The school defines what students should demonstrate. Courses and faculty support reinforce those expectations at appropriate points in the curriculum.
Usable evidence
Direct measures show where students are succeeding. Course artifacts and documented improvements help leadership decide what should happen next.
Start with a clear picture of where your school stands.
The AI Fluency and Assurance Diagnostic examines six connected areas of institutional practice. It scores implementation maturity and evidence strength separately, then converts the findings into a prioritized twelve-month roadmap.
Five deliverables leadership can use
The school receives an institutional baseline, a verified evidence inventory, a priority analysis, a twelve-month roadmap, and a leadership report designed for direct use in planning and quality conversations.
See the full diagnostic →Begin with the fifteen-item Pulse Check
The free tool provides a provisional orientation across the same six domains. It can help leadership decide whether a full evidence-verified review would be useful.
Take the Pulse Check →Connect diagnosis, implementation, evidence, and improvement.
Business schools often address these needs through separate initiatives. Navigate AI connects them in one institution-level approach so that student capability, faculty support, course design, and assessment reinforce the same direction.
| Capability | One-off workshop | Generic AI curriculum / platform | Traditional course-quality review | Navigate AI |
|---|---|---|---|---|
| Business-school specific | Sometimes | Sometimes | Not typical | Built in |
| Starts with institution-level diagnosis | No | No | Course-level | Yes |
| Separates implementation from evidence | No | Rarely | Limited | Core method |
| Connects students, faculty, curriculum, assessment, and governance | No | Partial | No | Yes |
| Produces institution-ready evidence artifacts | Limited | Partial | Course artifacts | Yes |
| Supports recurring reassessment | Rarely | Usage data | Periodic review | Annual review |
Comparison reflects the typical primary focus of each category; individual providers vary.
Move from the baseline to focused action.
Student AI Fluency
Define graduate capabilities, map progression, and build student evidence across business programs.
Explore the pathway →CourseReady AI
Review priority courses for purposeful AI integration, clear expectations, and valid assessment.
Explore CourseReady →Faculty AI Fluency Studio
Turn faculty development into revised syllabi, assignments, policies, and implementation plans.
Explore the Studio →Assessment & Assurance Sprint
Build direct measures that capture reasoning, verification, judgment, and improvement.
Explore the Sprint →Annual Evidence Review
Refresh scores, review new artifacts, and document year-over-year movement.
Explore the review →Let the evidence set the sequence.
A short briefing can clarify whether the diagnostic, a focused pathway, or an institution-led step makes the most sense.
Request a briefing →Move from the current state to the next measurable result.
Diagnose
Rate implementation and evidence, review artifacts, and locate the gaps.
Define
Set graduate capabilities, priorities, and scope.
Build
Equip faculty and embed capability into courses.
Assure
Gather direct evidence and document improvement.
Demonstrate
Report progress and set the next cycle's priorities.
Grounded in an ongoing program of student research and course-level practice.
Navigate AI draws on research into student readiness, trust, verification, disclosure, and oversight, together with direct experience in teaching, assessment redesign, and faculty development. Institutional pilots and external validation will establish the separate client evidence base over time.