Connect AI capability with the quality expectations business schools already manage.
AACSB’s 2026 Global Standards strengthen the emphasis on digital agility while continuing to expect clear learning competencies, meaningful assessment, teaching effectiveness, and continuous improvement. Navigate AI helps schools translate those broad expectations into an AI-specific plan for capability, evidence, and action.
AI belongs inside existing quality systems.
A school does not need a separate accreditation process for AI. It does need a coherent explanation of what students should learn, how faculty and courses support that learning, what evidence the school collects, and how the findings shape improvement.
The table shows how Navigate AI supports that work while preserving the boundary between advisory support and accreditation judgment.
| What the standards address | What Navigate AI helps build | What Navigate AI does not determine |
|---|---|---|
| Digital agility and technology-generated outputs | AI-relevant graduate capabilities, judgment, and curriculum progression | Whether a school satisfies Standard 4 |
| Program competencies and assurance of learning | Direct measures, student evidence, findings, and improvement plans | Whether a school satisfies Standard 5 |
| Teaching effectiveness and purposeful technology integration | Faculty support, course artifacts, and CourseReady reviews | Faculty qualification or accreditation decisions |
| Continuous improvement and stakeholder input | Review cycles, evidence inventories, roadmaps, and documented change | AACSB peer-review outcomes |
See how the six diagnostic domains support a connected quality story.
Strategy & governance
Strategic management, resources, ownership, and implementation planning.
Standards 1-2Curriculum & competencies
Digital agility, responsible technology use, evaluation of technology-generated outputs, and human judgment.
Standard 4 · 4.3Assurance of learning
Direct and indirect measures tied to competencies and documented improvement.
Standard 5Course readiness
Curriculum, assurance, teaching effectiveness, and purposeful technology integration.
Standards 4, 5, 7Faculty capability
Faculty support and teaching effectiveness.
Standards 3, 7Measurement & improvement
Review cycles, stakeholder input, curriculum decisions, and continuous improvement.
Standards 1, 4, 5, 7AI-relevant evidence can fit the school’s existing competency model.
AACSB does not require every school to create a separately named AI competency. A school may define one when it fits the mission, or it may embed AI-relevant dimensions within existing program competencies. Navigate AI supports either approach and helps make the resulting evidence easier to interpret.
Required for initial accreditation; equivalent formats are accepted for accredited schools.
Navigate AI can help organize AI-relevant evidence in a form that supports the school’s own assurance process, but it does not prescribe or certify the required format.
Use an independent baseline to strengthen planning and internal accountability.
An outside review can verify artifacts, connect work across units, and give leadership a documented plan for action. Navigate AI is independent and unaffiliated with AACSB. Schools should confirm accreditation interpretations with their AACSB accreditation manager.