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AI Use Cases for Schools: From Admissions to Administration

October 6, 202512 min readMichael Lansdowne Hauge
For:School AdministratorsIT DirectorsEducation LeadersOperations Managers

Discover 12 AI use cases for schools covering admissions, administration, and communication. Includes decision tree for use case selection and implementation guidance.

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Key Takeaways

  • 1.AI can transform school operations from admissions processing to administrative workflows
  • 2.Start with high-volume repetitive tasks like inquiry responses and document processing
  • 3.Student-facing AI applications require extra governance and parental consent considerations
  • 4.Teacher productivity tools offer quick wins with lower risk than student-facing applications
  • 5.Data privacy and age-appropriate AI use are critical compliance requirements for schools

AI Use Cases for Schools: From Admissions to Administration

Executive Summary

  • Schools can benefit from AI in administrative operations without compromising educational values
  • This catalog presents 12 use cases across admissions, administration, communication, and support functions
  • Each use case includes considerations for student data protection and educational context
  • AI should enhance human decision-making in schools, not replace it
  • Start with administrative efficiency use cases before expanding to student-facing applications
  • Governance and policy should precede implementation, especially for student data
  • International schools and local schools face different regulatory and operational contexts

Why This Matters Now

Schools face unique pressures that AI can help address:

  • Administrative burden: Teachers and staff stretched thin on non-educational tasks
  • Parent expectations: Demand for responsiveness and personalized communication
  • Competition: Schools differentiating through operational excellence
  • Resource constraints: Doing more with limited budgets

At the same time, schools bear special responsibilities:

  • Student welfare: Any AI use must prioritize student wellbeing
  • Data protection: Student data is sensitive and regulated
  • Educational mission: Technology should support learning, not distract from it

Use Case Selection Decision Tree


Admissions Use Cases

1. Admissions Inquiry Response

What it does: Automatically responds to initial admissions inquiries with relevant information.

Time to value: 4-6 weeks | Complexity: Medium

Best for: Schools with 100+ inquiries per admissions cycle

2. Application Document Review

What it does: Extracts key information from application documents, checks completeness, flags items for human review.

Time to value: 6-10 weeks | Complexity: High

Caution: Never use AI to make admissions decisions. AI supports human review only.

3. Admissions Communication Scheduling

What it does: Coordinates tour schedules, interview times, and family communications.

Time to value: 2-4 weeks | Complexity: Low


Administrative Use Cases

4. Parent Communication Drafting

What it does: Generates draft communications to parents for staff review.

Time to value: 1-2 weeks | Complexity: Low

5. Parent Inquiry Response

What it does: Drafts responses to routine parent inquiries about schedules and policies.

Time to value: 2-4 weeks | Complexity: Low

6. Document and Form Processing

What it does: Extracts data from forms into school systems.

Time to value: 6-8 weeks | Complexity: Medium

What it does: Enables staff to query policies using natural language.

Time to value: 4-6 weeks | Complexity: Medium

8. Meeting Scheduling and Notes

What it does: Schedules meetings, transcribes discussions, generates summaries.

Time to value: 2-4 weeks | Complexity: Low

9. Resource and Room Scheduling

What it does: Optimizes scheduling of shared resources and identifies conflicts.

Time to value: 4-6 weeks | Complexity: Medium


Student Support Use Cases (Proceed with Caution)

10. Attendance Pattern Analysis

What it does: Identifies attendance patterns indicating students needing support.

Governance requirement: Robust AI policy and student data governance required.

11. Learning Analytics (Basic)

What it does: Aggregates learning platform data to identify class-wide trends.

Governance requirement: Student data policy must explicitly address learning analytics.

12. Administrative Report Generation

What it does: Generates administrative reports from school data.

Time to value: 6-8 weeks | Complexity: Medium


Checklist: Before Implementing AI in Schools

Governance

  • School AI policy developed and approved
  • Student data protection policy updated
  • Parental consent framework established
  • Staff training on AI use completed

Use Case Selection

  • Business problem clearly defined
  • Expected benefits documented
  • Data requirements identified
  • Risk assessment completed
  • Human oversight plan defined

Implementation

  • Vendor evaluated for school context
  • Data protection measures verified
  • Integration with existing systems planned
  • Training for users scheduled
  • Monitoring and review process established

Frequently Asked Questions


Next Steps

Start with 1-2 administrative use cases where you can demonstrate value quickly. Build organizational capability and governance before expanding to student-data applications.

Book an AI Readiness Audit with Pertama Partners for school-specific assessment and roadmap development.


Frequently Asked Questions

Start with administrative use cases. They typically have lower risk, faster implementation, and build organizational capability before tackling more sensitive applications.

Michael Lansdowne Hauge

Founder & Managing Partner

Founder & Managing Partner at Pertama Partners. Founder of Pertama Group.

AI Use CasesEducationSchoolsAdmissionsAdministrationAI for schools and educationschool administration automationAI in educational institutions

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Key terms:AI Use Case

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