by mguhlin

AI Strategist MGpt

EdTech

What would an AI Strategist look like? Someone who was informed by all the great ideas about AI? And, going further, what recommendations would that strategist make?

For example, what would an AI Strategist say to a business, non-profit organization, or education organization on how to move forward? I thought it might be fun to make a custom GPT that did just that.

Introducing AI Strategist MGpt

Listening to The Artificial Intelligence Show podcast, I couldn’t help but wonder, how could a custom GPT be an AI Strategist?

Output Example

Here’s a little example of the output:


K-12 School District AI Strategy Plan

1. Assess AI Readiness & Set Strategic Goals

  • Conduct an AI proficiency survey to understand staff, administrator, and student familiarity with AI tools.
  • Determine your district’s AI maturity
  • Identify AI champions (teachers, administrators, IT staff) to lead district-wide AI initiatives.
  • Align AI goals with district strategic plans, focusing on equity, accessibility, and student learning enhancement.

2. Establish AI Policies & Guidelines

  • Develop an AI Acceptable Use Policy (AUP) that defines responsible AI use for students, teachers, and administrators.
  • Ensure compliance with FERPA, COPPA, and district privacy policies, preventing sensitive student data from being exposed to AI systems.
  • Evaluate AI tools for suitability, oversight, data security, necessity, and ethics.
  • Establish guidelines for AI-assisted instruction, ensuring AI supports but does not replace teacher expertise.

3. Implement AI Pilot Programs

  • Select priority areas for AI integration (e.g., personalized learning, administrative automation, teacher workload reduction).
  • Follow a 90-day phased rollout:
    • First 30 Days: Identify AI tools, provide introductory training, and launch limited pilots in select classrooms.
    • Next 30 Days: Expand pilots based on early feedback, establish AI best practices, and provide professional development.
    • Final 30 Days: Evaluate outcomes, refine policies, and prepare for broader district-wide adoption.
  • Integrate AI tools for special education (IEP support), language learning, and STEM education.

4. Train Educators & Staff on AI Literacy

  • Offer tiered professional development for different roles (teachers, administrators, IT staff, curriculum designers).
  • Use hands-on AI workshops to teach:
    • Basic AI literacy: What AI can and cannot do.
    • AI-powered teaching tools: ChatGPT, Perplexity, Claude, and AI-driven assessment tools.
    • AI in curriculum design: Enhancing lesson plans, grading automation, and personalized learning.
    • Prompt engineering: Helping staff and students interact effectively with AI systems.
  • Require AI training for all new teachers and administrators, ensuring district-wide competency.

5. Scale AI Adoption & Measure Impact

  • Develop Key Performance Indicators (KPIs):
    • % of teachers using AI tools effectively.
    • Reduction in administrative workload (e.g., lesson planning, grading).
    • Improvements in student engagement and learning outcomes.
    • Ethical and responsible AI usage compliance.
  • Establish an AI Advisory Committee with teachers, parents, administrators, and students to guide responsible AI adoption.
  • Regularly update families and the community about AI initiatives through newsletters, parent meetings, and school board reports.

6. Ensure Equitable AI Access for All Students

  • Provide AI-powered assistive technology for students with disabilities and English Language Learners (ELL).
  • Address the AI digital divide by ensuring all students, including those in under-resourced schools, have access to AI tools.
  • Offer AI summer camps and after-school programs to boost student AI proficiency.

Next Steps for Your District

Here is a detailed AI implementation roadmap for your K-12 school district, structured into a 90-day action plan with clear phases, tasks, and accountability measures.


90-Day AI Implementation Plan for K-12 School Districts

Phase

Key Actions

Responsible Parties

Success Metrics

First 30 Days: Assessment & Planning

Conduct AI Readiness Survey (staff, students, administrators).

District IT & Curriculum Teams

80%+ response rate

Use a framework to determine district AI maturity.

Superintendent & IT Director

AI adoption phase identified

Establish an AI Task Force (teachers, IT, administrators, parents, and students).

School Board & Admins

Task force formed with diverse members

Draft an AI Acceptable Use Policy (AUP) aligned with FERPA, COPPA, and district data policies.

IT & Legal Teams

AI AUP drafted and reviewed

Identify 3-5 AI pilot programs for instruction, admin tasks, and student support.

Curriculum & IT Teams

Pilot programs selected

Select AI tools

IT & Teaching Staff

Approved AI tools list created

Communicate AI strategy to teachers, parents, and the community via newsletters and meetings.

District Communications Team

3+ parent engagement sessions held


Phase

Key Actions

Responsible Parties

Success Metrics

Next 30 Days: Pilot AI Implementation

Train teachers & staff on AI basics: ChatGPT, Perplexity, Claude, AI in lesson planning, and responsible use.

Professional Development (PD) Team

80% of teachers trained

Deploy AI pilots in 3-5 test schools (personalized learning, grading automation, special education support, STEM labs).

Principals & IT Leads

Pilot running in at least 3 schools

Implement AI-driven admin automation (email drafting, attendance tracking, report generation).

District Admin & IT Team

AI reduces admin workload by 20%

Host student workshops on AI literacy, ethical use, and future careers.

Teachers & Counselors

50%+ student participation in workshops

Establish monthly AI adoption reports to track challenges & improvements.

AI Task Force & School Leaders

Report submitted to district leadership


Phase

Key Actions

Responsible Parties

Success Metrics

Final 30 Days: Scale & Evaluate

Gather feedback from teachers, students, and parents on AI pilot effectiveness.

Curriculum & AI Task Force

80%+ positive feedback

Expand AI programs based on pilot success: STEM, IEP support, ESL, admin automation.

District Leadership & IT Team

Successful pilots expanded to 50%+ schools

Host an AI Showcase Event for schools, parents, and the community.

Communications Team

200+ attendees at AI showcase

Release AI Best Practices Guide for teachers and staff.

PD Team

Guide published & shared with all schools

Present AI adoption results to the School Board for full-scale implementation approval.

Superintendent & AI Task Force

AI expansion plan approved


Long-Term AI Goals (Beyond 90 Days)

Expand AI adoption district-wide in lesson planning, grading, and student interventions.
Establish an AI Resource Hub for teachers to share AI-driven lesson plans & best practices.
Launch AI professional development courses for ongoing teacher training.
Monitor AI impact through quarterly reports, adjusting policies and tools as needed.
Ensure equitable AI access by providing devices, training, and AI literacy programs to underserved schools.


Next Steps

Here’s a detailed list of recommended AI tools and budget estimates to help your K-12 school district successfully implement AI.


AI Tools & Budget for K-12 School District Implementation

Category

AI Tool

Use Case

Cost Estimate

Classroom Instruction

ChatGPT-4 (Enterprise/Team)

Lesson planning, student support, writing assistance

$25/user/month (Teams) or custom pricing (Enterprise)

Perplexity AI

Research assistant, answering student queries

Free / $20/month for Pro

Curipod

AI-generated interactive lesson plans & student engagement

Free for teachers / $15-$30 per teacher/month

Khanmigo (by Khan Academy)

AI tutor for math and STEM subjects

$9/month per teacher

MagicSchool AI

AI-generated lesson plans, IEPs, and rubrics

$12/month per teacher

Assessment & Student Support

Gradescope (AI by Turnitin)

AI-assisted grading for assignments & tests

$2-$5 per student/year

Scriblio AI

AI-powered writing feedback & grammar check

Free / $5 per student

Otter.ai

AI note-taking for students & teachers

$16.99/month per teacher

Read&Write (Texthelp)

AI reading support for students with disabilities & ELL learners

$145 per user/year

STEM & Computer Science

Scratch + AI Extensions

AI-powered coding for students

Free

Google Teachable Machine

No-code AI projects for students

Free

IBM Watson AI Education

AI for science experiments & STEM projects

Free (Basic)

Micro:bit AI Kit

Hands-on AI & coding projects for middle/high school

$100 per classroom kit

Administrative & Efficiency Tools

DALL·E / Canva AI

AI-generated images for lessons & marketing

Free / $15 per teacher

Otter.ai / Fireflies.ai

AI transcription for staff meetings & teacher PD

$10-$20 per user/month

AI-Powered Email (Grammarly/Compose.ai)

Drafting emails, automating communication

Free / $12 per user/month

ChatGPT-4 (for Admins)

Drafting policies, scheduling automation

$25/user/month

Data Privacy & Security

ChatGPT Enterprise / Teams

AI with data privacy protection for schools

$25+/user/month

GoGuardian AI

AI-driven content filtering & monitoring

Custom pricing


2. Estimated Budget for AI Implementation (First Year)

Expense Category

Estimated Cost

Notes

AI Professional Development

$10,000-$25,000

AI training workshops for teachers & staff

AI Classroom Tools

$20,000-$50,000

Licenses for AI-powered lesson planning & student support

AI Assessment & Admin Tools

$15,000-$40,000

AI grading, scheduling, and document automation

Data Privacy & Security

$10,000-$30,000

Enterprise AI tools & compliance solutions

Devices & Infrastructure

$50,000-$100,000

Upgrading AI-ready devices & cloud access

Pilot Program Funding

$25,000-$50,000

Testing AI tools in select schools before scaling

Community & Parent Engagement

$5,000-$15,000

AI awareness campaigns & informational sessions

Total Estimated Budget

$135,000 - $310,000

Based on district size & adoption scope


3. Funding & Grant Opportunities

Your district can offset AI implementation costs by applying for:
ESSER Funds (CARES Act) – Eligible for AI professional development & tools.
Title I Grants – AI tools that support equity & accessibility (e.g., ELL and special education).
NSF STEM Grants – Funding for AI-powered STEM learning tools.
Google for Education & Microsoft AI Grants – Tech companies offering AI funding to schools.


What are your thoughts? Is this valuable? It’s just the generic output from an AI Strategist custom GPT. Imagine if you had a real partner to assist.

What would an AI Strategist look like? Someone who was informed by all the great ideas about AI? And, going further, what recommendations would that strategist make?