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© 2025 All Rights Reserved to AI Ready Education
Innovative Strategies
for a Competitive Edge
Faculty are burning out trying to catch up.
We replace the chaos of 'new tools' with the clarity of good pedagogy.
Consulting
Workshops
One-on-One
Keynote
Explore My Services
Explore My Services
Workshops
Overview
Consulting
AI integration shouldn’t be about buying software; it’s about preserving the human element of education. We partner with leadership teams to navigate the noise, focusing on sustainable pedagogical shifts rather than temporary tech trends.
We begin by auditing your current instructional culture—moving back to dialogical approaches and process-oriented learning—before a single AI tool is introduced. Whether you need a full institutional audit or our customized 90-Day Campus Strategy Roadmap, we build the foundation that allows your faculty to teach confidently.
Needs Assessment | Data Analytics | AI Policy | Responsible AI Integration | Professional Development
POPULAR CONSULTING TOPICS:
Institutional Strategy & Vision
We build the strategic foundation—often within a 90-day roadmap—that allows your faculty to teach confidently.
Topics include:
-
Defining Your AI Philosophy: creating a mission statement that balances innovation with academic integrity.
-
The "Pedagogy First" Audit: Assessing current curriculum to ensure it prioritizes critical thinking over rote output.
-
Change Management: Guiding stakeholders (board, parents, students, staff) through the cultural shift of AI adoption.
Curriculim & Assessment Redesign
-
Process-Oriented Assessment: Moving grades away from final products and toward the learning journey to minimize cheating.
-
The Return to Dialogue: Structuring courses around dialogue, debate, and in-class discourse.
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Project-Based Learning Frameworks: Designing assignments where AI is a collaborator, not a replacement.
Policy, Ethics, & Integrity
-
Academic Integrity 2.0: Rewriting honor codes to address Generative AI, plagiarism, and attribution.
-
Data Privacy & Safety: navigating the legal and ethical implications of student data in AI models.
-
Equitable Access: ensuring your AI strategy supports neurodiverse learners and doesn't create a digital divide.
Data-Backed Tool Integration
-
The "Tech Second" Selection: identifying specific tools that support your unique pedagogical goals (only after the design is done).
-
Pilot Program Design: Setting up small-scale, measurable tests for new AI apps before school-wide rollout.
-
Infrastructure Review: Ensuring your IT capabilities match your educational aspirations.
Innovative Strategies
for a Competitive Edge
Faculty are burning out trying to catch up. We replace the chaos of 'new tools' with the clarity of good pedagogy.
Overview
Consulting
Needs Assessment
Data Analytics
AI Policy
Responsible AI Integration
Professional Development
AI integration shouldn’t be about buying software; it’s about preserving the human element of education. We partner with leadership teams to navigate the noise, focusing on sustainable pedagogical shifts rather than temporary tech trends.
We begin by auditing your current instructional culture—moving back to dialogical approaches and process-oriented learning—before a single AI tool is introduced. Whether you need a full institutional audit or our customized 90-Day Campus Strategy Roadmap, we build the foundation that allows your faculty to teach confidently.
POPULAR CONSULTING TOPICS:
Institutional Strategy & Vision
We build the strategic foundation—often within a 90-day roadmap—that allows your faculty to teach confidently.
Topics include:
Defining Your AI Philosophy: creating a mission statement that balances innovation with academic integrity.
The "Pedagogy First" Audit: Assessing current curriculum to ensure it prioritizes critical thinking over rote output.
Change Management: Guiding stakeholders (board, parents, students, staff) through the cultural shift of AI adoption.
Curriculim & Assessment Redesign
Process-Oriented Assessment: Moving grades away from final products and toward the learning journey to minimize cheating.
The Return to Dialogue: Structuring courses around dialogue, debate, and in-class discourse.
Project-Based Learning Frameworks: Designing assignments where AI is a collaborator, not a replacement.
Overview
Consulting
AI integration shouldn’t be about buying software; it’s about preserving the human element of education. We partner with leadership teams to navigate the noise, focusing on sustainable pedagogical shifts rather than temporary tech trends.
We begin by auditing your current instructional culture—moving back to dialogical approaches and process-oriented learning—before a single AI tool is introduced. Whether you need a full institutional audit or our customized 90-Day Campus Strategy Roadmap, we build the foundation that allows your faculty to teach confidently.
Responsible AI Integration
Professional Developement
Needs Assessment
AI Policy
Data Analytics
Policy, Ethics, &
Integrity
-
Academic Integrity 2.0: Rewriting honor codes to address Generative AI, plagiarism, and attribution.
-
Data Privacy & Safety: navigating the legal and ethical implications of student data in AI models.
-
Equitable Access: ensuring your AI strategy supports neurodiverse learners and doesn't create a digital divide.
Data-Backed Tool Integration
-
The "Tech Second" Selection: identifying specific tools that support your unique pedagogical goals (only after the design is done).
-
Pilot Program Design: Setting up small-scale, measurable tests for new AI apps before school-wide rollout.
-
Infrastructure Review: Ensuring your IT capabilities match your educational aspirations
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