What is The Kendall Framework?

The Kendall Framework is "How to Think About AI". A fast, data-driven methodology designed to help organizations, teams, entrepreneurs, and governments rapidly identify, articulate, and prioritize AI opportunities. Through structured workshops, the framework transforms complex challenges into actionable insights by guiding participants to articulate problems clearly, vote on priorities, and align on solutions.
Kendall framework

Seven Principles (and One Habit) of AI Leadership

A practical framework for building high-performance AI systems—through clarity, context, collaboration, and a culture that never stops evolving.

1.) Context is King

AI only becomes truly useful when it understands you—because structured context turns generic intelligence into tailored performance.
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2.) Language is the Raw Material of AI

In AI, language isn’t just how you communicate—it’s the material you build with, and the sharper it is, the stronger your results.
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3.) Problems fuel AI

AI isn’t magic; it’s momentum—give it a real problem, and it turns complexity into breakthroughs.
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4.) "Who" Anchors AI

AI gets sharper, faster, and more useful when you start with who it’s speaking for.
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5.) AI Needs to Know Your Rule to Play Your Game

AI can’t follow your rules until you teach it the playbook—your policies, values, and boundaries turn it from a wildcard into a trusted teammate.
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6.) Assemble AI Like a Truck

AI thrives not on scattered insights but on well-structured inputs—because the path from prototype to performance is built block by block.
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7.)AI is a Team Sport

The smartest AI comes from shared intelligence—when teams align, structure their knowledge, and build context together, everyone wins.
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Continuous Improvement is Non-Negotiable

AI excellence isn’t a one-time win—it’s a habit, built through constant learning, iteration, and a culture that never stops evolving.
AI adoption is no longer an option but a necessity. The Kendall Framework solves the “Where to Start?” challenge by enabling teams to align on AI opportunities, prioritize their most impactful problems, and create a clear roadmap for AI deployment.

How It Works

In a Team Based Approach, The Kendall Framework Adapts The Best of Lean Manufacturing, Design Thinking, and Agile for Today's AI Challenges.

  • Problem First Approach

    Workshops focus on defining and prioritizing problems, ensuring that AI investments are aligned with real needs, reducing waste, and maximizing returns.

  • AI Roles and Problem Identification

    Participants define their roles and articulate problems from their unique perspectives. This data-driven approach ensures all voices are heard, and key issues are accurately captured.

  • Team Collaborative Scoring

    Participants vote on which problems should be solved first, resulting in a clear, shared understanding of priorities.

  • Human In The Loop AI Training

    Data generated through the workshops is used to train AI models, create high-fidelity datasets, and improve AI solutions in real-time.

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What people have been saying about the kendall project by Declan Gulley

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