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1

CHANGE Framework

Culture readiness assessment
2

Priority Matrix

Use case prioritization
3

6 Primitives

Core AI capabilities
4

Context Engineering

The Simple Pattern

The CHANGE Framework

Building an AI-Ready Culture: Assess and develop these six dimensions before and during your AI transformation.

The CHANGE Framework - Building AI-Ready Culture

Click image to enlarge

Deep Dive: Each Dimension

C

Communication

What It Means: Transparent, consistent messaging about AI's role in the organization.

Key Questions:

  • Is leadership talking about AI openly?
  • Do employees know what's expected of them?
  • Is there a clear vision for AI's role?
  • Are successes and learnings being shared?
H

Human Oversight

What It Means: Humans stay in the loop for critical decisions with clear review processes.

Key Questions:

  • Are there clear review processes?
  • Do people know when to trust vs. verify?
  • Who has final say on AI-assisted decisions?
  • What's the escalation path for concerns?
A

Attitude

What It Means: Proactive, experimental mindset where failure is learning, not punishment.

Key Questions:

  • Is failure punished or treated as learning?
  • Do people feel safe to experiment?
  • Is there curiosity about AI possibilities?
  • Are early adopters celebrated or side-eyed?
N

Network

What It Means: Champions and communities of practice sharing knowledge across teams.

Key Questions:

  • Are there internal AI advocates/champions?
  • Is knowledge shared or siloed?
  • Do teams collaborate on AI use cases?
  • Is there a community of practice?
G

Governance

What It Means: Clear policies for AI use with risk management and compliance guidelines.

Key Questions:

  • Are there guidelines for AI use?
  • Do people know what's allowed?
  • How is sensitive data handled?
  • What compliance requirements apply?
E

Enablement

What It Means: Tools, training, time, and resources to succeed with AI.

Key Questions:

  • Do people have access to AI tools?
  • Is there dedicated learning time?
  • Are training resources available?
  • Is there budget for experimentation?

How to Use CHANGE

Diagnostic: Assess where you stand on each dimension. Roadmap: Identify which dimensions need work. Language: Use it as a common vocabulary for AI readiness discussions.

Use Case Priority Matrix

The key framework for deciding what to work on first. Plot use cases on two axes: Impact and Difficulty.

Low Difficulty, High Impact

Quick Wins

Do First — Easy to implement, immediate value. This is where we start with every client.

Examples: Email drafting/editing, meeting prep, first-draft documents, research summaries, FAQ responses

High Difficulty, High Impact

Strategic Bets

Do Later — Requires investment but transformational. Only after culture shift and foundational skills are solid.

Examples: Database integrations, custom agents with MCPs, multi-agent workflows, automated pipelines

Low Difficulty, Low Impact

Fill-Ins

Do If Time — Easy but not game-changing. Mention as possibilities, don't prioritize.

Examples: Formatting documents, simple translations, basic scheduling

High Difficulty, Low Impact

Avoid

Don't Do — Hard to do and not worth it. Actively steer away from these.

Examples: Complex integrations for rarely-used processes, over-engineered solutions for simple problems

Key Teaching Point

Most clients want to jump to Strategic Bets (shiny objects). Discipline is starting with Quick Wins to build muscle. Each win builds confidence and skills for the next level.

The 6 Use Case Primitives

Every AI use case is a combination of these fundamental capabilities. Identify which primitives matter most for your role, then start with Quick Wins in those areas.

1

Content Creation

Draft, edit, adapt written content

Quick Wins: Email editing, first drafts, proofreading

2

Research

Find, compile, summarize information

Quick Wins: Competitor lookup, meeting prep, market research

3

Coding

Write, debug, explain code

Quick Wins: Simple scripts, formula help, no-code prototypes

4

Data Analysis

Interpret, visualize, find patterns

Quick Wins: Spreadsheet analysis, trend identification

5

Ideation & Strategy

Brainstorm, plan, pressure-test ideas

Quick Wins: Campaign brainstorming, decision frameworks

6

Automation

Recurring tasks on autopilot

Quick Wins: Meeting summaries, weekly updates

Context Engineering: The Simple Pattern

The foundation of effective AI communication. Master this pattern and you'll outperform 90% of AI users.

ROLE → Who is the AI? What expertise should it have?
GOAL → What are you trying to accomplish?
CONTEXT → What does the AI need to know?
CONSTRAINTS → What should it NOT do? What are the limits?
FORMAT → What should the output look like?
ITERATE → Refine, don't accept the first output

Quality > Quantity

Quality of context matters more than quantity. A few well-chosen details beat a wall of text. Be selective about what you include.

Be Explicit

Who is the audience? What does "good" look like? The AI doesn't know what you know—tell it. Assume nothing is obvious.

Iterate Relentlessly

"Make this better" and "What am I missing?" are valid prompts. Save refined prompts as reusable templates for future use.

The Iteration Imperative

The first output is a draft. Mastery comes from the 10th. Most people give up after output #1. Treat AI like a collaborator, not a vending machine.

Additional Resources

More materials and tools coming soon. Check back regularly for updates.

1

Prompt Library

Coming Soon

A curated collection of proven prompts for common use cases.

2

Video Tutorials

Coming Soon

Step-by-step video guides for key frameworks and techniques.

3

Agent Templates

Coming Soon

Pre-built agents you can customize for your specific workflows.

Need Help Implementing?

These frameworks are most powerful with guided implementation. Let's discuss how to apply them to your specific situation.

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