AI Traction Method Framework

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Framework

AI Traction Method: The 3-Phase Framework

70-80%

potential cost savings

The AI Traction Method is a systematic approach to identifying, prioritizing, and implementing AI projects in your business. It combines ROI calculation with practical implementation levels to help decision-makers focus on high-impact opportunities.

01

What is AI Traction?

AI Traction measures the combined impact of AI on your business through two key multipliers: Automation (cost savings through efficiency) and Augmentation (revenue growth through enhanced capabilities). The formula is simple: AI Traction = Savings + Growth.

02

The 3 Levels of Implementation

Not every AI project needs full integration. The framework defines three levels: Manual (prompt-based), Batch (scheduled automation), and Integrated (real-time systems). Start where you are, scale as needed.

Methodology

The Visual Framework

Explore the key components of the AI Traction method from the book

The 3-Phase Framework
1

Chapter 4

The 3-Phase Framework

Identify > Prioritize > Implement

AI as Business Leverage
2

Chapter 5

AI as Business Leverage

Automation + Augmentation = Traction

Implementation Roadmap
3

Chapter 6

Implementation Roadmap

From quick wins to full integration


FAQ

Frequently Asked Questions

How do I prioritize AI projects?

Use the AI Traction scoring system: evaluate each project on Automation potential (cost savings) and Augmentation potential (revenue impact). Projects with high scores on both dimensions should be prioritized. Start with high-impact, low-complexity opportunities.

How to calculate AI ROI?

AI ROI combines two factors: Automation savings (reduced labor, faster processes, fewer errors) and Augmentation gains (new revenue, better decisions, enhanced products). The AI Traction Calculator helps you estimate both by analyzing current costs, time spent, and potential improvements.

What is AI Traction?

AI Traction is a framework for measuring and maximizing AI's business impact. It quantifies how AI automation saves costs while AI augmentation drives growth. The combined score helps prioritize projects and demonstrate value to stakeholders.

How to evaluate AI automation potential?

Assess processes on three criteria: repetitiveness (how often the task repeats), data availability (is the information digital and accessible), and rule-based nature (can decisions be codified). Higher scores indicate better automation candidates.

Which AI projects should I start with?

Begin with 'quick wins' - projects that have clear ROI, use existing data, require minimal integration, and have measurable outcomes. Common starting points include document processing, customer service automation, and content generation.


Preview

From the Book

Key illustrations and concepts from the AI Traction book

Down the Rabbit Hole
Ch. 1-2

Down the Rabbit Hole

The AI opportunity awaits

AI in Marketing & Sales
Ch. 7-10

AI in Marketing & Sales

Practical applications

AI Traction Book

Complete Book

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