Cutting Through Complexity

AI decisions can feel overwhelming. This simple framework helps you evaluate opportunities systematically and make confident choices.

The Framework: Four Questions

1. Is There a Real Problem?

Before considering AI, clarify the problem:

What specific outcome do you want to improve?
How do you measure success?
Is this a real priority for the business?

If unclear: Stop. Define the problem first.

2. Is AI the Right Solution?

Not every problem needs AI:

Would simpler solutions work?
Is the problem suited to AI strengths?
Is AI solving a symptom or root cause?

If alternatives exist: Consider them seriously.

3. Are You Ready?

Success requires preparation:

Do you have the necessary data?
Is the organization prepared to adopt?
Do you have resources for implementation?

If not ready: Address gaps before proceeding.

4. Is the Investment Justified?

Does the business case make sense?

What are realistic costs (all-in)?
What are realistic benefits?
What are the risks if it fails?
Are there better uses for these resources?

If unclear or negative: Reconsider or wait.

Using the Framework

For each AI opportunity:

Work through all four questions honestly
Document your answers
Discuss with stakeholders
Make a decision you can justify

Common Outcomes

"Proceed" - Clear problem, AI fits, ready, justified investment
"Prepare first" - Good opportunity but gaps to address
"Reconsider" - Problem unclear or AI not the right fit
"Wait" - Not the right time or investment

The Value of Process

The framework's value isn't just the decision—it's the clarity. Working through these questions reveals assumptions, identifies gaps, and builds alignment.

AI First Step takes you through this framework for your specific situation—ensuring your AI decisions are well-reasoned and defensible.

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