Stop guessing whether AI is right for your task
AI is powerful, but it's not right for everything. Use it wrong and you'll waste time, money, or worse—make critical mistakes.
This framework gives you a systematic way to decide when AI helps and when it hurts.
What's inside
Decision tree: Follow simple questions to determine if AI fits your use case
Risk assessment: Evaluate stakes, accuracy needs, and consequences
Cost-benefit analysis: Compare AI costs (time, money, risk) vs benefits
Checklist: 15 questions to ask before using AI
Red flags: Clear signs AI is inappropriate
Case studies: 10 examples of good and bad AI decisions
Use this framework for
- Deciding if AI can automate a task
- Evaluating AI vendor pitches
- Setting team AI policies
- Avoiding costly AI mistakes
- Choosing between AI and human labor