AI Getting Started Guide

Problem Fit

• Does this solve a real problem I have today?
• Can I measure the time/money this will save?
• Is this problem frequent enough to justify automation?

Ease of Use

• Can I (or my team) learn this in under an hour?
• Does it integrate with tools I already use?
• Is there good documentation and support?

Cost & Value

• Is there a free trial or freemium option?
• Does the pricing scale reasonably as I grow?
• What's the ROI timeline (when will this pay for itself)?

Trust & Security

• Where does my data go? Is it used to train AI models?
• Is the company established and likely to be around?
• Does it meet any compliance requirements I have (GDPR, etc.)?

✗ Trying to automate everything at once

✓ Instead: Start with one use case, prove value, then expand

✗ Expecting AI to be perfect from day one

✓ Instead: Plan for a learning curve and iteration period

✗ Ignoring your team's concerns

✓ Instead: Involve team early, address fears, highlight benefits

✗ Not setting clear success metrics

✓ Instead: Define what success looks like before you start

✗ Choosing tools based on hype

✓ Instead: Match tools to your specific needs and capabilities

✗ Forgetting about data quality

✓ Instead: Garbage in, garbage out — clean your data first