AI is powerful, but it's not magic. Here are the three most common reasons automation projects fail to deliver.
1. Automating a Broken Process
If your manual workflow is messy, automating it just makes it messy *faster*. Fix the logic before you apply the code.
2. Lack of Human-in-the-loop (HITL)
Expecting AI to handle 100% of the nuance in human communication or creative work is a recipe for disaster. Design systems where AI does the heavy lifting but humans provide the final check.
3. Poor Data Quality
AI is only as good as the data it feeds on. If your CRM is a mess, your "AI Insights" will be a mess too.
Avoid these, and you're already ahead of 90% of the competition.