AI Projects: Too Small, Too Big, or Just Right?
- Jonathan Razza
- Sep 16
- 1 min read
Companies commonly make one of two mistakes when choosing where to apply AI.
They either pursue projects with negligible business impact, leading to a disappointment when a large payoff doesn’t materialize.
Or they select overly ambitious initiatives with a low likelihood of success.
The optimal approach? Find your "Goldilocks zone": a project with a clear, strong ROI that isn’t overly complex.
Start with tasks where occasional errors are acceptable, just as they would be with human execution.
This allows you to refine your AI processes without critical consequences, and you can always layer quality checks when needed.
Here's the key insight: Look for tasks people should be doing but aren't - due to competing priorities and lack of time.
When these tasks are neglected, the cost of occasional error is usually minimal compared to not doing them at all.
Two examples that often get skipped but drive real value:
→ Automating account reps' regular client follow-ups (improving retention and growth)
→ Updating the CRM with new client contact information (ensuring reliable communication)
What tasks is your team consistently putting off that could be perfect AI candidates?
Find your AI Goldilocks zone and start implementing today.




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