Start with a baseline
Before using AI for a task, note how long it takes today. For example, writing a proposal might take ninety minutes, or answering customer emails might take an hour each morning. Without a baseline, it's hard to know what changed.
Track time saved
After using AI for a few weeks, measure the same tasks again. Multiply time saved by how often the task happens to see weekly or monthly impact.
Look at quality and results
- Faster response times to leads
- More consistent follow-up
- Fewer customer questions
- More published content
- Better reviews
Time savings matter, but results matter more.
Count the costs
Include subscription costs and the time spent learning and reviewing output. AI is worth it when benefits clearly exceed these costs.
Ask your team
Employees often know which uses save the most time and which create extra work. Their feedback is valuable.
Drop what doesn't work
Not every AI use will be worthwhile. Stop using tools or workflows that don't deliver clear benefits.
Review quarterly
A short quarterly review helps you focus on the AI uses that truly help your business grow.
Keep a simple log
A basic spreadsheet with the task, date, time spent, and a quick note on quality is enough. After a month, the patterns are usually clear.
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