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What to Measure in Your First 30 Days With a New AI Workflow

Skip vanity metrics. These four numbers tell you whether an AI experiment is worth expanding — or stopping before it wastes more time.

Business owners hear bold ROI claims from software vendors. Your first month should focus on observable operational changes — not predicted five-year savings. Keep measurement lightweight so your team actually does it.

1. Minutes saved per task (estimate honestly)

Ask staff to log time for one week before AI and one week after on the same task. Use rounded estimates; precision matters less than direction.

2. Rework rate

Count how often AI output gets heavily edited or discarded. Above 40% rework may mean prompts, templates, or tool choice need adjustment — not more usage.

3. Customer-visible errors

Track mistakes that reached a client: wrong dates, incorrect prices, tone issues. Zero tolerance for rising error counts.

4. Subscription cost per hour saved

Divide monthly tool cost by total hours saved. Compare to your average labor cost. If AI costs more than the time it frees, revisit scope or cancel.

Review these four metrics on day 30 with whoever owns the workflow. Decide: expand, adjust, or stop. Stopping a failed pilot is success, not failure.

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