Most AI projects fail for one boring reason: they start too big. The fastest path to results is to pick one workflow, build it properly, measure it, then scale.
Here’s a practical 30-day roadmap you can follow.
Days 1–3: Pick the workflow (do not overthink it)
- List top 10 repetitive admin tasks
- Choose the one with the biggest pain and clearest ROI
- Define success metrics (time saved, bookings, cash collected)
Days 4–7: Map the workflow end-to-end
- Triggers, steps, owners, handoffs
- Where errors happen
- What data you need
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Days 8–14: Build the first version
- Keep scope tight
- Add logging and human handoff rules
Days 15–21: Test with real scenarios
- Edge cases
- Tone and brand alignment
- Compliance considerations
Days 22–30: Roll out and measure
- Train staff
- Monitor outcomes weekly
- Decide what to improve next
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