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McKinsey study found: only 44% of automation projects deliver their intended benefits. Most failures start the same way → automating what sounds exciting instead of what's expensive. Here's the prompt I use with clients to find their highest-ROI opportunities: ------------------------------ "Here's a breakdown of what my team does in a typical week: [List each recurring task with: who does it, how long it takes, how often it happens] For each task, evaluate: 1. Repetition score (1-10): How often is this task repeated? 2. Rules-based score (1-10): How much of this follows a clear process vs. requires judgment? 3. Time cost: Hours per week × hourly rate 4. Error risk: What happens if this is done wrong? Then rank all tasks by: - Highest time cost + highest repetition + highest rules-based score = automate first - Low rules-based score but high time cost = consider outsourcing instead - High error risk + high repetition = automation is critical Give me the top 3 automation opportunities with estimated ROI and implementation difficulty." ------------------------------ High time cost + clear process + constant repetition = your first automation target. Not the stuff that sounds impressive on LinkedIn. P.S. Comment “AUDIT” if you want a free business audit to find out what repetitive tasks could be automated using AI.

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Comment “AUDIT” if you want a free business audit to find out what repetitive tasks could be automated using AI.

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