The AI Implementation Plan

Here's where you level up from 'person who uses AI' to 'person who implements AI strategy.' Big difference.

This week, you're going to write an AI Implementation Plan for your company (or a hypothetical development firm). This is the kind of document that makes executives pay attention and boards take notice. And yes, you'll use AI to help write it - because that's kind of the whole point.

Your plan should cover: 1. Current State Assessment: What tasks are manual today? Where are the bottlenecks? What's costing you time and money? 2. Opportunity Mapping: For each pain point, what AI/automation solution could address it? Be specific - which tool, what workflow. 3. Priority Matrix: Rank by impact (how much time/money saved) vs. effort (how hard to implement). Start with high-impact, low-effort wins. 4. Implementation Timeline: Phase the rollout. Quick wins first (Weeks 1-2), medium projects (Month 1-2), major systems (Quarter 2-3). 5. Budget: What does this cost? Most of it's free or cheap. Show the ROI. 6. Risk & Mitigation: What could go wrong? How do you prevent it? (Hint: always have a human review AI output for important decisions.)

Continue working through Salesforce Trailhead AI trails and knock out 3-4 more DeepLearning.AI short courses. Recommended: 'Building Systems with the ChatGPT API' and any courses on AI agents.

By the end of this week, you should be able to walk into a meeting, present an AI strategy, and have people genuinely impressed. That's not four years of school. That's eight weeks of focused work.