How to Implement AI Strategically

You don't need more AI tools → You need an AI strategy. Everyone's rushing to "use AI in their business." But randomly testing tools isn't a strategy. Here's how to actually implement AI effectively 👇 First, work backwards: → What tasks consume most of your time? → Where do you need faster output? → What could be improved with automation? Then, audit your workflow: → What requires human creativity? → What's repetitive but necessary? → What needs a human final touch? Now choose your AI tools based on needs: Low-complexity tasks: → Email drafts → Social media captions → Basic research → Meeting summaries High-complexity tasks: → Content strategy → Market analysis → Customer insights → Product development Implementation approach: → Start with one process → Test and measure results → Document what works → Scale gradually Pick 2-3 use cases maximum. Master them before adding more. Remember: AI is a tool, not a solution. The key is knowing where it fits in YOUR business. Success comes from strategy first, tools second. #AIStrategy #BusinessGrowth #Productivity P.S. Want my tested AI workflows? Drop a "+" below.

"We need an AI strategy!" 𝘙𝘦𝘤𝘰𝘳𝘥 𝘴𝘤𝘳𝘢𝘵𝘤𝘩 Hold up. That's the wrong question. The right question? "What business problem are we actually trying to solve?" I've sat in countless board meetings where executives demand AI initiatives – not because they've identified a problem AI can solve, but because they're afraid of being left behind. This FOMO-driven approach is precisely how companies end up in what I call "perpetual POC purgatory" – running endless proofs of concept that never see production. Here's the uncomfortable truth: Your goal isn't to use AI for the sake of AI. Your goal is to solve real business problems. Sometimes the best solution is a regular hammer, not a sledgehammer. So when leadership pushes AI without purpose, redirect the conversation: → "What business outcome are we trying to drive?” → “What’s the actual problem we’re solving?” → “Is AI the most effective tool for that — or just the most exciting one?” Next, how do you determine if AI is the right solution? I recommend this straightforward approach that keeps business problems at the center: 1. 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗽𝗿𝗲𝗰𝗶𝘀𝗲𝗹𝘆 - What specifically are you trying to solve? The more precisely you can articulate the problem, the easier it becomes to evaluate whether AI is appropriate. 2. 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗳𝗶𝗿𝘀𝘁 - Could existing technology or processes handle this faster, cheaper, and more reliably? 3. 𝗟𝗲𝗮𝗻 𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝘁𝘀 - If the problem seems AI-suitable, validate it with people who’ve delivered outcomes — not just hype. 4. Be brutally realistic about your organization's maturity - Do you have the data infrastructure, talent, and risk tolerance necessary for an AI implementation? Remember this fundamental truth: AI is not a silver bullet. Even seemingly simple AI projects require time, focus, alignment, and resilience to implement successfully. The companies winning with AI aren't the ones with the flashiest technology. They're the ones methodically solving pressing business challenges with the most appropriate tools—AI or otherwise. 𝗜’𝗱 𝗹𝗼𝘃𝗲 𝘁𝗼 𝗵𝗲𝗮𝗿 𝗳𝗿𝗼𝗺 𝘆𝗼𝘂: What business problem are you trying to solve that might (or might not) actually need AI?

Most of the AI business advice online is full of noise. I’ve spent the past year interacting with AI more than I did with real humans (RIP social life) and here’s how I think you can best leverage AI. The key to success? Have a strategy. If you want to lose weight, you can dive deep into the rabbit hole, try everything, then burnout. Or you can hire someone to give you a strategy: First count calories, then increase physical activity, then get enough sleep… etc. You don’t need diet pills or liposuction. Stacking small changes gradually is the only way to sustainable change. So here’s the prompts I’d use: *Replace text in [ ] You are a digital transformation and AI expert who helps [small and medium-sized commercial real estate developers and investors] streamline operations, save time, and scale impact. I want you to act as a trusted advisor to help me develop a focused AI strategy and implementation plan tailored to my business. Here is my goal: I want to identify the 20% of AI tools and workflows that will give me 80% of the impact, so I can build an efficient and integrated workflow using the latest practical technology - without creating bloat or needing a large engineering team. I prefer low-code or no-code solutions where possible. Start by asking me a series of thoughtful, structured questions to understand: - My business model and processes - My typical daily workflows - My existing tools and technology stack - My level of technical skill - My goals and pain points - Any constraints (budget, timeline, team size) Once you have enough information, propose a simple and actionable AI strategy, prioritized by impact and ease of implementation. Present this as a clear step-by-step plan I can follow, including tool recommendations where relevant.