Financial services

Post LinkedIn lead magnet · Financial services

Your job is already training you for a $10K/month AI business. You just don't see it yet. Everyone thinks AI consulting means you need to be technical. Learn to code. Understand machine learning. Build complex systems. Wrong. The biggest problem companies have with AI right now isn't the tech. The tech works. What they don't have is someone who understands their operations well enough to know WHERE to apply it. Every workflow you've managed. Every process you've improved. Every time you've sat in a meeting thinking "this is so inefficient." That's your consulting toolkit. You just didn't know it yet. Scott Evans spent years in financial services and consulting. When he got into AI, his instinct was "I need to learn how to build AI systems." He didn't. What he actually needed was the thing he'd been doing his whole career: Understanding how businesses work, diagnosing problems, and structuring recommendations. Within months, he closed a $37K deal with a company of over 100 people. He wasn't building anything. He was helping them see what they were missing. Martin Zapata was still at university when he landed a 4-week AI Audit engagement with a 600-employee company. They didn't hire him because he was a tech genius. They hired him because he asked the right questions about their business. Here's what most people get backwards: They wait until they quit their job to start. But your paycheck is your unfair advantage. You can be selective. You can price based on value, not desperation. You can walk away from bad deals and nothing changes. 5-10 hours a week. Evenings. Weekends. That's enough to get this off the ground. I just filmed a full 90-day roadmap breaking down exactly how to go from employed to running a profitable AI consulting business on the side. Comment ROADMAP below and I'll DM it to you. Like, comment ROADMAP, and connect with me so I can send it.

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I mapped every AI automation opportunity across 25 industries. 10-15 pain points each. With the exact positioning, pricing range, and who to sell to. This took me 4 years and 80+ client engagements to figure out. A lot of AI Agencies pick a niche and pray. They don't know the actual pain points. They don't know who the buyer is. They don't know what these companies are already paying for broken solutions. They don't know what the realistic project size is. So they end up competing on price for generic "AI automation" gigs. I've worked with marketing agencies, recruiting firms, e-commerce brands, law firms, real estate companies, healthcare practices, financial services, SaaS companies, manufacturing, construction, logistics, and more. Every single one has 10-15 processes that are bleeding money because they're still done manually. Here's what the guide covers for each industry: → The top 10-15 automation pain points (ranked by ROI) → Who the actual buyer is (CEO, COO, ops manager, etc.) → What they're currently paying for manual labor or broken SaaS → Realistic project pricing ($5K-$60K+ depending on scope) → The discovery questions that unlock the deal → How to position yourself as the expert even if you've never worked in that industry → Red flags to avoid (industries and company sizes that aren't worth it) 25 industries and 300+ specific automation opportunities. This is the cheat code for picking your niche and knowing exactly what to sell before you ever get on a call. What the full guide? 1. Like this post 2. Comment "NICHE" and I'll send the guide (must be connected) Bonus for the first 100 people: I'm also including an ROI calculator you can use on prospect calls. Plug in their numbers and show them exactly what they're losing to manual work every year.

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