I grow businesses like an engineer.

Custom AI tool development typically runs $5,000-$25,000 depending on complexity and scope. Compare that to $75,000+ per year for agency retainers delivering similar capabilities. Most of my projects deliver ROI within the first quarter. I scope every project with a clear budget before writing a line of code.

Most projects deliver working systems in 2-8 weeks. A recent client project — 100+ pages of strategy plus a custom AI tool — shipped in 6 weeks. Simple automation workflows can be live in days. I don't do 6-month timelines. You get working software fast, then we iterate based on real data.

The biggest risk is doing nothing while competitors adopt AI tools that cut their costs and speed up their operations. Implementation risks are manageable: I test everything on my own businesses before recommending it, build incrementally so you see results early, and train your team so you're never dependent on me. You own everything I build.

Look for someone who builds, not just advises. Ask to see working tools they've deployed, not just strategy documents they've written. Check if they have skin in the game — do they use AI in their own business? I run two e-commerce brands on AI tools I built myself. That's the difference between theory and practice.

It's a practical evaluation of where AI and automation will generate the highest return in your specific business. I look at your operations, identify repetitive manual work, assess your existing tech stack, and prioritize implementation by ROI. Not a generic checklist — a targeted plan with specific tools and timelines. Then I build it.

Track what matters: time saved, costs reduced, revenue generated. For my own brands, the math is simple — $75K-$125K in annual agency costs replaced by $2K in AI tools. For clients, I set measurable benchmarks before building anything. If we can't quantify the return, we don't build it.

It depends on your biggest pain point. For content generation: Claude + custom prompt systems. For email automation: Klaviyo with AI-driven segmentation. For ad optimization: AI-assisted bid management across Google, Amazon, and Meta. For operations: custom automation workflows connecting Shopify, Amazon, and your fulfillment systems. I've built and tested all of these on my own e-commerce brands.

Not entirely — but it can replace the $75K-$125K in repetitive work you're paying agencies to do manually. Content generation, email sequences, social media scheduling, reporting, ad copy testing — all of this can be automated with custom AI tools. You still need strategic thinking. But you don't need to pay agency rates for execution work that AI handles better and faster.

Yes — and this is where real experience beats theory. I've built two product brands from zero to multi-platform e-commerce since 2014. I know exactly what breaks when you first launch on Amazon, why Shopify stores don't convert out of the box, and how to avoid the expensive mistakes most businesses make trying to figure it out alone. I coach you through the setup and build the AI tools that make it scale.

Yes. Electricians, landscapers, plumbers, HVAC — any local service business that's invisible online. I build your digital foundation: professional website, Google Business Profile, and local SEO. Then I optimize it for LLM search so AI assistants recommend you when people search for your services. The next generation finds local businesses by asking Siri, ChatGPT, and Google. I make sure you show up in all of them.

Platform fees are low — Shopify starts at $39/month, Amazon at $39.99/month. The real investment is the setup: getting listings right, content optimized, and systems in place so you don't waste money on ads before the foundation is solid. My coaching engagements typically run $3,000–$8,000 for the initial setup phase. After that you're running independently with AI tools I've built for you.

An engineer who works inside your business instead of handing you a report. I watch how the work really runs, write down every step, and build the fix inside the tools you already use. Then I measure it against the numbers we wrote down first. It is how I have worked since my engineering years: on the floor, not in a meeting room.

Usually not. I build inside the tools you already use, such as your inbox, your accounting system, your store or your booking system. Your team keeps working where they work today. When a decision needs a person, it arrives as an email or a Slack message with a clear yes or no.

The work changes, the decisions stay with people. When I sort a process, the first steps to go are the ones nobody wanted: chasing, re-typing and doing the same check twice. Many of those are deleted or handled by plain rules, with no AI at all. Approvals, signatures, payments and client conversations stay with your team.