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AI Consultant Blueprint: Land Clients & Automate

Follow this step‑by‑step process to identify bottlenecks, build AI systems, and get paid as an AI consultant.

Based on: A Practical Guide to Becoming an AI Consultant in 2027 by Nick Saraev

A Practical Guide to Becoming an AI Consultant in 2027▶ Watch the source video on YouTube

Why You Need This Checklist

What if the most recession-proof job in an AI-driven economy isn't the one being automated — it's the one doing the automating? If you've been watching AI eat industry after industry and wondering where you fit in, Nick Saraev has an answer that might surprise you: AI consulting is wide open, massively lucrative, and most people have no idea how it actually works.

Here's the uncomfortable truth. According to the US Census Bureau, somewhere between 15 and 20% of US businesses actually used AI in a recent six-month window. Even if that number has climbed to 30 or 40%, the gap between what businesses think they're doing with AI and what they could be doing is enormous. Business owners know AI is important. They just don't have a solution yet. That's exactly where you come in — and exactly where the money is.

Imagine walking into a client conversation, asking the right four questions, pinpointing the single constraint costing them the most money, building a system that fixes it in an afternoon, and handing them infrastructure that runs without you. Nick and his team hit $70,000 per month doing this. He personally helped take one company from $3 million a month to $10 million a month by targeting just one bottleneck. This isn't theory — it's a repeatable process that works across small businesses and enterprise alike.

Nick Saraev has been doing this professionally for years, and he breaks it down with unusual clarity: find the bottleneck using the RACE framework (Reach, Acquire, Convert, Expand), map the solution using goal factoring, build and deploy with Claude or equivalent frontier models, iterate using evals so you actually know your systems work, and sync knowledge across the team so results compound over time. Only one of those six steps involves technical building. The rest is structured thinking and clear communication — skills you can develop fast.

This checklist distills Nick's entire consulting framework into a clean, actionable sequence you can follow on your very first client engagement. Every step is here: the diagnostic questions to ask, the framework for identifying what to build, how to deploy and automate it so it runs without you, and how to prove your results so clients keep paying. Stop watching AI change the economy and start getting paid to guide businesses through it. This checklist is your starting point.

What's Inside — Preview

Every checklist item comes with actionable notes to guide you — things like "Don't forget to do this before you start," "Avoid this common mistake," or "Set a reminder for 30 days out." Nothing vague, just clear next steps.

LEARN Read 'The Goal' by Eli Goldratt before your first client call
LEARN Understand the core AI consultant role before pitching anyone
LEARN Memorize the RACE framework as your diagnostic tool for every client
DO On your first client call, walk through each RACE letter and ask for specific numbers
DECIDE Identify the single bottleneck before proposing any solution

+ 18 more action items inside...

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