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Free Download AI & Automation Clients Who Buys, Why, How to Reach Them
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English (US) | Duration: 5h 10m | Size: 1.37 GB
Find the real buyer for your AI and automation work, qualify them in one call, and reach them without cold pitching
What you'll learn
Name your AI and automation buyer in one sentence, with a job title and the problem they own
Recognise the five buyer types who sign for AI and automation work and what each is really paying for
Tell a budget holder from an enthusiast before you spend a week writing a proposal
Read the four signals that say a company has both urgency and money for this work
Disqualify a poor-fit prospect in ten minutes without damaging the relationship
Find where your specific buyer already gathers, online and off, and be useful there
Write a first message that gets a reply because it contains work, not a pitch
Run a first conversation that ends in a paid diagnostic rather than a free consultation
Price AI and automation work when you cannot yet see inside their process
Turn one delivered project into two more conversations, deliberately
Build a repeatable weekly routine that keeps the pipeline from going empty
Decide when to say no, and why turning work down protects the work you take
Requirements
You can already build a basic automation - a script, an agent brief, or an n8n flow
One automation you have built, or could build in a week, to use in the exercises
No sales background needed. No CRM, no tools to buy.
Description
This course contains the use of artificial intelligence.
AI is used to reframe the words, fixing spelling mistakes and grammatical mistakes and audio conversion.
You can build the thing. That turned out to be the easy part. Most people who learn this work - AI agents, n8n, scripts, MCP, LLM steps - hit the same wall about a month later. They have a working demo, they have told a few people, and nothing has happened. Not because the work is bad. Because "any business with a repetitive process" is not a customer, it is a Description of the entire economy, and you cannot sell to that.
This course is about the half nobody teaches. Who actually buys AI and automation work, why they buy it, how to tell in one conversation whether a budget exists, and how to reach those people in a way that gets a reply. WHAT YOU WILL BE ABLE TO DO
Name your buyer in one sentence, with a job title and a problem. Recognise the five buyer types who sign for this work and what each one is actually paying for. Read the signals that a company has budget and urgency, before you spend a week on a proposal. Disqualify a bad fit in ten minutes without burning the relationship. Reach people through work rather than pitches. Run a first conversation that ends in a paid diagnostic instead of a free consultation. Price work when you cannot yet see inside their process. And build a small pipeline that keeps producing conversations after the first ones run out.
HOW IT IS TAUGHT
Every section is built on the same shape: what people actually do, why it fails, what works instead, and a specific thing to do this week. The examples are composite - real situations, no real names - drawn from operations and supply chain work where the buying decisions are unglamorous and the budgets are real.
WHO IT IS NOT FOR
This is not a course on building AI agents or automations. If you cannot yet build one, learn that first. This assumes you can already deliver, and that the problem in front of you is finding somebody who will pay for it.
Bring one automation you have already built, or one you could build in a week. You will use it in every practical exercise.
Who this course is for
People who learned to build AI agents and automations and cannot find anyone to pay for them
Freelancers and consultants adding AI and automation to what they already sell
Operations and supply chain people who want to sell this work inside their own company
Small agency owners whose lead flow depends entirely on referrals
Anyone whose AI demo impressed people and produced no revenue
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