How to Actually Price AI Automation Services (Step By Step)
About This Video
Pricing AI automation services is one of the hardest challenges for builders and agency owners. Charge too little and you burn out on low-margin projects. Charge too much and you lose deals to competitors. Michele Torti solves this problem with a clear, repeatable pricing framework built specifically for AI automation work. He walks through how to scope an automation project, calculate the value it delivers to the client, and set a price that reflects that value rather than just your hours. The video covers multiple pricing models --- project-based, retainer, and value-based --- with pros and cons for each so you can choose what fits your business stage. Michele also addresses the psychological side of pricing: how to present your quote, handle pushback, and negotiate without devaluing your work. Real examples are included, from small automations under $1,000 to enterprise-scale projects commanding five figures. If you've been pulling numbers out of thin air or matching what competitors charge, this video will give you a systematic approach that makes pricing feel logical rather than lucky.
What You'll Learn
- •How to calculate the ROI of an AI automation for the client and use that number to anchor your pricing
- •Three distinct pricing models for automation services: flat project fees, monthly retainers, and performance-based deals
- •A step-by-step scoping process that prevents scope creep and ensures you're paid for the full value of what you build
- •How to structure your proposal and pricing conversation so the client sees the investment as obviously worthwhile
- •What to charge when you're a beginner versus when you have a portfolio --- and when to raise your rates
- •Handling the "I can get this cheaper" objection with data, not defensiveness
- •Real pricing examples from Michele's own projects, including what he charged and why, so you can benchmark your own rates
