Go into a company and audit its operations, systems, and processes to find every place AI can save time and cut costs — charge $5,000 for the audit, then convert it into a $50,000 implementation project.
Dan rates it S-tier and ranks it above lead generation: “$5,000 audit → $50,000 implementation — that's the most meat on the bone.” Competition is low because “almost nobody actually does this, and does it well.”
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
[Video] Dan: you get paid to walk in and audit a company's operations, systems, and processes, finding every place AI can save time, cut waste, and make things better. You can charge $5,000 for the audit and convert it into a potential $50,000 implementation project.
The first audit client is someone who already trusts you, because nobody hands a stranger $5,000 to walk through their operations.
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Data credibility: ⚠️ An opportunity direction, not a specific company; what Dan provides is a pricing framework, not verified revenue. All revenue figures are founder-reported or estimated by the video creator — unaudited.
The first money in this model is the audit itself, and the price is deliberate: $5,000 is small enough to be an easy yes and is really the paid entrance to a $50,000 implementation.
The turn happens the first time an audit converts. Dan's reason for ranking this above lead generation is exactly that — more meat on the bones, because you can keep selling the same client and being inside the business shows you the next opportunity, whereas a lead-gen deal is a transaction that ends.
Before the first invoice there is a stretch of messages that go unanswered, and the only honest reading of it comes from Dan's validation test: once somebody agrees the problem is real, ask whether they would pay to solve it today.
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