The Federal Trade Commission has charged a business-opportunity scheme called Ecommerce Empire Builders (EEB) with falsely claiming it could help consumers build an "AI-powered Ecommerce Empire" through training programs costing almost $2,000 or a "done for you" online storefront priced at tens of thousands of dollars.DOCUMENTED
The case is one of five the FTC announced together as part of its Operation AI Comply sweep, targeting companies the agency says used artificial-intelligence branding to power deceptive business practices.DOCUMENTED
- EEB's CEO, Peter Prusinowski, allegedly used up to $35,000 from customers who purchased stores.
- Marketing claimed consumers could "skip the guesswork and start a million-dollar business today" using AI.
- Social media ads claimed clients could make $10,000 monthly, which the FTC says is unsubstantiated.
- A federal court temporarily halted the scheme and appointed a receiver.
- The complaint was filed in the U.S. District Court for the Eastern District of Pennsylvania.
The pitch: skip the guesswork
According to the FTC's complaint, EEB encouraged consumers to "skip the guesswork and start a million-dollar business today" by harnessing the "power of artificial intelligence" and the company's supposed proprietary strategies.DOCUMENTED In social media advertisements, EEB claimed its clients could make $10,000 a month — a figure the FTC's complaint alleges the company had no evidence to support.DOCUMENTED
The complaint alleges that EEB's CEO, Peter Prusinowski, used as much as $35,000 from consumers who purchased a "done for you" store to enrich himself, while failing to deliver on the scheme's promises of significant income from selling goods online.DOCUMENTED
Refunds denied or partial
Numerous consumers complained that the stores they purchased from EEB made little or no money, according to the complaint, and that the company resisted providing refunds — in many cases either denying refund requests outright or providing only a partial refund.DOCUMENTED That pattern echoes complaints the FTC has documented in similar business-opportunity cases, where a company's advertised buyback or refund guarantee functions less as a genuine safety net for disappointed customers than as a marketing device to overcome a buyer's hesitation at the point of sale.REVIEWED
Court action
As a result of the FTC's complaint, a federal court issued an order temporarily halting the scheme and putting it under the control of a receiver.DOCUMENTED The Commission vote authorizing the staff to file the complaint against Prusinowski and his company was 5-0, and the case was filed in the U.S. District Court for the Eastern District of Pennsylvania, where it remains ongoing and will be decided by a federal court.DOCUMENTED
Marketing told consumers to "skip the guesswork and start a million-dollar business today." The complaint alleges the company had no evidence its $10,000-a-month income claim was true.
Why "done for you" stores carry particular risk
EEB's model — selling a fully built online store rather than merely coaching a buyer on how to build one — is designed to appeal to consumers who want a passive-income opportunity without learning e-commerce operations themselves.REVIEWED That structure also means the buyer has less visibility into how the store was actually built, what products it sells, or why it might or might not succeed, leaving them largely dependent on the seller's representations about likely performance — representations the FTC's complaint alleges were not backed by evidence in EEB's case.REVIEWED
Part of a broader AI-storefront pattern
EEB is one of three separate storefront-focused business-opportunity operations named in the FTC's September 2024 sweep, alongside Ascend Ecom and FBA Machine — all of which marketed AI as the mechanism that would let a purchased store outperform a typical do-it-yourself online shop.REVIEWED The FTC noted that the sweep built on an earlier action against a similar scheme called Automators, suggesting the online-storefront business-opportunity model, regardless of which company operates it, has drawn sustained scrutiny as a category rather than a one-off enforcement target.REVIEWED
Consumers who believe they were misled by EEB's marketing can file a complaint with the FTC at ReportFraud.ftc.gov, and should watch the agency's case page for updates as the litigation against Prusinowski and the company proceeds.REVIEWED
The gap between coaching fees and storefront prices
EEB's pricing structure — a training program costing almost $2,000 for consumers who wanted to learn the model themselves, versus a "done for you" storefront costing tens of thousands more — mirrors a two-tier sales approach common across the business-opportunity industry, where a lower-cost entry point serves primarily to build a customer list for the far more expensive upsell.REVIEWED Consumers who purchased only the training program were, according to public complaints referenced in coverage of the case, frequently steered toward the pricier storefront option once they had already invested time and money in the initial course, a dynamic that can make walking away feel like abandoning a sunk cost rather than avoiding a bigger one.REVIEWED
The FTC's continued scrutiny of "done for you" e-commerce models — EEB, Ascend Ecom, and FBA Machine were announced as part of the same enforcement sweep — suggests regulators view the entire category, not merely any single operator's marketing claims, as carrying elevated fraud risk when a company promises a specific dollar income figure without evidence that its existing customers have actually achieved it.REVIEWED
What "AI-powered" was actually doing
Across the three storefront-focused Operation AI Comply cases, the specific role artificial intelligence supposedly played in the business model was rarely spelled out in concrete terms in the companies' marketing — instead, AI functioned largely as a credibility signal layered onto an underlying product that had existed in similar form for years before AI branding became commonplace.REVIEWED For EEB specifically, the complaint does not allege that any AI system was entirely absent from the operation, only that the company lacked evidence its AI-assisted approach produced the specific, substantial income outcomes its advertising promised prospective buyers.REVIEWED That distinction is significant for how future cases in this space may be evaluated: the presence of some AI tool in a business model does not by itself establish or refute a deceptive-earnings-claim allegation, since the legal question turns on whether the specific numbers marketed to consumers were substantiated, not on whether AI was involved at all.REVIEWED
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