An AI Content Detector Advertised Accuracy It Could Not Prove. The FTC Had to Intervene.

What happened

As generative AI has saturated the internet with machine-produced text, a parallel industry has grown up around detecting it. Publishers, educators, employers, and platforms have turned to AI content detection tools for assurance that what they are reading was written by a person. That assurance is only as good as the evidence behind the accuracy claim, and in the case of Workado, LLC, that evidence was not there.

Workado sold an AI content detection product and marketed it on the strength of accuracy claims about how well it identified AI-generated content. The Federal Trade Commission investigated those claims and found the company had advertised the accuracy and effectiveness of its tool without reliable evidence to substantiate them. In August 2025, the FTC gave final approval to a consent order against Workado, requiring the company to stop making performance claims it could not back up with competent evidence.

This is a final order, not a preliminary finding. Before reaching this stage, the agency reviewed the record, published a proposed order for public comment, and confirmed the settlement. Workado is now prohibited from making accuracy or effectiveness claims unless it can substantiate them with reliable supporting evidence. That is a standard any product sold on the basis of its performance should meet before going to market, not as a condition imposed years later by a federal regulator.

The significance of the case extends beyond one company. Hundreds of AI detection tools entered the market between 2022 and 2025, many of them advertising accuracy rates as high as 95 or 99 percent. Independent researchers and journalists have consistently found those rates difficult to replicate, particularly for short-form content or material generated by newer models. Workado may be among the first to receive a final FTC order over such claims, but it is not operating in an unusually dishonest corner of the market. The pattern of unsubstantiated accuracy advertising has been widespread and largely unchallenged until enforcement action arrived.

The governance gap this case reveals is not limited to marketing copy. Educators have used AI detectors to investigate students for academic dishonesty. Platforms have used them to moderate submitted content. Employers have used them in hiring pipelines. Each of those decisions was made on the strength of a tool's stated accuracy. A provable record of what a system did, tested against what its vendor claimed it would do, should exist before consequences fall on real people. When that record is absent, the harm flows quietly and the correction arrives too late, dressed up as a settlement agreement rather than a safeguard.

Reported impact

Affected parties

Not publicly disclosed

Harm type

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Scale

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Financial impact

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Regulatory action

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Classification

Organization

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AI system

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Industry

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Provider

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Incident type

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Relevant governance controls

Governance control mapping is not available for this record.

• No controls mappedNot publicly disclosed

Control mapping is analytical. It does not state that any control would have prevented the incident.

Sources and evidence

This record was researched and written by the Index. The event is also catalogued in the following database, which is listed for cross-reference.