Business Report AI Detector

Business reports are written to templates, repeat themselves month after month, and are usually about information their organisation does not want pasted into a website. Those three facts shape everything useful that can be said about checking one. This page covers what template-driven writing does to a score, what to strip before pasting, what you may and may not put into this tool, and how an editor should run the check when the document belongs to a colleague.

AI Detector Checker returns a 0-100 AI-writing signal score, a score stability range and one of three bands for English text of at least 100 words. It never identifies a model, marks no sentence, and is never enough on its own for a decision about a person.

Templates and recurring reports

A monthly status report is the same document twelve times a year: the same section order, the same headings, the same opening formula, the same way of phrasing a risk. That is what makes it useful to its readers, and it produces exactly what the classifier associates with machine writing — uniform sentence lengths, generic framing, few concrete specifics outside the numbers.

Two consequences worth holding on to. First, a strong signal on a recurring report is weak evidence: the format is doing much of the work. Second, and more useful, the interesting comparison is not against a threshold but against the previous edition. If January and February read like each other and March reads differently, that difference is worth a question, whatever any of the three scored.

The one shape that does carry information is the balanced risk register: every risk paired with a tidy mitigation, every item the same length. Real risk registers are lopsided, because some risks have no mitigation yet and someone had to admit that in writing.

Strip the tables and the numbers

Business documents are mostly not prose. Tables, figures, chart labels, financial summaries, appendices and signature blocks are structure and data, and the engine reads them as text it was never designed to judge. Leaving them in makes the score partly a measurement of your spreadsheet.

Paste the narrative sections: the executive summary, the commentary around the figures, the risks section, the recommendation. If the document has several distinct parts written by different people, check them separately — compare mode takes up to three passages and reports each one on its own, never averaged into a single verdict.

What you may and may not paste

Pasting text here sends it off your network to our server to be scored. Our privacy policy is the authority on what happens to it, and the short version is: submitted text is not retained, and limited operational metadata may be logged for reliability and aggregate product monitoring — timestamp, word count, band, latency and similar, never the text and never a copy of any part of it.

That does not by itself make pasting appropriate. Contracts, personnel matters, customer data, unpublished financials, material non-public information and anything under NDA should not go into this tool or any other, whatever the retention policy says, because the decision is your organisation’s to make and not ours. If you would not paste the paragraph into a search engine, do not paste it here.

The editor’s workflow, with consent

A workplace document is somebody’s work, and checking it is a decision about a colleague rather than about a text. Three questions settle whether the check is reasonable, and they are worth answering before the paste rather than after the result.

1. Does your organisation permit AI assistance? Many teams license an assistant and encourage its use. Checking for AI writing in that setting measures compliance with a rule that does not exist.
2. Is the text yours to submit? See above. If the answer is no, the question of what a score would mean does not arise.
3. What would you do with the result? If the answer is “ask them about it”, that conversation is available now, without the check. If the answer is “put it in a file”, stop.

The defensible pattern is a review the writer knows about: you tell them you run drafts through a check, you use the result to decide where to read closely, and the conversation is about the writing rather than about the score.

Reading a result for a long report

A report of 600 words or more falls into the most reliable length band this engine has. In the sealed test, none of the 916 human texts of that length received a wrong AI signal, and the Uncertain band caught only 3 of them. Recall is also at its best there: about 79 in every 100 texts from the tested current models were flagged at that length, against about 53 in every 100 at 100–149 words.

So a Likely AI-written band on a 900-word narrative section is the strongest signal this tool produces, and it is still a signal about a passage rather than proof about a person. What it earns is a careful read and a question, not a conclusion. The published false-flag rate the card shows for that length — about 2 in every 1,000 — is the rate across all human texts of that length in the sealed test, not a probability about the report in front of you.

Running the check, and where to read more

Paste at least 100 words of English prose into the tool on the homepage — it is the same detector everywhere on this site. What an AI detector score means explains the score, the range and the three bands; what to do if your text is flagged covers the case where the flagged document is your own. Other content types are on the content-type hub, and every figure above comes from the sealed test published on the evidence page.

Business report detection FAQ