AI Detection in Reports: An Editing Order That Keeps Your Data

Your report scored as AI-written, and you can’t just rewrite it freely because the terminology and the figures have to stay exact. The fix is an editing order, not a rewrite: change rhythm and sentence shape while leaving every number, term and citation untouched. Work from the bottom of the document upward, and only touch sentences the detector actually flags.

Why does technical prose score badly on AI detection in reports?

Detectors look at variation. Machine text tends to keep sentence length even, reach for the same connectors, and prefer balanced clauses. Technical writing does much of that on purpose.

Analytical reports are full of parallel constructions: “Revenue increased in the northern region, while costs declined in the south.” That is good reporting. It is also a rhythm a model produces by default. Definitions, scope statements and methodology paragraphs are the worst offenders because they are deliberately uniform.

We ran our own measurement on 2026-09-13: 23 hand-written DeAIze guides scored a mean AI score of 21% (median 22%, range 0-46%), with 5 of 23 flagged at a 30% threshold. Twelve unedited model passages scored a mean of 33% (median 34%). The gap between human and machine prose is real, but it is a gap in the middle of the distribution, not a clean line. Technical writers sit closer to the machine side because the genre rewards consistency.

That matters for how you respond. A flag is a probability estimate, not a finding about who wrote your report. It is a prompt to edit, not a verdict.

The editing order: lock, then loosen

Do the passes in this sequence. Each one protects something the next pass could damage.

1. Freeze the substance. Copy the report into a working file. Mark every figure, table reference, defined term, and citation as locked. In practice: highlight them, or put them in a separate locked list you check against at the end.
2. Run detection first, not last. Score the document and read the sentence-level highlights. You want the flagged lines, not a document score. DeAIze highlights each sentence by AI probability, so you can see which lines carry the signal. If you edit blind, you will rewrite good sentences and leave the flat ones alone.
3. Fix rhythm only in flagged sentences. Change sentence length and opening words. Do not touch clause content.
4. Re-score and compare. Keep the edit only if the score improves and the meaning is intact.

If you want to see the sentence-level view before you start cutting, DeAIze’s free tier gives you 200 words on signup with no credit card, and paid plans start at $20.99 for 1,000 words — see /pricing/ for the full breakdown.

Where to add variation without weakening precision

Variation lives in three places that carry no data: sentence length, sentence openings, and connective tissue.

Sentence length. If a flagged paragraph has four sentences of similar length, split one and merge two others. A short sentence after a long one reads human because models rarely do it without being told.

Openings. Models love “Additionally”, “Furthermore”, “Moreover”, “It is worth noting that”. Replace those with the actual relationship: “The same pattern holds in Q3.” “Costs moved the other way.” You keep the logic and lose the template.

Connectors. Swap “therefore” for “so” in one place and “which means” in another. Same meaning, different surface.

Here is an illustration, not a real client figure. Before: “The methodology employed in this analysis is consistent with prior reporting cycles, and the data sources remain unchanged from the previous period.” After: “We used the same method as last cycle. The data sources did not change.” The claim is identical. Only the rhythm moved.

What you must not do is soften a term to sound more casual. If the report says “statistically significant”, it stays. If a figure is approximate, keep the qualifier you already had.

Tables, bullet lists and executive summaries

These three sections get flagged more than prose, and they need different handling.

Section	What detectors react to	What to change	What to leave alone
Executive summary	Uniform sentence length, summary phrasing	Split one long sentence; vary openings	Every figure and conclusion
Bullet lists	Parallel structure, identical verb forms	Break parallelism in one or two items	The content of each bullet
Data tables	Nothing inside cells	Rewrite only the surrounding captions and notes	All cell values and column headers
Methodology	Passive voice, repeated sentence frames	Convert some passives to active	Definitions and scope
Recommendations	Modal stacking (“should consider”)	One recommendation per sentence, varied length	The recommendation itself

Executive summaries are the hardest because they compress. When you compress, you naturally produce even sentences. The fix is not to expand the summary but to break its symmetry: one short sentence, one longer one, one that starts with the subject instead of a transition.

Bullet lists flag because perfect parallelism is a machine habit. Break it once. If every bullet starts with a verb, make one start with a noun phrase. A reviewer will not notice. A detector will.

Tables are safe inside the cells. The risk is in captions, footnotes and the paragraph that introduces the table. Those read like boilerplate because they often are.

What to do if a client or reviewer raises the score

This is the part most guides skip, and it is the part that determines whether the engagement survives.

First, ask what tool produced the score and what it reported. A single number without the tool name and threshold is not actionable. Detector scores are probability estimates; two tools on the same document routinely disagree.

Second, produce a short edit log. List the flagged sentences, what you changed, and confirm that no figure, term or citation moved. This is the document that ends the conversation. It shows the substance was never in question.

Third, if the reviewer is a client, put the policy in the contract next time. Agree in advance which detector counts, at what threshold, and what happens on a flag. Freelancers and consultants get burned by undefined review criteria far more often than by actual detection.

Fourth, keep your own record of the human baseline. From our 2026-09-13 measurement, 5 of 23 hand-written guides were flagged at a 30% threshold. Human writing flags. If your client believes a flag means AI authorship, that belief needs correcting before the next deliverable, not after.

The order, in one line

Lock the substance, score the document, edit only flagged sentences for rhythm, re-score, and keep the edit only when the meaning survives. Nothing else in the report should move. If you want the mechanics behind the score, /blog/how-ai-detection-works/ explains the signals, and /humanize-ai-text/ covers the rewrite loop end to end.

The honest limit: no tool can tell you who wrote a sentence. Your data, your analysis and your conclusions have to be yours. The editing pass exists to stop a probability estimate from being mistaken for proof about your work.

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Measurement note: figures in this article come from our own detector run on 2026-09-13 — n = 23 hand-written guides versus n = 12 unedited model outputs, median AI score 22% and 34% respectively. Method: /methodology/.