Solutions · Report drafting

AI report writing for engineering & professional services.

Your experts didn't train for a decade to spend Friday formatting. We build AI systems that draft client-ready reports from your field data, analysis and templates — holding your standards, structure and voice — so qualified people review and sign off instead of word-processing.

The pattern

From raw inputs to a reviewable draft.

Most technical reports are 20% expert judgement and 80% assembly: pulling data forward, restating methodology, keeping terminology and formatting consistent across a hundred pages. The system we build ingests the inputs your team already produces — field data, test results, analysis outputs, prior reports — and drafts the document section by section against your own templates and standards.

The expert's job changes shape: instead of writing, they review — correcting the judgement calls, approving the sections, signing off the result. The 80% disappears; the 20% gets more attention than it ever did.

Your standards, encoded

Report structure, terminology, referencing conventions and QA rules built into the system — every draft starts consistent with your best work.

Grounded in the actual data

Drafts are generated from your project's real inputs — not invented. Anything the system can't evidence, it flags for the author instead of guessing.

Sign-off stays professional

A qualified person reviews and approves every report before it carries your letterhead. The AI accelerates the work; accountability doesn't move.

Proof

Soil & Rock: geotechnical reporting, 10 hours to 20 minutes.

We built “Archie”, a custom AI co-pilot that ingests field data, analysis results and source documents to auto-draft client-ready geotechnical reports section by section — tone, standards and structure held consistent, engineers reviewing instead of writing. Reporting is now 24× faster.

Read the Soil & Rock story →

24×

faster geotechnical reporting at Soil & Rock — engineers freed from word processing.

85%

less time gathering information at Transcends, whose marketing-services copilot assembles the brief before the humans open the document. The story →

Common questions

Our reports carry professional liability. Can AI-drafted reports be trusted?

The draft is a starting point generated from your project's actual data; a qualified professional reviews, corrects and signs off every report exactly as they do today. What changes is where their hours go — into the engineering judgement, not the document assembly. The system also flags anything it couldn't evidence, which makes review sharper, not looser.

Won't every report sound the same?

They'll sound like your firm — consistently. The system is trained on your templates and best past reports, so the baseline quality is your top author's, project after project. Variation comes back where it belongs: in the findings.

Where does our project data live?

Inside your controls, as private AI — hosted on AWS in Australia with ISO 27001 / NZISM-aligned safeguards, never used to train public models. Client confidentiality survives the AI.

Which professions does this fit?

Anywhere experts produce structured documents from data and precedent: engineering consultancies, environmental and planning practices, healthcare, legal, accounting and advisory firms. If your bottleneck is the write-up, the pattern applies — bring us a recent report and we'll tell you what's automatable.

How many expert hours went into reports last month?

Bring a recent report and its inputs — we'll show you what a draft looks like.

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