The technician speaks. The report writes itself and files itself.
Case study by Achiya Cohen, founder of Achiya Automation
A reporting system for a field-service company: the technician sends a recording, text and photos from the field to a WhatsApp group — and the system transcribes, drafts a professional job report, generates a designed PDF and saves it in Drive in a neatly named folder. It supports several open jobs in parallel for the same technician.
The report gets written at night Recording → designed report
- A field technician finishes a job — but isn't done yet: a report is needed
- Drafting each report by hand continues after the field work is done
- Every technician phrases it differently — no consistency in the reports customers receive
- Photos from the field scattered across the gallery, unlinked to any job
- The technician sends a recording/text/photos to the WhatsApp group
- AI transcribes, drafts a professional report and generates a designed PDF
- The report is saved in Drive in a tidy folder per job
- "End report" — and the finished report comes back to the group
Here's how it works inside
A description of each flow, with identifying details removed.
Free-form report → AI drafting → PDF in Drive
The technician reports however is convenient: a voice recording (transcribed automatically), free text or photos. The AI identifies which job each report belongs to, drafts a professional job report in proper Hebrew — arrival status, findings, repair, closure — and on the "end report" command generates a designed PDF, saves it in Drive in a folder named after the job and sends it back to the group.
The numbers you feel every day
Is your team still drafting reports by hand?
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