AI powered import for handwritten attendance sheets

Overview

Mireaux’s Web QMS helps clients in ISO and API heavy industries run audits end to end: agendas, meetings, findings, actions, verification, and records. One slow spot remained: recording who actually attended opening, closing, and other audit meetings. Auditors often pass around a paper sign‑in sheet. Later someone has to type each name into the system. It is boring, error‑prone, and eats time the audit team could spend on real issues. We set out to make paper sign‑ins as fast and reliable as the existing digital template import, without forcing auditors to change a habit that works for them in the room.

Challenge

Handwritten sheets introduce several problems:

• Messy or rushed handwriting and varied formats (first name only, initials, nicknames).
• Typos and misreads when retyping into the app.
• Risk of adding the wrong person or missing an attendee.
• Duplicate entries across multi‑page sheets.
• No easy way to catch if the count of names is off versus the expected participants.

We needed a focused, trustworthy way to map scribbles to real employee records already stored in Web QMS. Plain OCR alone was not enough: it might read "J. Ramíez" instead of the registered "Juan Ramírez" or confuse similar surnames.

We needed a bulk import that was fast, transparent, and safe, so users would trust the result without line‑by‑line checking.

Outcome