Verified fixture set
Real Word and Excel examples are used to test whether generated files preserve the source document.
01 / Flagship · In development
An in-development AI document automation project for pre-qualification forms, supplier questionnaires and tender responses in Word and Excel—built to reuse trusted knowledge without turning review into a black box.
The problem
Engineering and fabrication teams receive pre-qualification forms, supplier questionnaires and tender responses in inconsistent Word and Excel layouts. Useful answers already exist, but they are scattered across old submissions, supporting documents and individual memory.
Copy-and-paste is slow and hard to verify. A generic chatbot can draft quickly, but it often removes the evidence trail and does not respect the structure of the file that must actually be returned.
The workflow
The intended workflow starts with the Word or Excel file people already use—not a replacement web form.
The system is being designed to find relevant previous answers and supporting knowledge for each requirement.
Suggestions are intended to show their source and confidence so a person can accept, edit or reject them.
The target output is an approved file whose original structure and formatting remain protected.
Current build focus
Real Word and Excel examples are used to test whether generated files preserve the source document.
Previous answers and company knowledge are being structured as visible evidence rather than invisible prompt material.
The review experience is being designed so suggestions can be accepted, edited or rejected field by field before export.
Current engineering work focuses on protecting layout, formulas, formatting and the original source files.