See how two projects turn emails and invoices into quotations, expense reports and approval requests.
A useful workflow makes it clear what goes in, what happens next and who needs to check the result. These examples follow two office tasks: sending a quotation after human review and submitting an expense report for approval.
2 featured examples · 22 related projects
Compare the inputs and outputs
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Based on the sources below, not a ranking of results.
An expense-report PDF, approval records and an updated approval status.
Export quotation workflow
Take an export-sales inquiry from the inbox to a quotation and customer reply.
How it works
Watch for inquiry emails, read the attachments and add the details to Feishu.
Wait for quotation results, then manually edit and approve the quotation document.
Export a PDF and send the reply after a person checks the email preview.
What you get
Inquiry records in Feishu, quotation documents, PDF quotes and reply emails.
Based on the creator description. The Python workflow requires email, Feishu and other services to be configured. We have not run it or verified claims about speed and avoiding omissions.
Turn scattered invoices into an expense report ready for approval.
How it works
Upload images or PDFs, or collect attachments from email.
Use OCR and a language model to extract invoice details and check for duplicates.
Generate an expense PDF, submit it for Feishu approval and keep its status in sync.
What you get
An expense-report PDF, approval records and an updated approval status.
Based on the creator post. No separate app or repository link is currently listed. We have not tested recognition accuracy, approval success or time savings.
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A Python tool that identifies structural components in AutoCAD DXF drawings and calculates concrete quantities, with traceable summaries and drawing annotations.