PDF -> AI -> Letter mail
PDF -> Physical Letter Pipeline
Take a PDF, pull the delivery details, match the right address, and turn it into a mail-ready physical letter with a clear review history.
Turn static PDFs into mail-ready work with less manual prep.
Match addresses and delivery details before physical mail is released.
Keep a review history from source document to sent letter.
See how the work actually moves
The request starts on the left, AI helps in the middle, the next step lands on the right, and human review stays visible underneath.
PDF -> AI -> Letter mail
Take a PDF, pull the delivery details, match the right address, and turn it into a mail-ready physical letter with a clear review history.
Capture the PDF or scanned document from email, upload, or document storage.
Pull names, addresses, account context, and required delivery details.
Prepare the mail package and flag anything that needs address or template review.
Verify uncertain pulled details before the letter is sent.
How the work usually moves
Capture the PDF or scanned document from email, upload, or document storage.
Pull names, addresses, account context, and required delivery details.
Prepare the mail package and flag anything that needs address or template review.
Queue the approved package for physical mail and record the send status.
Where people should stay in the loop
Verify uncertain pulled details before the letter is sent.
Approve the final address and template for regulated or high-stakes mail.
Track send status and returned mail for follow-up.
Keep exploring related workflow ideas
When someone fills out a website form, AI helps sort the request and move the next step into your CRM, reminders, queues, or team notifications.
Connect forms, vendor portals, older software, and internal records so your team can move work forward without manually copying the same details.
Give your team a clear way to review AI suggestions, compare them against known good examples, and improve the workflow without guesswork.