After a pop-up event, the sign-ups live in three places, half of them are duplicates, and the follow-up that turns a visit into a next step often never goes out. This walks through how AI and clean data fix that.
The online form, the paper sign-in sheet and the partner-station cards each caught some people. The same owner often shows up two or three times with different spellings.
| Source | Name | Business | Phone | Language | Needs |
|---|
Once the list is clean, the counts are real. Staff see at a glance which needs came up most and which partners to send people to.
Each owner gets a short note about the next step they committed to, with the right partner, in the language they chose. Staff review and send.
Translations are drafted by AI and should get a quick read from a native speaker before they go out. That review step is part of the design.
Written straight from the clean data, so nobody spends a Friday building it by hand.
Matching and merging records is the unglamorous part that makes every count, list and message trustworthy.
Drafting follow-ups and translations, sorting needs, writing the summary. People stay in charge of what goes out.
Works from the forms and spreadsheets you already use. No new system for staff to learn.