AI workflow checks outreach screenshots and finds payment risk
A real estate outreach team paid workers based on from Nextdoor activity. Workers posted in local communities or sent private messages to prospects, then emailed as proof. Manual review became hard to manage as the number of submissions grew.
An n8n workflow now handles most of the process. It checks the sender’s name and email against the active worker list, saves in , and uses an to decide whether each screenshot shows a community post or a private message conversation. Community posts are checked against rules from the company’s training document, while private messages are compared with approved message templates.
The workflow calculates pay for valid submissions and alerts leadership by email when a prospect replies. The main weakness was a , where the same qualifying screenshot could potentially be reused.
Key points
- The workflow replaces manual screenshot review for a growing outreach team.
- n8n connects email intake, worker validation, file storage, AI review, payment calculation, and alerts.
- An separates community posts from private message conversations.
- and approved templates decide which submissions qualify for payment.
- Duplicate screenshot reuse created a possible .