Capture leads on WhatsApp and save them to Sheets
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
A commenter says AI tools handle most tenant questions, prospect inquiries and document preparation, handing harder cases to a human.
A commenter says AI tools handle most tenant questions, prospect inquiries and document preparation, handing harder cases to a human.
One commenter said they run two AI "employees" and named Lindy.AI when asked what they use. They said tenants text maintenance issues to the AI, which asks follow-up questions, creates work orders, and sends them to the maintenance crew; it also handles 90%+ of tenant questions, rental prospect inquiries, and document preparation, with one person still overseeing edge cases and checking outcomes.
They said the setup replaces the need to add more staff for the same workload and claimed the AI often handles angry tenants better than live staff. The clear limit they gave is that it still needs a person overseeing it for now.
The main catch is ongoing human oversight: the commenter said one person still has to review how it handles cases so it stays on process.
Set up an assistant for my rental property at [address or portfolio]. It should answer common tenant and prospect questions using these details: [rent, pet policy, lease terms, application steps, maintenance process], and draft replies for me when a question falls outside them. Anything about legal issues, disputes or exceptions should be flagged to me instead of answered, and do not send any message until I have approved the first [number] drafts.
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
An n8n agent handles customer WhatsApp messages, searches info, checks the calendar, logs to Sheets or Notion, and replies by WhatsApp and email.
A Lindy agent researches YouTube ideas and scripts, and another emails a brief on discovery-call contacts 10 minutes before meetings; complex content stayed on Make.