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Friday 18 September 2026 21:00:42 GMT
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How to set up an AI  assistant for property management How to use AI to answer tenant texts for a property management company, step by step. Denise runs Birchgate: 140 units, 31 buildings, two people and a handyman. Last Saturday at 2:14 a.m. a tenant texted
How to set up an AI assistant for property management How to use AI to answer tenant texts for a property management company, step by step. Denise runs Birchgate: 140 units, 31 buildings, two people and a handyman. Last Saturday at 2:14 a.m. a tenant texted "smells like gas in the hallway". She saw it Monday morning, buried between "what day is trash?" and "do you allow cats?". Her website chatbot had already told someone a no-pets building was pet-friendly, and told someone else the area has "great schools". So we got on a Zoom call and drew the system before touching any AI tool. Why AI chatbots fail property managers: they jump straight to answering. Nothing sorts the texts first, and nothing knows which unit is asking. How to build an AI texting assistant for rentals: 1. One sheet. Put every unit in one Google Sheet: rent, available date, pet rule, trash day, where the water shut-off is. Rent and dates sync every night from your property management software. Add a policies tab with about 30 answers you've already approved. When the answer is one exact fact, look it up. Don't search a pile of leases. 2. Emergency check first. Before any AI touches a text, a plain keyword check runs on every message: gas, smoke, fire, carbon monoxide, flooding, sparks, no heat. A match sends a pre-written safety text right away and calls your on-call phone until someone presses 1. Nobody in 5 minutes, it calls the next person. Then an AI step asks "is this an emergency?" to catch misspellings, "it smells weird" and photos of water on the floor. Unsure at night, it calls. 3. Who's texting? Match the phone number against tenants, owners and vendors. A tenant match tells you the unit. No match is a stranger, and a stranger gets nothing private. 4. Sort. AI classifies the rest: unit question, maintenance, rent and money, prospect, dispute. "Stop texting me" is honored right away. 5. Answer from the row. The AI replies only from that unit's row and your policies, and says it's your assistant. Empty cell? It says "I'll check and get back to you" and adds it to your coordinator's list. 6. The checker. A second check reads every reply first. Numbers and dates must match the row, and the bot gives no opinions on schools, safety or who'd fit in. Under the Fair Housing Act, your bot counts as you. 7. Always to you: money, disputes, vouchers and accommodation requests like support animals. You approve from your phone. 8. Fixes become rules. Your edits are saved, repeat fixes become a new cell or policy line once a week, and it replays your last 200 texts before anything changes. 9. Roll it out: week 1 drafts only, week 2 unit questions, week 3 prospects. Emergencies call a person from day one. Keep your registered texting number. You can build this with workflow automation tools like n8n, connecting your business texting app, Google Sheets, a phone-call service and an AI model. The tools matter less than the order: sort first, then answer. This works for landlords, property managers, HOAs and any business where one number gets texts all night. #aiautomation #aiagents #aiemployee #n8n

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