Oriana › AI receptionist for room and flat rentals: how to handle every enquiry
AI receptionist for room and flat rentals: how to handle every enquiry
Short answer
An AI receptionist for rentals is a virtual assistant that answers, on WhatsApp, the people who ask about a room or a flat, filters them with a few questions and hands the ones that matter to a person. In our experience it works when it replies fast, starts with the move-in date, doesn't overwhelm and knows when to make way for a person.
Where this comes from
Before building Oriana we were property distributors: we spent the day talking to prospective tenants. We have also been on the other side, looking for a flat or a room. What follows is what we learned then: the team's experience, not a study.
Why candidates are lost
In our experience they are lost mostly by being slow: when we replied late, the person had stopped answering or had already found another option, and the stronger candidates were the first to leave.
Between two options that interest them equally, the one that answers first wins. While waiting, the candidate goes from stress to frustration to looking elsewhere. That is why we distrust the common explanation that "they don't answer because they aren't interested". Enquiries pile up above all at night and at weekends, when nobody is answering. More in why rental candidates are lost (Spanish) and out-of-hours enquiries (Spanish).
The questions we saw most
Enquiries repeat a lot; the four questions we received most, in this order, were: is it still available, details of the flat or room, what living with the housemates is like, and payments and terms.
- Is it still available? The most repeated, partly because ads for options that are no longer free stay up.
- Details of the flat or the room.
- Housemates: how many there are and what living together is like.
- Payments and terms.
It surprised us how often people ask what the ad already says: how to write a room ad that attracts good enquiries (Spanish).
The first reply: confirm and ask one question
The ideal first reply has two sentences: it confirms the room is still available and asks for the move-in date.
- The date first, because it is the fit filter between what is available and what the person needs, and it saves time for both. It also shows urgency: someone moving in soon needs options with little margin; someone with time can wait for the ideal one.
- Then let them describe their situation in their own words, and ask only for what is missing.
- Never a long message that asks for everything as if they were signing today: it puts people off.
The order we follow: date, budget, area, and whether they study or work. More in how to reply to a rental enquiry (Spanish) and the eight types of enquiry.
There are no fixed signals: answer everyone and qualify quickly
Someone who is slow to reply or asks little is not always uninterested: often they are comparing. There are no foolproof signals, so we don't discard on intuition. A profile rules out that room, not the person. And treating well someone we can't help leaves a good impression.
What changes by type of operator
In a co-living, enquiries mostly revolve around availability and profile; in an agency you need to understand what the client wants and show several options so they can compare and choose.
- Co-living: the rooms resemble each other (even if prices vary), so what matters is whether there is space and whether the profile fits.
- Agency: the client wants to compare. Each option you give tends to prompt a request for others.
When it should hand over to a person
An AI receptionist should hand the conversation to a person when the person asks, when the topic is sensitive, when it doesn't know the answer, or when it is not allowed to discuss it. And sooner is better than later.
Handing over early costs a little team time; handing over late costs the candidate. More in when to hand an enquiry to a person (Spanish).
Menu chatbot or an assistant that converses
In our experience, someone who can write naturally explains what they are looking for better and is less likely to drop out; with buttons and fixed options, they are more likely to leave.
That is an intuition from the job, not a measured figure. An assistant that converses has limits too, which is why it must hand over to a person.
| Menu chatbot | AI assistant | Person | |
|---|---|---|---|
| How it talks | Buttons and fixed options | Natural language | Natural language |
| If the question goes off-script | It gets stuck | Tries to understand it and, if it can't, hands over to a person | Solves it |
| Availability | Always | Always | Team hours |
High season: the extra job
When the busy period arrives, answering enquiries is like having an extra job: we ended up spending several hours a day just replying, many of them without ending in a deal, and that takes time away from what makes the business grow. Besides the hours, there is the mental load of talking to candidates all day.
Mistakes when automating
- Doing it without experience in the sector or without clear rules.
- Not qualifying at the start: we kept answering enquiries that were not going to end in a booking.
- Not explaining in time that what they want is unrealistic.
- Out-of-date data: an AI answers only as well as the information it has.
More in mistakes when automating customer service (Spanish).
How to tell whether it works
Before you start, note where you are: reply time, unanswered enquiries and team time spent on first contacts. Then compare. In a demo, distrust one that doesn't show where a person steps in. More in what to ask an AI agent vendor and when you don't need an AI agent.
What we don't want Oriana to be
Something that replaces people. We want it to support the repetitive work, and the time freed to go where an operator really grows: winning new properties.
How Oriana does it (with our interest declared)
Oriana is a paid service that answers rental enquiries on WhatsApp, filters them and hands the conversation to someone on the team when needed. We adapt to the company, we don't make the company adapt to us, and there is a one-month trial with no lock-in. We have an interest in you hiring us; so, if your case doesn't need it, we tell you: when you don't need an AI agent.
Frequently asked questions
What is an AI receptionist for rentals?
A virtual assistant that answers, on WhatsApp, people who ask about a room or a flat, asks the questions needed to filter and hands the ones that matter to a person.
Why are rental candidates lost?
In our experience, mostly by replying late: the person stops answering or has already found another option, and the stronger candidates tend to be the first to leave.
What do candidates ask most when they enquire about a room?
In this order: whether it is still available, details of the flat or the room, what living with the housemates is like, and payments and terms.
What should you ask first when someone enquires about a room?
The move-in date: it is the fit filter and it shows urgency. Then their situation in their own words, and only what is missing.
Why doesn't a candidate reply?
It is not always lack of interest: often they are comparing several options or have already gone with whoever answered first.
What is the difference between running a co-living and an agency?
In a co-living, availability and profile are usually enough, because the rooms are alike. In an agency you need to understand what the client wants and give several options to compare.
When should an AI hand the conversation to a person?
When the person asks, when the topic is sensitive, when it doesn't know the answer or when it is not allowed to discuss it. Sooner is better than later.
Is a button chatbot or a conversational assistant better?
In our experience, the conversational one: people who write naturally explain what they want better and drop out less. It should still hand over to a person when it can't resolve something.
Does an AI receptionist replace my team?
No. It handles the repetitive first contact; decisions and delicate conversations are handled by a person.
What is the most common mistake when automating customer service?
Setting it up without experience in the sector or without clear rules, and not qualifying at the start.
How do I know if it suits me?
If your enquiries repeat, go cold out of hours or the team loses time on first contacts. If not, you may not need it.