A buyer sees a Marina two-bed on Bayut at 11:40pm and sends an enquiry. So do three other people, on three other listings. By 9am the next morning your agent calls, and the buyer has already viewed something else.
That is not an agent performance problem. It is a coverage problem, and no amount of hiring fixes it — because the hours where it happens are the hours nobody works.
What it actually does
It is a role, not a chatbot. Connected to the same CRM record your agents work in, working the front line of one specific job: turning a portal enquiry into a qualified, booked opportunity.
It answers within a minute of arrival. Confirms whether the buyer is looking to rent or buy, their budget band, timeline and preferred communities. Logs all of it against the listing. Offers viewing slots pulled from the live calendar of the agent who owns that listing. Books it. Sends the confirmation and the reminder on WhatsApp or BOTIM.
Then it hands over. Your agent opens a record that already knows what the buyer wants, and starts the conversation at the second question instead of the first.
Where it stops: negotiation, anything about price flexibility, anything a buyer is emotional about, and anything it has not been given a rule for. Those escalate to a named human with full context. Autonomy where you want it, control where you need it.
English and Arabic, on the channel they used
Dubai enquiries do not arrive in one language or on one channel. The AI agent holds the conversation in English or Arabic, on WhatsApp, BOTIM, web chat or the portal’s own messaging, and every message writes back to the same contact record. Your agent never has to ask where the earlier conversation happened.
What it is trained on
Your listings, your communities, your qualification criteria and your escalation rules. Not a generic property script. If your brokerage does not take enquiries under a certain budget, it does not either. If a specific tower needs a specific disclosure, it gives it.
Training is the work. The model is not the hard part — the hard part is encoding how your brokerage actually decides what is worth an agent’s time.
How you keep control
Every action is logged. Guardrails set what it may commit to and what it must escalate. It cannot quote a price outside a range you set, cannot promise a viewing your agent has not made available, and cannot continue a conversation a human has taken over.
It reports like an employee: a daily digest of enquiries handled, qualified, booked and escalated, with response times. You will know exactly what it did overnight before your first coffee.
Deploying it
The AI agent sits on top of a CRM. If your Bitrix24 is already well structured, deployment is a matter of weeks. If it is not, we will fix the pipeline first — an AI agent writing into a broken CRM produces broken records faster.
Watch it handle one of your real enquiries.
Bring a live listing and we will run a genuine enquiry through it in the session. No mock data.
Frequently asked questions
What is an AI real estate agent?
A role-specific AI team member trained on your listings, qualification criteria and escalation rules, connected to your CRM. It answers portal and website enquiries within a minute at any hour, qualifies budget and timeline, books viewings from your agents live calendars, and hands over to a human when the conversation needs judgement.
Will buyers know they are talking to AI?
You decide the disclosure policy and we configure to it. Most UAE brokerages we work with disclose, because the value is speed rather than pretence — a buyer who gets viewing times at midnight generally does not mind who sent them. What matters more is that handover to a human is fast and seamless when it comes.
Does it work in Arabic?
Yes, English and Arabic, on WhatsApp, BOTIM, web chat and portal messaging. Routing can also assign the eventual human follow-up to an Arabic-speaking agent, so the language does not change hands midway through the relationship.
What stops it saying something it should not?
Guardrails. It cannot quote outside a price range you set, cannot offer a viewing slot your agent has not made available, and cannot continue after a human takes over. Anything it has no rule for escalates rather than improvises. Every action is logged for review.
How is this different from the chatbot on our website?
A chatbot answers questions. This holds a qualification conversation, writes structured data to the CRM record, checks a live calendar, books an appointment and hands over with context. The test is simple: if removing it means a person has to do that work again, it is an agent. If it just means a different FAQ page, it is a chatbot.
Do we need Bitrix24 to use it?
It works best on a well-structured CRM, and Bitrix24 is what we implement most in this market. It can be deployed onto other CRMs, but if the underlying pipeline is disorganised we will recommend fixing that first — an AI agent writing into a broken CRM simply produces broken records more quickly.