AI leasing assistants reach the UAE: what it means

On 19 October 2026, Seed Group, a Dubai company linked to the Private Office of Sheikh Saeed bin Ahmed Al Maktoum, announced a partnership with VerbaFlo, a London start-up that sells an AI leasing assistant to landlords and rental operators, TradeArabia reported. Seed Group will open its network of UAE owners, developers and property managers to VerbaFlo, and help it reach the wider Middle East and North Africa.

It is a small deal in money terms. It matters for another reason: it brings to the Gulf a type of AI that already answers most tenant messages in the UK and the US, and it shows what renters in Dubai, Casablanca or Riyadh will soon expect from whoever manages their home.

What the AI leasing assistant does

According to TradeArabia and Travels Dubai (24 October 2026), VerbaFlo’s platform handles messages from future and current tenants by phone, email, web chat and WhatsApp, around the clock, in more than 200 languages. Its AI agents answer questions, book viewings and follow up on enquiries. When a human takes over, the full conversation history is already in a built-in CRM, so the tenant does not have to repeat anything.

The tool covers the whole stay, not only the first contact: maintenance requests, lease renewals, rent and payment reminders, routine letters and move-out. An add-on called VerbaIQ lets managers ask questions about their portfolio in plain language. The platform connects to the property management systems Yardi and Entrata.

VerbaFlo was founded in October 2024. In April 2026 it raised a $7 million seed round led by Pi Labs, according to The AI Insider. The company now says it works with more than 50 residential operators in 12 countries and more than 300,000 units, up from about 200,000 units in April.

The numbers, and what is proven

Travels Dubai lists several figures supplied by VerbaFlo: more than 10 million conversations handled, an average AI response time of 3.7 seconds, about 90% of conversations resolved by the AI, and more than 60% of tenant conversations happening outside office hours. These are company figures. No independent audit has been published, so read them as claims, not facts.

Data from other vendors, also self-reported, points the same way. On 25 September 2026, two US leasing platforms, ShowMojo and Tenant Turner, analysed 256,000 messages handled by their AI leasing agents. They reported that 98.1% of conversations were completed without a human, and that 54% took place outside office hours. ShowMojo’s own data adds a useful detail: prospects who book a viewing within two hours of their first message attend it 64 to 72% of the time, against 30% or less when they wait a week.

Two conclusions are fair. First, more than half of rental enquiries arrive when the office is closed. Second, speed of reply has a direct effect on whether a visit happens.

Why the Gulf, and why now

VerbaFlo’s founder, Sayantan Biswas, explained the choice: a single Gulf tower can house residents of many nationalities, and every message must be accurate in each of their languages. He called the UAE the first chapter of a longer Gulf story.

Policy points the same way. The Dubai Real Estate Sector Strategy 2033, announced on 29 October 2024, aims for 70% more transactions and a 33% home ownership rate, and lists AI-driven data analysis and digital tools “from search and purchase to management” among its levers. In Abu Dhabi, the Department of Municipalities and Transport launched a service around 1 October 2026 on the TAMM platform that uses AI to suggest government land and buildings matching each investor’s profile, Gulf News reported. Governments are digitising the front door; private operators are now automating the conversation behind it.

What agencies and landlords can do now

You do not need a 300,000-unit portfolio to apply the method. Start with the basics:

1. Measure your night traffic. Count for two weeks how many rental messages arrive after 19:00 and at weekends. If the US and UK figures hold for you, it will be close to half.
2. Write down the ten questions you answer every day: availability, price, deposit, charges, visit times, documents needed. These are what an assistant can answer instantly.
3. Keep the human for what needs judgement: negotiation, a disputed repair, a tenant in difficulty. The handover must pass on the full conversation.
4. Answer in the client’s language and script, including darija written in Latin letters. A correct answer in the wrong register still loses trust.
5. Log every request in one place, so nothing stays buried in a personal phone.

If you are new to the subject, our guides explain the difference between an AI agent and a chatbot and how to answer WhatsApp leads at night. With the 2030 World Cup approaching, the same need will grow in short-term rentals.

Conclusion

The VerbaFlo deal is one partnership, and its performance figures still need independent proof. But the direction is clear across the UK, the US and now the Gulf: the first reply to a tenant is moving to AI, and the human moves to the moments that matter. That is the idea behind Quick Agent, our assistant for Moroccan agencies, which replies on WhatsApp, email and Instagram in the client’s language and logs every lead. kawnium has no link with VerbaFlo, Seed Group, ShowMojo or Tenant Turner.

Sources

1. TradeArabia – British group VerbaFlo to bring AI-powered leasing to UAE property operators (19 October 2026)
2. Travels Dubai – UAE property operators set for 24/7 AI support in 200 languages (24 October 2026)
3. The AI Insider – VerbaFlo announces $7M in funding to expand its AI leasing platform (3 April 2026)
4. GlobeNewswire – ShowMojo and Tenant Turner: AI leasing agents handle nearly 100% of prospective tenant conversations (25 September 2026)
5. Dubai Media Office – Dubai Real Estate Sector Strategy 2033 (29 October 2024)
6. Gulf News – Abu Dhabi launches an AI-powered service to invest in government land and buildings (1 October 2026)
7. Finances News Hebdo – HCP presents the detailed results of the 2024 census (17 December 2024, in French)