AI agents for real estate agents, now paid per task

On 20 October 2026, Real Brokerage unveiled Leo Pro at RISE, its annual agent conference in Las Vegas. It is a library of more than three dozen AI agents for real estate agents: they cut listing videos, chase cold leads and move paperwork forward, then ask the human agent to approve the important steps.

The AI itself is not the most surprising part. The price model is. Leo Pro is not sold per seat, like most software. Agents pay for the work the AI actually does. That small change says a lot about where property technology is going, including in Morocco and the Arab world.

What Real launched

Real is a US brokerage with more than 36,000 agents. Its parent company, Real REMAX Group, reports more than 180,000 agents after Real acquired REMAX earlier in 2026. According to the company’s release and reports by Inman, HousingWire and Real Estate News, Leo Pro works inside reZEN, Real’s own operating system, and covers four areas:

• Marketing: property video tours made from listing photos, social media posts, print material and listing presentations;
• Listings and valuation: comparative market analyses and complete marketing packages for a listing;
• Transactions: pulling dates out of contracts, building timelines and coordinating signatures;
• Leads: a module called AiRM connects the agent’s CRM, combines contacts with property and ownership records, flags people who may be ready to move and starts follow-ups.

The agent describes a task in plain words. Leo Pro chooses the models and tools, does the work and asks for approval before “important actions”. Agents can watch client conversations and take over at any time. Real also launched a no-code AI Builder to create custom agents, Leo Pro Voice to give instructions by speaking, and Leo Line, a dedicated number clients can text to reach their agent.

Real’s CTO, Pritesh Damani, summed it up on stage: “You ask, and Leo Pro gets the work done.” The rollout starts with Real agents. REMAX agents come later, because the franchise network needs more time to set up, Real Estate News reports.

Pay per task: why the price model matters

Leo Pro runs on Leo Tokens. Inman reports that the monthly plan includes 20,000 tokens that expire if unused, that agents can buy more, and that launch-day sign-ups got an introductory price of $9.99 a month. Real has not published how many tokens a given task uses. A spokesperson told Inman the model also protects the company from heavy “power users” driving up AI costs.

This matters for three reasons.

• AI work has a real cost per task. Every video, analysis or follow-up uses computing power. Usage pricing makes that cost visible instead of hiding it in a flat licence.
• Small and occasional users pay less. An agent who closes a few deals a year does not pay the same as a large team. That lowers the entry ticket.
• The value moves from software to outcomes. Agents stop asking “which tool do I need?” and start asking “what work do I want done?”. Real’s release says it directly: agents pay for the work they use, not for software they may not need.

There is a flip side. With usage pricing, the monthly bill can vary, and it is harder to compare offers when the cost of a token is not public. Any agency that adopts such a tool should ask for a clear price per task before signing.

What AI agents still do not replace

Real is careful with its message. The release states that Leo Pro “is not here to replace the real estate agent”. CEO Tamir Poleg said technology should make agents “more capable, not less important”. Damani said he expects at least 80% of operational work in real estate to be automated one day, while the emotional connection with clients “is not replaceable”.

The useful reading is simple. AI agents take the repetitive work: formatting, reminders, first drafts, data entry. The human keeps the relationship, the negotiation and the final decision. That is also the difference we explain in AI agents vs chatbots: an agent acts, but within the limits you set.

What agencies can do now

You do not need a US brokerage’s budget to prepare. Five practical steps:

1. List your repetitive tasks. Write down what takes time every week: replying to the same questions, sending photos, reminding clients, preparing visit sheets.
2. Measure them. How many requests per week? How many hours? This is the basis to judge any “per task” price.
3. Centralise your leads. AiRM only works because the CRM data is there. Put every request in one place, with the same fields: budget, city, timing, type of property.
4. Keep approval for sensitive actions. Prices, commitments and contracts should always wait for a human “yes”, as Leo Pro does.
5. Ask the right pricing questions. What is included? What does one task cost? What happens to unused credit? Who owns the data?

Start with the task that costs you the most clients. Very often, it is the first reply: a buyer who writes at 11 p.m. and gets no answer goes elsewhere. This is the job Quick Agent does for agencies: it replies on WhatsApp in the client’s language, records each request and plans the follow-ups. kawnium has no link with Real, REMAX or SBS.

Conclusion

Leo Pro shows two shifts at once. AI agents for real estate agents are becoming a set of specialised helpers, not a single chatbot. And they are starting to be priced like work, not like software. For agencies in Morocco and the Arab world, the lesson is to get the basics ready now: clean data, clear tasks and human control over what matters.

Sources

1. Real – Real introduces Leo Pro, the next generation of its AI platform (press release, 20 October 2026)
2. Inman – Real Brokerage bets on pay-per-task AI with Leo Pro (20 October 2026)
3. HousingWire – Real unveils Leo Pro AI platform, agent-to-agent referral tools (October 2026)
4. Real Estate News – Real Brokerage’s latest AI tech targets agent busywork (20 October 2026)
5. Al Mal News – Launch of SBS, a platform that matches properties with client requests using AI (11 October 2026, in Arabic)
6. Amlak – Global PropTech Summit 2026 in Riyadh (17 October 2026, in Arabic)
7. La Nouvelle Tribune – ImmoTech 2026: AI and sales performance at the heart of the 5th edition (16 September 2026, in French)