Can it qualify property leads, answer listing questions, and take viewing requests?

It collects buyer requirements, answers project questions from approved information and passes the opportunity and visit request to the team or connected system. Collecting a preferred time is not a confirmed booking unless an enabled confirmation process completes it.

How is buyer data handled?

Buyer details — name, budget, preferred area, contact number — stay inside your deployment's own data boundary, and the deployment is PDPL-aware by design. Where the data must stay in a specific jurisdiction or on your own infrastructure, we deploy on-prem or on a regulated-residency path, and human escalation stays a built-in control. The full posture is on our security page.

What happens with deal-specific questions?

Anything tied to a specific contract, a custom payment plan, a price negotiation, or a legal question is routed to your sales team rather than answered by the agent, and a guardrail keeps it from over-promising a delivery date or quoting a figure it cannot stand behind. The buyer keeps the full thread, so your agent picks up the conversation with all the context already in hand.

AI lead qualification for real estate.

ChatSheba answers project questions from your approved information and collects the buyer’s budget, preferred area and property type so sales can follow the opportunity and visit request.

The problem in real estate sales

The team needs to understand the buyer’s requirements and budget before recommending a project or arranging a visit. Information may be spread across messages, ads and follow-ups.

Before a site visit is booked

Project, unit and starting-price questions.
Instalment plans: down payment, monthly terms, handover timing.
Buyer qualification by budget, area and unit type.
Request a site visit after collecting buyer requirements, with confirmation according to the agreed setup.
Legal and contract questions, referred to a person.

What the AI handles

Presents active projects with phase, unit types, and starting prices.
Walks buyers through installment plans — down payment, monthly terms, handover timing.
Collects budget, area and unit type, then passes the visit request to the team or connected booking system.
Responds to after-hours inquiries from social ads, so leads stay warm.
Declines legal and contract questions and escalates them to a human agent.

How Sheba fits

ChatSheba works across WhatsApp, Telegram and the website, and social ad visitors can be directed to WhatsApp. Direct integration with additional channels or an existing customer-management system is defined through a separate request and clear scope.

Buyer qualification: ChatSheba
Answers project questions and collects buyer requirements and visit requests through WhatsApp, Telegram and web, with ad visitors directed to WhatsApp.
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Agents for lead follow-up
Following up with a buyer who has not booked yet, and writing the qualification result to the CRM, are steps an agent can take.
See how AI agents work
Custom CRM integration
Sheba builds the link to your CRM to the same standards as its products, for cases that need deeper integration.
Explore custom AI engineering

From first message to CRM record

ChatSheba on WhatsApp, Telegram and web; additional channels by separate request.
An agent that collects buyer requirements and visit requests for team follow-up.
A project and unit knowledge base.
Custom engineering for the CRM.

Guardrails and data boundaries

Per-deployment data boundaries and hard escalation rules — legal, contract, and custom payment plans go to a human. A guardrail prevents over-promising delivery dates. The brand avoids legal exposure because contract discussion stays with people.

PDPL-aware by design
On-prem and regulated-residency paths
Per-deployment data boundaries
Human escalation as a control

Security and data boundaries

Composite industry example

A real estate developer with a multi-project portfolio runs an Arabic AI agent across WhatsApp, Telegram, and social channels. It presents active projects with phase and starting prices, walks buyers through installment plans, and qualifies them by budget, area, and unit type before scheduling a site visit. Legal and contract questions are declined and escalated to a human, and a guardrail prevents over-promising delivery. Site visits arrive pre-qualified, and after-hours social leads stay warm.

Turning real-estate inquiries into qualified sales opportunities

How this pattern is set up

Channels: WhatsApp, Telegram and web; social ads direct customers to WhatsApp
Systems it reads and writes: the project knowledge base and the CRM
Escalates to: a human agent on legal and contract questions

Part of 30+ production deployments across 14+ industries.

See the deployment pattern

FAQ

Common questions

Talk to a Sheba specialist about real estate.

Discuss your use case