What Are the Uses of Artificial Intelligence in Real Estate?

In the era of rapid technological development, innovation has become the key to the success of companies and their ability to continue competing. Voice AI stands out as a revolutionary solution in the Saudi real estate sector, as it enables instant communication with customers in their dialects around the clock without the need for additional costs or training new employees. Solutions such as Wittify.ai provide smart voice agents that support more than 100 languages, in addition to 25 different Arabic dialects, reducing customer loss resulting from delayed responses or limited working hours. The combination of real estate expertise and advanced technical infrastructure creates an integrated marketing strategy capable of qualifying potential customers and increasing conversion rates, giving companies a qualitative leap in the real estate market.

The Role of Voice AI in the Real Estate Sector:

Voice AI is a system that combines speech-to-text (ASR), natural language understanding (NLU), and text-to-speech (TTS) to provide human-like voice conversations. This creates a more interactive and warmer experience than text chat alone, especially in a society that values verbal communication.

The Difference from Text Chatbots and Traditional Call Centers:

Instant voice response reduces the barrier of use for callers.
The ability to speak in local dialects increases the level of trust and understanding.
The ability to integrate with databases and CRMs makes answers personalized and updated.

Practical Examples:

Receiving an inquiry about a housing project: the voice agent checks availability, asks about the budget, determines the seriousness of the customer (lead score), then suggests appointments for visits or transfers the customer to a human representative.

Following up with customers who showed interest through a Facebook ad but did not complete the form: making an automatic call to remind them and present the offer’s features.

2. Development Capabilities:

Building customized conversation scenarios for each type of customer such as investor, first-time buyer, or tenant.
Integration with databases to analyze customer history and provide personalized offers.

Thus, voice AI is not just a bot; it is a smart interface that connects marketing, sales, and customer service in a continuous and personalized way.

How Does Voice AI Qualify Potential Customers 24/7?

The system ensures that no opportunity is lost even outside working hours, where automated qualification processes (lead qualification) are applied as follows:

1. Automation of Initial Screening:

a. Asking the customer about their goal (buy, rent, or invest), budget, timeframe, and basic requirements such as number of rooms and location.

Building Decision Rules for Classifying Customers: Ready for a human call, needs follow-up, or not qualified for now.

2. Speaking in Various Arabic Dialects:

a. Supporting Saudi, Gulf, and Egyptian dialects increases the rate of completed conversations and reduces misunderstandings.

b. The system’s ability to recognize local expressions, such as “I want an apartment close to work,” and converting them into formal requirements.

3. Automated Follow-up and Reminders:

a. Scheduling reminder calls or sending text or voice messages before visits.
b. Retargeting customers who were placed on a waiting list after a specified period.

4. Recording and Analyzing Conversations:

a. Extracting keywords, customer notes, and measuring tone of voice to help the sales team prepare.
b. Generating automatic recommendations for email content or customized price offers.

5. Smooth Transition to Human Agents:

a. In case of complex questions or the customer’s wish to speak with a representative, the system transfers the call and provides the representative with the conversation record and the lead score.

By applying these mechanisms, the company has a continuous system to capture, screen, and follow up with customers, significantly reducing the chances of losing leads during busy times or after working hours.

The Practical Benefits for Saudi Real Estate Companies:

In light of increasing competition and changing customer expectations in the Saudi market, adopting voice AI technologies in daily operations has become a strategic choice that achieves tangible and quick results. These benefits are not limited to improving the company’s image in front of its customers but also extend to enhancing operational efficiency and increasing revenues. Since we are focusing here on measurable results, the most prominent practical advantages can be summarized as follows:

1. Improving Response Speed and Service Quality:

Voice AI enables providing immediate and fast responses to customer inquiries, which greatly enhances the user experience. This instant interaction not only facilitates communication but also increases the likelihood of converting an interested customer into an actual visitor to the website, scheduling a visit, or making a purchase. Every second of delay in responding may mean losing an important opportunity, and this is where AI plays a role in bridging that time gap.

2. Reducing Operating Costs:

By using voice AI technologies, the need to hire large numbers of reception and customer service employees decreases, especially during peak hours or night shifts. This not only reduces salary-related costs but also ensures continuous service around the clock while maintaining a high-quality level without fatigue or performance decline.

3. Increasing Conversion Rate:

By intelligently filtering and qualifying potential customers, the system enables representatives to focus on deals with the highest probability of closure and success. This leads to better utilization of human resources and improves sales team efficiency, as no time is wasted following up with unqualified or non-serious customers.

4. Scalability:

Voice AI can handle thousands of calls simultaneously, especially during marketing campaigns or project launches. This allows companies to deal with large numbers of potential customers without significant increases in operating costs or logistical complexities related to hiring more staff.

5. Valuable Data and Analytics:

The system helps collect and analyze massive amounts of data related to customer preferences, most demanded geographic areas, and frequently asked questions. These insights allow for improved products and offers and the development of more precise and effective marketing strategies based on a deeper understanding of the market and customer needs.

6. Enhancing Brand Image:

Relying on voice AI technologies reflects a modern and advanced image of the company, presenting it as an innovative institution ready to keep pace with the digital age and its requirements. This positive image strengthens customer trust and enhances their preference for the brand compared to competitors.

Therefore, these benefits are not just theories or future ideas, but practical and direct effects that clearly appear in improving customer experience, reducing operating costs, increasing revenues, and providing accurate data that supports smart and effective marketing and planning decisions.

Legal and Ethical Considerations: Is It Permissible to Use Voice AI?

But the crucial question remains: is it permissible to use voice AI? From the perspective of Saudi laws and ethical standards, the answer requires understanding the following:

1. Saudi Privacy Framework (PDPL):

Processing personal data requires legal grounds such as the consent of the data subject or other legal justifications. Companies must comply with the requirements of the Saudi Personal Data Protection Law (PDPL), such as defining the purpose of processing, maintaining confidentiality, and protecting rights.

2. Disclosure and Transparency:

It is best to inform the caller that the call is managed by an intelligent system or that the speaker may be a voice agent, and that the call may be recorded for service improvement or archiving purposes.

3. Consent to Use Voice or Imitate a Human Voice:

If a synthetic voice resembling a specific person is used, or if the company wants to use previous customer recordings, clear and explicit consent must be obtained.

4. Data Retention and Security Policies:

Encrypting conversations, limiting retention time, and ensuring restricted access to call logs are basic measures for compliance.

5. Ethical Use of AI:

Avoiding deception such as leading the user to believe they are speaking to a human when this is not clear, and avoiding misleading promises or information about property availability or prices.

In conclusion, yes, it is permissible to use Voice AI in the Saudi commercial context provided companies comply with data protection laws and adhere to standards of transparency, consent, and confidentiality.

Why Choose Wittify.ai for Voice AI in Real Estate?

Amid the increasing challenges faced by real estate companies in Saudi Arabia, the role of intelligent solutions that provide smart and effective voice interaction with potential customers emerges. Wittify.ai offers innovative solutions based on Arabic-speaking voice agents working around the clock to ensure constant communication and higher conversion of inquiries into successful deals. Wittify.ai is a practical choice for Saudi companies seeking a ready-to-use voice solution due to the following features:

No-code platform for creating voice agents: enables marketing and sales teams to build conversation scenarios and deploy them without developers.
Support for Arabic dialects and international languages: local dialect support increases communication effectiveness, and the company offers customization of tone and dialect suitable for the Saudi audience.
Ready use cases for real estate: tailored scenarios for answering price inquiries, scheduling visits, and retargeting abandoned leads.
Integration with CRMs and marketing tools: linking the voice agent with the customer database allows updating lead status and maintaining a complete conversation log.
Local presence and financial credibility: the company has obtained funding to expand its services and provide localized solutions for the Arab market.
Intelligent voice agents: capable of natural interaction with customers, with deep understanding of diverse Arabic dialects, enhancing the customer experience.
24/7 interaction: ensures no missed opportunities or inquiries and increases response speed and customer care.
Increased conversion rate: by smartly qualifying leads and analyzing their data to provide tailored solutions that increase deal completion rates.
Seamless integration with company systems: helps manage data and conversations effectively without complexity.
Cost savings: reduces the need for large employee teams while maintaining high communication quality.

With these capabilities, Wittify.ai enables Saudi real estate companies to update their sales and customer service strategies, making them more competitive in a fast-evolving market, while achieving better returns from every customer interaction. Wittify.ai combines technology with local customization, making it a strong candidate for trying voice AI solutions in Saudi real estate.

Practical and Realistic Implementation Steps (Execution Roadmap):

The following is a comprehensive implementation plan that takes you from the idea stage to full operation, supported by practical tips to help you execute each step efficiently and clearly:

1. Defining goals and project scope (Week 0): what do you want to improve – lead conversion, reducing support calls, or increasing weekly appointments.
2. Preparing basic conversation scenarios (Week 1–2): scripts for greetings and basic questions such as budget, location, property type, and rules for transferring to the sales team.
3. Training and refining models in local dialects (Week 2–4): collecting local speech samples to test ASR and NLP, and adjusting common expressions in the Saudi market.
4. Integration with CRM and scheduling systems (Week 3–5): testing sending and receiving customer data, updating lead status, and opening follow-up tickets.
5. Launching a pilot for 4 weeks: deploying the voice agent on one channel such as phone or website and monitoring KPIs such as number of calls, call duration, lead score, and conversion rate.

6. Continuous measurement and improvement: reviewing recordings, refining scenarios, and adding responses to FAQs.

7. Multi-channel expansion: deploying the same agent on WhatsApp (if legally or technically allowed), landing pages, and call centers.

Following a clear roadmap ensures thoughtful and measured deployment, transforming the experience from testing into ongoing operations.

Practical Hypothetical Scenarios (Use Cases):

The following are brief models that demonstrate how the voice agent interacts with common situations in the Saudi market:

Scenario of a customer asking about an apartment in a new project in Dhahran.
a. The agent: asks about the target move-in year, budget, and desired area.
b. Result: classified as an interested visitor and a visit scheduled at the earliest available time.
Scenario of an investor looking for rental returns in the Jeddah area.
a. The agent: collects information about the property type (residential or commercial) and expected period, and explains available financing options if any.
b. Result: transferred to the investment analyst with a summary report of the customer request.
Scenario of following up with a customer who left the contact form incomplete.
a. The agent: reaches out within 24 hours to remind them and presents a limited-time promotional offer to increase the chance of closing.
Scenario of technical support for tenant maintenance requests.

a. The agent: takes problem details, issues a ticket, and schedules an appointment with the maintenance team, with a voice/SMS confirmation sent.

Voice agents are capable of handling a wide range of scenarios, from marketing to after-sales service.

Key Performance Indicators (KPIs) and How to Measure Success:

To justify the investment, measurable KPIs must be identified to demonstrate the system’s value. To measure success, it is necessary to understand the following ideas:

1. Lead-to-Appointment Rate

2. Average Response Time

3. % Qualified Leads

4. Cost per Lead (before and after implementation)

5. Appointment-to-Deal Rate

6. Customer Satisfaction (CSAT) after the voice call

7. Reducing human staff hours spent on routine tasks (Hours Saved)

Tracking these indicators before, during, and after the experiment will show the impact of voice AI on performance and ROI.

Technical and Integration Elements to Consider:

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Critical technical aspects to ensure stable and secure performance must be implemented as follows:
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1. Quality of ASR for local dialects

2. Accuracy of NLU and dialog management

3. APIs for CRM and scheduling system integration

4. Security protocols: TLS, encryption at-rest and in-transit

5. Conversation logging and archiving with search and analysis capabilities

6. Backup and disaster recovery mechanisms to ensure service continuity

Adopting sound technical standards ensures a stable and secure user experience and protects the company from operational and legal risks.

Commercial Considerations and Suggested Pricing Models:

Practical pricing models designed to help managers make strategic decisions based on balanced analysis between cost and return. These models aim to provide a comprehensive vision that enables decision-makers to evaluate available options accurately, whether the focus is on reducing expenses or maximizing benefits. This is done through analytical tools and clear comparison methods, providing a deeper understanding of the economic feasibility of each option before proceeding with implementation. They include:

1. Monthly subscription (SaaS) based on number of agents or calls
2. Usage-based model (Pay-per-Call) for companies with seasonal demand
3. Hybrid model: fixed fee + cost per call beyond a certain threshold
4. Free or discounted pilot for a limited time to measure impact before long-term commitment

Choosing the pricing model should align with operating size, sales seasonality, and company growth strategy.

Addressing Common Objections from Sales and Management Teams:

In any project relying on AI technologies, it is natural for concerns to arise from sales or management teams. Addressing these objections early and methodically helps build confidence in the project and accelerates adoption. The most common concerns and practical responses include:

1. “AI will take our jobs.” Response: the goal is to reduce routine work and allow human teams to focus on complex deals and improving customer experience.

2. “Fear of errors or wrong information.” Response: clear rules for escalation to humans in cases of uncertainty, and periodic review of conversations to improve the system.

3. “Concern about cost.” Response: clear KPIs demonstrate savings versus increased conversions, along with a limited pilot to reduce risk.

Change requires good internal management and awareness communication with teams to ensure acceptance and viewing AI as a partner, not a competitor.

Alignment with Saudi Vision 2030 and the Local PropTech Market:

Adopting voice AI solutions at this time is a strategic step that fully aligns with the major transformations taking place in the Kingdom. But why is the timing right now in Saudi Arabia? The answer is:

Government initiatives support digital transformation in real estate and investment in PropTech.
Growing investments in PropTech in the region reflect increasing acceptance of technologies that improve efficiency and service.
Local initiatives and platforms (such as accelerators and incubators) facilitate adoption and integration of solutions locally.

The regulatory and investment environment in Saudi Arabia now encourages the adoption of advanced technological solutions, making investment in voice AI very timely.

Best Practices When Deploying Voice Agents in the Saudi Market:

The success of any voice AI project depends not only on technical quality but also on the way it is applied and managed from day one. To maximize benefit and minimize risks, it is important to follow a set of proven golden rules in the Saudi market environment. These practices ensure smooth customer experience, internal team trust, and fast, tangible results:

1. Starting with a small, measured pilot.

2. Involving sales teams from the beginning to design practical scenarios.

3. Documenting conversation retention processes and privacy policy clearly for users.

4. Training the system with local data and Saudi dialects.

5. Periodic measurement and weekly improvements during the first three months.

6. Clear escalation rules for critical, legal, or financial cases.

Following these practices increases the chances of success and reduces resistance to change within the organization.

Potential Risks and How to Manage Them:

Despite the major advantages of voice AI, introducing it into daily operations may face technical, operational, and legal challenges. Recognizing these risks early and setting clear plans to address them ensures the project continues without interruptions or issues affecting customer experience or compliance. The most prominent risks and practical mitigation solutions include:

1. Dialect recognition accuracy risk: solution – continuous collection of local data and fine-tuning of models.

2. Compliance and data protection risk: solution – clear consent policies, limited data retention, and strict security procedures.

3. Risk of cold or robotic customer experience: solution – warmer scripts and customized responses.

4. Integration risk with existing systems: solution – API and staging environment testing before full rollout.

Risks can be managed through proper design, sufficient testing, and governance commitment.

Quick Practical Appendices:

The following are practical elements that can be used directly when preparing the pilot stage, saving preparation time and ensuring quick launch:

Example greeting script: “Hello, this is [Project Name]. I am an intelligent voice assistant. Are you looking to buy, rent, or invest? Qualification questions: What is your approximate budget? Which city or neighborhood do you prefer? Would you like to schedule a visit this week or next?”
Fields to send to CRM after the call: name, mobile number, request type, budget, location preference, lead score, conversation notes.
Suggested 4-week KPIs table: Weekly – number of calls, qualification rate, number of appointments, number of conversions.
Consent text for using voice (form or call opening): “By continuing, you agree to the recording of this call and the use of your data for real estate communication in accordance with the privacy policy.”

Conclusion:

In conclusion, voice AI has become an essential element for the success of Saudi real estate companies, as it enables customer service around the clock in familiar dialects, with an understanding of their needs and accurate guidance, which raises conversion rates and increases sales. Wittify.ai stands out as an ideal choice thanks to its integration of technology and expertise, solving delays and information gaps. With Saudi Vision 2030 supporting digital transformation, adopting these solutions gives companies a competitive advantage, instant responsiveness, and a personalized customer experience. The time to act is now, and trying Wittify.ai may be the step that places your company at the forefront of the market.