According to the Future of Work Survey by JLL Research (2025), 89% of C-suite leaders believe AI can help solve major CRE challenges. The question is how.
The answer is:
And it’s just the beginning.
Here, you can explore real examples of AI agents for real estate agents, property managers, real estate investors, mortgage loan officers, and real estate developers. See the table of contents on your right and jump straight to the topic you are interested in.
Agentic AI in real estate is an autonomous artificial intelligence system that plans, reasons, and acts independently to complete complex multi-step tasks with minimal human oversight. Unlike traditional AI tools that wait for prompts, agentic AI proactively initiates actions, learns from data patterns, and continuously improves its decision-making capabilities over time.
For instance, AI agents for real estate can automatically schedule and reschedule property showings by coordinating multiple calendars, analyze the property condition and sales data to suggest optimal listing prices or investment opportunities, manage entire lead nurturing sequences from initial inquiry through contract negotiation, and automate common maintenance work orders by connecting with vendors and tracking completion status.
According to Precedence Research, the global agentic AI market was valued at USD 5.25 billion in 2024 and is projected to reach USD 7.55 billion in 2025 and USD 199.05 billion by 2034 with a CAGR of 43.84% during the forecasted period. (source)
In 2024, the cognitive agents segment accounted for 34% of the agentic AI market. Virtual assistants and co-pilots became the first step from automation to autonomy.
It’s when agentic AI seeped into the real estate industry. From chatbot-like advisors in property marketplaces to CRM AI assistants that help brokers navigate complex systems and massive data volumes, agentic AI has the potential to become a key to smarter automation across all real estate segments.
If you’re weighing options in the AI market, the gap between “AI Agent” and “AI Assistant” can look narrow—until you get into the details.
AI Assistants handle tasks predictably. They schedule meetings, answer standard questions, and manage reminders, usually following simple scripts. AI Agents, on the other hand, are designed for more complex problem-solving. They use context and past data to automate multi-step tasks and even suggest the next best steps.
| Feature | AI Assistant | AI Agent |
|---|---|---|
| User Interaction | Reactive | Proactive |
| Decision Making | Follows rules | Weighs options, learns patterns |
| Learning Approach | Applies pre-trained knowledge | Often includes real-time learning and adaptation |
| Examples | Suggest answers, summarize notes, draft emails | Trigger actions, query data, execute multi-step workflows |
Note: AI agents are designed to take on a part of a job that can be described by an extensive set of rules and nurtured by an enormous volume of data. AI agents cannot replace real estate professionals.
An AI agent for real estate cannot replace a human real estate agent but can help with admin work that takes up a lion’s share of their working time.
Some key functionalities offered by AI real estate agents include:
The functionality of an AI agent for real estate can vary according to your needs and current priorities. If you are unsure about investing in an AI agent from the get-go, we can start small with one of the features listed above. This way, you won’t overpay for excessive functionality while slowly introducing AI into your business processes.
For example, if you are drowning in paperwork, start by incorporating AscendixDA, an AI-powered, customizable platform for intelligent document processing into your workflow. It guarantees data extraction & entry accuracy without investing in a ground-up solution.
Contact Ascendix Technologies for a more detailed consultation and road mapping.
Agentforce is Salesforce’s platform to deliver fully customizable autonomous AI agents that can connect to any enterprise data and take action across sales, service, marketing, and other business functions. Agentforce agents operate autonomously by retrieving the right data on demand.
Agentforce is built on Salesforce’s trusted platform to ensure data security and seamless integration with existing business systems.
Agentforce has shown a huge leap in efficiency of customer support, so it now expands to other less business-oriented Salesforce products, like, for example, Education Cloud.
The best part about Agentforce is It lowers the barrier compared to building agents from scratch, but adopting it fully—especially for sophisticated, enterprise-grade use cases—often requires partner assistance or internal Salesforce expertise or Agentforce Implementation Partner involvement.
“ Forget about technology for the IT team, and not for me. Technology is for everybody. But AI has been such a democratization of this knowledge even further. What Agentforce brings to this is a way for you to easily build and deploy that agent to make your business more efficient, not just in limbo but creating that connection with your data. ”
Andrea Carvahlo, Principal Technical Instructor at Salesforce, has explained where to start with Agentforce when you know nothing about AI and gave multiple learning resources in the latest episode of The Concrete Voice podcast.
If you’re not ready to invest in Agentforce or migrate to Salesforce, Ascendix Technologies consultants can help you find a suitable solution.
Ascendix Technologies can help you with Agentforce, and provide consulting.
There are three major ways to use a real estate AI agent for landlord and tenant representation:
We see modern clients demanding round-the-clock answers, zero oversights, and full documentation on every deal. That’s the bar now. And AI advisors can provide initial assistance with in-depth area information and price guidance.
“ A community of buyers and your customers, who have access to more knowledge and data than ever, and ultimately, they're going to judge everybody in the real estate sector on their experience in doing business with them. If that experience is really chunky and it's really protracted through old school methods of communication, then you're not working to your advantage there. ”
There are many more ways in which top property marketing places use AI, so we will not focus on it here.
Another way to use AI agents for real estate is to support the admin processes that usually take too much time. For example, data entry. CBRE uses the power of AI to save up to 25% of time on contract data abstraction annually. Unfortunately, the lack of specialized solutions on the market is quite palpable.
That’s why Ascendix Technologies has designed a flexible, FIPS 140-2 compliant, AI-powered platform for document abstraction and data entry automation with 256-bit AES encryption for your data safety. The platform is made to become a solid basis for your custom solution, so the development is cheaper and faster than beginning from scratch. And this way, we can guarantee that the final product is not a generic document abstraction solution tagged as “real estate specific.” We train AI on your documents, adjust it to work with your CRM or ERP, and suggest future-proof solutions based on over 15 years of experience in the industry.
“ Real estate generates a lot of documents, lots of information is possessed in these documents. So we've become very aggressive in our investments in dealing with this inefficiency of abstracting data from these documents and having those be democratized in systems that are supporting decision-making on a daily basis. ”
What you need to do:
AscendixDA is your way to get your data buried in paperwork into the digital system without hiring a department of data clerks.
AI in mortgage lending has been increasingly gaining interest over the past year, especially regarding AI-powered underwriting automation and fraud detection. Thanks to AI agents for real estate that can perform advanced in-depth document analysis, those two processes have become less reliant on human oversight.
In 2024, about 60% of mortgage organizations already used or planned to start using AI tools, according to the National Mortgage News. And this number keeps increasing.
It promises big improvements for mortgage loan officers and firms sick of paperwork and busywork. But everything comes with a price, and it’s not always about the money. You get autonomy, but you lose direct control. You get speed, but risk accountability slipping through the cracks.
| AI Agent | AI Assistant | |
|---|---|---|
| Underwriting | Conducts end-to-end underwriting and suggests a final decision with listed reasoning | Handles document processing and verification, credit memo preparation, and standard scenario analysis |
| Exception Processing | Handles complex scenarios like non-warrantable condos, unique property types, and non-traditional credit using advanced reasoning | Escalates complex cases to senior underwriters with detailed analysis and recommendations |
| Loan Servicing | Automatically prepares servicing packages and coordinates loan boarding with servicers | Assists with servicing transfer documentation and quality checks |
| Fraud Detection | Uses advanced pattern recognition to identify and prevent mortgage fraud schemes in real-time | Flags suspicious patterns and activities for human fraud analyst investigation |
| Data Verification | Performs real-time loan file audits, identifies defects, verifies the data, and shapes the suggestions accordingly | Conducts quality reviews and generates exception reports for human analysts |
| Pipeline Management | Autonomously manages the loan pipeline, qualifies leads, predicts closing dates, and optimizes workflow allocation | Provides pipeline reporting and forecasting tools with analytics |
A late 2024 survey conducted by technology provider Cloudvirga found 60% of recent home buyers (mostly Millennials and Gen Z) would look elsewhere if they knew that a mortgage lender heavily relied on AI during processing.
No AI agent for real estate is perfectly intelligent, optimized, trained, and deployed. That’s why we do not recommend shifting the responsibility of final decision-making to AI agents, but use them to optimize your workflows and provide you with data-backed suggestions and validated, structured reasoning.
The mortgage industry faces, on average, more fraudulent activities than other real estate sectors. Inscribe.ai offers AI risk agents that have multiple layers of checking document alterations: x-rays, masking, anomalies, whether the identical document has been submitted before, how recent the data is, and whether the name is featured in any blocklists. Based on this analysis, Inscribe.ai recommends further actions.
Moving on to the underwriting.
Cactus stands out as a real estate AI agent designed for commercial mortgage professionals to automate underwriting and market research tasks at scale. It can process all documents necessary for comprehensive underwriting, from rent rolls and T-12 financials to offering memorandum and employer references, with over 99% accuracy in data extraction.
Cactus Document Extraction Interface | Source: Cactus
Upload your documents and, within seconds, receive clear outputs backed by live market data. Cactus’s AI does not make decisions instead of you, but helps with paperwork, double data verification, data extraction, and entry, etc.
Of course, Cactus works best within its core area: underwriting-focused documents. If you’re looking to dig into materials outside that scope or want to unlock more advanced market analytics, Cactus offers flexible add-ons. You can buy financial modeling upgrades or enhanced data feeds as needed to expand functionality.
Basic plan for this AI agent for real estate is $349/month with 3 seats included, and the ability to buy additional ones $99 per seat.
A well-developed AI agent for real estate can automate a lion’s share of property managers’ daily grind. While AI-powered assistants are perfectly capable of handling basic requests, sending pre-saved follow-ups, flagging potential risks, and organizing the documentation, AI agents require much less human oversight while personalizing communication on another level.
| AI Agent | AI Assistant | |
|---|---|---|
| Tenant Screening | Conducts end-to-end screening, from asking tenants for additional information to listing the reasoning for the decline or eviction | Flags potential risks and suggests further actions, like contacting the previous property owner or asking for additional information |
| Follow-up | Initiates follow-up communications based on tenant history | Reminds the property manager to follow up on pending items |
| Issues Escalation | Determines urgency and escalates complex issues automatically | Flags potential issues for human attention |
| Work Order Processing | Automatically creates, assigns, and schedules maintenance requests | Helps categorize and prioritize maintenance requests |
| Vendor Coordination | Directly contacts and schedules with preferred vendors | Provides vendor recommendations and contact information |
| Payment Processing | Automatically processes payments and handles late fees | Monitors payment status and alerts to delinquencies |
Even the most advanced AI agent for real estate is not a perfect property manager that works around the clock and has everything together. But when about 80% of tenant queries can be handled by an AI-powered conversational solution, there is no reason to spend your precious time on the same questions and cookie-cutter chats with vendors.
Botel AI is a property management and hospitality operations solution that can handle tasks like tenant communication, maintenance ticketing, and lease management with almost no human effort.
Botel AI claims that their solution helped property managers cut response times by as much as 65%, and some have seen 40% fewer recurring maintenance requests thanks to predictive problem detection. Also, it has a real-time multi-channel messaging (SMS, WhatsApp, email, Airbnb inbox, all under one roof), keeping updates flowing and guests never left waiting.
Botel AI Functionality | Source: Botel AI
Financial tracking and rent collection move just as quickly. Automated reminders are sent, payments are tracked, and compelling reports are composed, meeting all deadlines.
Unlike typical bots, Botel AI supports multiple languages and personalizes every message, learns from feedback, and gets smarter over time. If a question stumps it, the system asks you for guidance and logs the answer for next time.
If you’re looking to build AI-powered property management tools, explore Ascendix’s property management software development services. We possess industry expertise in building software for managing all types of properties, as well as technical experience in implementing AI solutions.
The area where an AI agent for real estate can make a difference in the investment space is data analysis. AI agents learn and thrive on data, so in-depth real-time analytics of the investment portfolio and market conditions, as well as building data-backed predictions, are the best opportunities to use sophisticated algorithms to nurture decision-making.
| AI Assistant | AI Agent | |
|---|---|---|
| Data Integration | Processes data provided or queried by the user | Actively pulls data from multiple sources (including MLS and public records), encompassing the whole picture |
| Learning Potential & Personalization | General knowledge with limited personalization | Learns investor preferences and adapts strategies over time |
| Risk Management | Provides risk analysis while interacting with data | Actively monitors portfolio risks and alerts to potential issues |
| Tenant Management | Helps draft lease agreements and tenant communications | Automates tenant screening, rent collection, maintenance requests, and lease renewals |
Julius AI joins a new class of analytics tools that are built with artificial intelligence at their core. The design focuses on a chat-based interface, and that simple approach really does change how teams work with data.
Julius lets you upload files (CSV, Excel, or similar formats) and then interact with your data by chatting in plain English. You can ask for a summary, run calculations, build charts, or even clean messy data.
Cumulative Risk Ratings Analysis by Julius AI | Source: Julius AI
The biggest advantage is that the learning curve here is almost flat. No setup or onboarding. Also, it has rather versatile data visualization functionality, from bar charts to heatmaps.
However, if your company relies on deep, multi-layered dashboards that track data from dozens of sources, Julius may not meet all your needs. Agentic capabilities in this tool are limited. Tools like Power BI or Tableau are still the go-to for enterprise-wide analysis and long-term trend tracking.
Such key processes as putting up walls or setting up wiring are not likely to become AI-automated, but construction progress capturing is already safer and much more efficient with agentic AI for real estate.
AI-backed robots roll through Seattle construction sites, saving time, effort, and making visual data analysis more comprehensive.
AI-Backed Robots on Seattle Construction Site | Source: Skanska
According to Stewart Germain, Director of Innovation & Sustainability at Skanska USA Commercial Development, construction site photography takes up to 40 hours per week. The task requires efficiency to not interrupt construction workers, precision for clear progress analysis, caution to stay safe on the construction site, and safety protocol knowledge to flag potential issues.
“ We do that a lot in most of our job sites, but it’s usually a project engineer with a GoPro on their hard hat or a camera on a stick. They walk around the job site as often as they can and try to stand in the same places as much as possible to capture information. But they’re humans and they also have a lot of other work responsibilities. ”
Now, the Didge robots give architects and Skanska’s development team near-constant eyes on a project site. Instead of asking engineers to go around on the Zoom call, you can have high-resolution, 360-degree photography that gives an almost immersive experience of being on a construction site.
Also, Nextera’s AI keeps a close watch on safety at every job site. It scans images for any slips in safe work habits or missed rules. If a worker skips their gloves, uses a ladder the wrong way, or leaves a floor opening uncovered, the system pulls it into a clear, organized report and sends it straight to the safety personnel. As a result, real-time feedback, fewer blind spots, and safer people.
Real estate developers can also use AI agents for real estate to reduce the amount of administrative work, like data entry and email drafting.
More than 40% of agentic AI projects will be cancelled by the end of 2027 as organizations struggle with rising costs, unclear business value, and inadequate risk controls, according to a new forecast from Gartner.
In order not to get into those 40%, start by analyzing your business goals and hiring a knowledgeable consultant now.
Skipping data and system modernization before AI rollout significantly increases project risk. Future Processing explains why AI implementation without proper modernization often leads to poor scalability, security gaps, and limited ROI — and how to avoid these pitfalls.
“ That's an important lesson for any enterprise, commercial real estate, or otherwise, that's thinking, "How do I implement AI?" That exact line of thought is probably one of the best ways to approach it: "What can I do to impact my business the most now? Are there some pain points that I can address?" Don't try to go out and just think, "Oh, this will be cool." Don't do that. You have to understand yourself and your business.
You can't try to do everything at once. Pick one, two, or three pain points that you need to solve, and look to see if AI is ready to solve that pain. It may not be. That will be the recipe for a successful introduction of AI in your organization. ”
In-depth business analysis will eliminate the vagueness of the business value of an AI agent for real estate. As soon as you find the problem that solving can drastically impact your business, you will get an immediate payoff.
An experienced AI partner will navigate you through the complexity of the cost structure most AI agent development entails. We will help with finding more budget-friendly but still robust AI technologies, so you do not face too big upfront costs. Clear financial reporting and open strategic discussions will keep you informed where your money goes.
Regarding risk controls, we always educate our clients on the risks of overreliance on AI and its unfair usage. We provide training sessions for your team and can help with user adoption.
Security risks are usually handled by the vendor. For example, Ascendix Technologies has an ISO 27001:2022 and uses top-tier security measures like 256-bit AES encryption and Virtual Private Cloud (VPC) technology. This way, your data is not shared with unvalidated third-party services and is impossible to access without being authorized. It also makes the solution compliant with key data protection regulations like the Fair Credit Reporting Act (FCRA) and General Data Protection Regulation (GDPR).
With correct initial analysis and thoughtful guidance, you can become one of the 60% of successful agentic AI projects.
JLL, Hanna Commercial, Lee & Associates, and over 300 real estate firms around the globe have entrusted their technological success to Ascendix Technologies. We have successful AI implementation cases as well as our own AI-powered products.
As a Salesforce Summit Partner and member of the Agentforce Partner Network, we offer comprehensive services for businesses of all types and sizes, thanks to over 150 Salesforce certifications and over 15 Agentforce specialists on the team.
Ascendix Technologies draws on over two decades of experience to help you with:
Contact Ascendix Technologies to move from basic automation to data-driven autonomy.
Simple AI Agents for real estate usually start at a few thousand dollars (up to $25K). It depends on the complexity, the level of customization, existing infrastructure that can simplify as well as abstract the integrations, data availability and quality, etc. This way, an AI agent for real estate with access to external knowledge and robust security typically starts at $100K. Mentioned prices do not include maintenance costs. For more precise estimations, use our calculator.
Agentforce offers a free tier through Salesforce Foundations for Enterprise Edition and higher customers, including 1,000 conversations and leads. Beyond this, pricing is $2 per conversation/ interaction for the Service Agent package, which includes Agent Builder and Prompt Builder features. Ascendix’s Quick Start Package is $3,600.
An AI agent for real estate typically takes on common administrative tasks like data entry, meeting scheduling, reminders, task creation, taking meeting notes, etc. Decision-making is a real estate agent’s responsibility.
AI agents for real estate can be customized for handling different data volumes to fit businesses of different sizes. They can connect to any data source and use it in real time, or be limited to your inside information. They can be trained on different data sets and follow custom protocols. AI agents can have different features, from smart property matching to advanced market analysis.
If you have an idea in mind, contact our experts for a free consultation to better understand the feasibility and budget.
Kateryna is an experienced writer focused on topics related to Salesforce consulting and optimizing operations within the real estate industry via CRM implementation. Through her insightful articles, Kateryna aims to help organizations make the most of their Salesforce adoption.
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