What is Agentic AI in Real Estate?

There’s a new AI in town, and it’s reshaping how real estate businesses get work done. It’s called Agentic AI, and it’s ready to help you navigate the complex workflows and mountains of data that are commonplace in the real estate industry.

Agentic AI is an ideal technology to help streamline operations, improve accuracy, and free up real estate professionals to focus on higher-value work.

What is Agentic AI?

Agentic AI is a class of artificial intelligence that acts like a digital teammate—capable of understanding goals, planning tasks, and taking action across systems.

Agentic AI refers to intelligent, digital agents that can:

• Understand user goals
• Plan and sequence tasks
• Interact with multiple systems
• Take autonomous actions to complete work

Instead of responding to user-posed queries, Agentic AI reasons across steps, pulls in context, and executes tasks—much like a human team member.

Here’s a simple, real-life example. Imagine asking your AI assistant, “Help me plan a dinner party.” An AI agent might check your calendar, find a date that works, create a guest list, send invites, order groceries online, and even schedule a cleaning service the day before. All of that—coordinated automatically, with just a bit of guidance from you.

That’s the power of agentic AI: it’s not just smart—it’s useful.

How is Agentic AI Different from Generative AI?

You may be wondering how agentic AI is different from the generative AI tools you’re already familiar with, such as ChatGPT. Unlike reactive chatbots or voice assistants, agentic AI is proactive and autonomous. Generative AI is intended to create new things in response to a prompt from the user. Agentic AI doesn’t need the user to initiate the action – it works autonomously and take steps toward achieving a goal.

How Agentic AI Works in Real Estate

Agentic AI in real estate combines large language models (like those behind ChatGPT) with workflow logic, APIs, and sometimes memory and reasoning capabilities. These agents can autonomously perform tasks such as:

• Lead nurturing
• Property analysis
• Scheduling and calendar coordination

• Personalized client engagement and communication

They integrate with real estate technologies like CRMs, property management platforms like MRI Property Management X (PMX), and potentially other building maintenance systems to streamline operations and decision-making.

Real-World Use Cases of Agentic AI in Real Estate

Let’s take a look at specific ways AI agents can empower teams to operate more efficiently, build stronger relationships, and deliver better outcomes for clients.

• Month-end close: Agentic AI can shorten the time-consuming month-end close process by gathering data, checking for gaps or anomalies, validating entries, and automating reconciliation tasks. Clients that use MRI PMX, our commercial and residential property management and accounting solution, can potentially cut down the month-end close time by 50%, while improving accuracy and reducing manual effort.
• Real-time portfolio monitoring – AI agents can stay on top of changes in your property portfolio to help you sift through the noise and get the most important insights.
• Anomaly identification – Proactively find occupancy or rent anomalies, trigger alerts, and take action to resolve the situation.
• Tenant service management: Use AI agents for tenant service requests to boost engagement. Agentic AI can automatically identify the issue from an uploaded photo, route it to the appropriate vendor, schedule a convenient timeframe for both tenant and vendor, and manage workorder approvals – resulting in a seamless customer experience with minimal friction and human input.
• Compliance management: Meet regulatory requirements and maintain compliance across your operations with agentic AI. By understanding your business processes and taking action based on established rules, agentic AI can automate different types of compliance — audits, sustainability, regulatory-related compliance, and even validating COIs before vendors are approved and scheduled.
• Accounts payable process – AI agents can reduce invoice discrepancies and match invoices to purchase orders, helping speed up the approval process and increase accuracy. Check out the invoice automation AI agents from MRI’s partner AvidXchange.

Benefits of Agentic AI for Real Estate Professionals

In an industry built on relationships, AI agents offer opportunities for us to reimagine how we work.

• Time Savings: There are endless use cases for how AI can automate manual, repetitive tasks, which save significant time for property teams. But the field of agentic AI technology goes far beyond automation – it uses intelligence to take a series of actions off your plate, helping you achieve a specific goal with little oversight required.
• Better Client Experiences: When AI agents support commercial and residential tenants for work orders, equipment maintenance, safety and other tasks, humans can focus more on building and maintaining relationships and let AI handle the backend. Plus, tenants get better service – they don’t have to wait on a person to initiate a response to their problem because the AI agent is already on it.
• Data-Driven Decision-Making: AI agents can surface insights and anomalies in real time. In an industry that generates massive amounts of data, whether from properties, investments, or asset management, the ability to quickly find the needle in the haystack can be the difference between capitalizing on a strategic opportunity or missing out.

Challenges and Considerations of Agentic AI

Like all AI-enabled solutions, AI agents should be developed by a trusted source. The same data governance and privacy concerns that come with other LLMs apply to Agentic AI, and humans are still essential to the decision-making process.

• Data governance: Many real estate organizations already have the data they need to make decisions and answer questions, but it’s not readily accessible as part of a standard workflow. Understanding the data you have today and defining rules to standardize it is the first step to ensuring that data can be used as part of day-to-day business processes.
• Privacy and security – AI agents need access to relevant information to achieve the desired outcome. This can include lease documents, contracts, finance and accounting data, and other confidential items. Any AI technology used by businesses should have robust encryption and access control mechanisms in place, ensuring that personal and financial information remains protected against unauthorized access.
• Compliance –AI Agents should be educated on applicable compliance rules to avoid risks. For example, if an agent is sending communications on behalf of the business, it needs to understand GDPR rules to verify that it has permission to use the recipient’s information in certain ways. When developed properly, AI agents can simplify compliance and ease the administrative burden by learning and keeping up with changes over time.
• Cost and ROI – Developing AI agents in-house may be cost prohibitive for many businesses. That’s why it’s critical to work with a provider that follows a responsible, ethical AI strategy and ensures that the outcome will deliver measurable ROI for your use case.

Getting Started: How to Adopt Agentic AI in Your Real Estate Business

The fastest way to start benefiting from agentic AI is to partner with a technologist that has the expertise and resources to develop AI agents for real estate use cases. While AI frameworks are openly available, the process of accurately building and training agents for complex tasks may require more investment than many real estate businesses can spare.

A Responsible Approach to AI

Partnering with a provider that holds itself accountable for the AI technologies it creates is the best way to get ROI – without sacrificing peace of mind.

All AI solutions should be built with proper inputs and controls in place to ensure they are safe and reliable. The software development teams who build AI-based systems — and the product owners who buy them — should be held accountable for the selection and choice.

MRI Software’s responsible AI framework helps real estate firms harness the power of AI to drive innovation while ensuring the technology is used in a way that benefits all stakeholders and upholds the highest ethical standards.

The Future of Real Estate with Agentic AI

The number of AI agents is growing rapidly, and leaders in the real estate sector should consider agentic AI as part of their technology strategy to support business goals. By now, most employees are very familiar with generative AI tools – maybe more familiar than leaders realize – but AI is moving quickly, and it’s already time to embrace another new tool. In the near future, humans will likely be working alongside AI agents to do their job.

Agentic AI is more than a buzzword—it’s a practical, powerful tool that offers greater efficiency, lower costs, and a promising future for the industry.

Resources and tools

Demystifying AI for real estate: 8 real-world scenarios where AI is making a difference

Choosing the right AI tools for your real estate scenarios

Guide to AI adoption for real estate firms