Artificial intelligence is already embedded in the way many real estate professionals work. Agents are using it for drafting listing descriptions, responding to leads, generating marketing content, developing CMAs and analyzing market trends. In many cases, it is saving time and helping agents move faster, keeping them focused on advising clients. But speed without guardrails creates risk.
At the brokerage level, AI is no longer just a productivity tool. Without clear guidelines, it can become a compliance issue. That is why more brokerages are formalizing how AI can and cannot be used.
An AI use policy is not about slowing agents down. It is about protecting clients, protecting the brokerage and ensuring innovation happens responsibly.
The Real Risks of AI in Real Estate
The risks tied to AI in real estate are not abstract, and they can show up in day-to-day workflows.
Accuracy
AI tools can “hallucinate,” generating information that sounds correct but is not. In real estate, that could mean incorrect square footage, made-up property features or inaccurate market details. If that information ends up in a listing or client communication, the agent and brokerage are still responsible.
Fair Housing
AI models are trained on large datasets that can reflect historical bias. That bias can surface in subtle ways, like language that suggests who a home is “perfect for” or descriptions of neighborhoods that veer into steering. Even if unintentional, these violations can carry serious legal consequences.
Privacy
Many consumer AI tools store prompts or use them to improve their models. If an agent inputs client information, financial details or transaction documents into an unapproved tool, that data could be exposed or reused in ways the brokerage cannot control.
Compliance and Licensing
AI cannot replace professional judgment. It cannot make agency decisions, provide legal advice or independently determine property value without human oversight. When agents rely too heavily on AI outputs, they risk crossing that line.
Why Brokers Need a Formal AI Use Policy
Brokers already have supervisory responsibilities tied to advertising, disclosures and client communications. The use of AI adds a new layer to that responsibility.
A formal policy creates transparency around how agents use AI and protects the brokerage. A clear AI use policy fosters understanding and accountability:
- Sets guardrails. It clarifies what is allowed, what requires review and what is off limits to guide agents on using AI in their business.
- Creates consistency. Every agent is operating from the same expectations, whether drafting listing language, using a chatbot or experimenting with new tools.
- Reinforces accountability. AI output is not a shortcut around professional standards.
- Outlines responsibility. Agents understand that they are responsible for accuracy, their own compliance and client care.
Just as important, it signals to clients that the brokerage is taking a thoughtful approach to new technology.
How to Implement an AI Use Policy
For brokers, it’s important to focus less on creating the perfect policy and more on creating a practical one that reflects how your agents actually work.
- Audit current use. Identify where and how AI is being used across your brokerage. This gives you a realistic baseline.
- Assign oversight. Designate someone to oversee AI use, often a managing broker or compliance lead. This person reviews tools, approves use cases and updates the policy as needed.
- Create a list of approved tools. Agents should know which platforms are safe for business use, especially when client or transaction data is involved.
- Train your agents. Training is just as important as the policy itself. Agents need to understand what the rules are and why they exist. That includes how AI can introduce bias, how data can be exposed and where human judgment is required.
- Build a review process. AI-generated content should not go straight from prompt to publication. Listings, marketing emails and chatbot responses all require human judgment.
What Should Be Included in an AI Use Policy
A strong AI use policy does not need to be overly complex, but it does need to be clear and comprehensive. At a minimum, brokers should include:
- Scope and purpose. Define who and what the policy covers, including agents, staff and vendors.
- Approved tools and prohibited tools. Identify which platforms can be used and prohibit unapproved tools for clients or transaction data.
- Data protection standards. Outline what information can and cannot be entered into AI systems including limits on personally identifiable and financial data.
- Human oversight requirements. Require review of all AI-generated content before it is shared or published.
- Fair housing and advertising compliance. Set expectations for reviewing content for discriminatory language, steering or other violations.
- Client communication guidelines. Clarify how AI can be used in emails, messaging and chatbots, including when conversations must be escalated to a licensed agent.
- Use limitations. Spell out what AI cannot do, including making business decisions or replacing professional judgment.
- Training and supervision. Outline how agents will be trained on AI use and how compliance will be monitored.
- Incident reporting and enforcement. Provide a clear path for reporting misuse and define consequences for violations.
These elements reflect a broader shift. AI is no longer just a tool used by individual agents; it is part of the brokerage’s operational and compliance framework.
Moving Forward With Intention
AI is not going away. If anything, it is becoming more embedded in the systems agents already rely on. For brokers, the question is not whether agents will use AI because most of them already are. It is whether that use will be intentional, consistent and aligned with professional standards.
An AI use policy is one of the simplest ways to create that alignment. The National Association of REALTORS® has created an AI Policy template specifically for brokers. This template is fully customizable and creates a starting point to help you get a policy up and running in your brokerage.
