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Why AI is an estate agency’s best team member

In RealEstate
May 15, 2025

Paul Smith

Real estate agents have always overcome their ability to connect with people: generate trust, sacrifice orientation and make what can be a stressful process feels without problems. But as customer expectations and technology evolve, we must now recognize that speed, availability and precision are as important as personality.

That’s where artificial intelligence enters. Not as a disruptor for our industry, but as a powerful tool to help us provide a better and more consistent service. In fact, I could be the best team member that we never knew we needed.

That is why in Spicerhaart we have been investing in AI, to help us provide better services, boost operational efficiency and train our equipment. From intelligent marketing tools to call analysis, and from the optimization of listing to work specifications, the AI ​​is now connected to our daily operations, and is already transforming the way we work.

We are developing our own Segura platform throughout the business, internally developed with adequate compliance, brand and privacy safeguards. We have also created personalized GPT trained in the tone of our brand, data sources and compliance rules.

These tools now generate a significant percentage of our marketing content, with a video source, for example, became six articles short more social publications. We can frequent automatic questions and even support staff training through role -playing simulations and objections management.

Yes, there are challenges. People should receive training to use tools correctly, for one. A great concern is that as an increasing number of real estate agencies adopt the large language models, we are in danger of everything becoming homogeneous.

However, the real power of AI lies in its ability to move to be reactive to proactive. If a tenant informs a touch with leaks, AI can register the problem, authorize a solution within the agreed limits, notify all parties and program a plumber, automatically. All those involved, from the owner to the tenant, receive updates without pursuing. That is not futuristic, it is beginning to happen.

One of the clearest thinkers on this issue is Samantha McLean, manager of the Australian elite agent. She is an early lawyer to use generative not only to rationalize the administrator, but to grow business and personal brand.

She highlights the use cases that include the creation of content involved, the generation of instant listings, the predictive participation of the client and the equally customized video avatars that may present updates or marketing content with Polish and personalization. It is a plan that we are already drawing, with the development of own avatars with regional accents!

More importantly, Samantha constantly emphasizes that the key to effective AI is not to replace interaction, it is enriching it. It is about using digital data and tools to better understand your client, anticipate your needs and communicate in a way that you feel relevant and timely. This is how trust is built.

It has also been appeared on how agents can take advantage of tools such as chatgpt to create perfect email sequences for tone, anticipate objections and also test difficult conversations. This is a real, practical, daily value for coal face agents, not hypothetical future technology.

Mark Cohen, Vice President of Product-Apac in MRI Software, who specializes in software for real estate echo that practical practicality. He told us how AI is now based on the tools that agents use every day.

From listings of automatically generated properties to CRM synopsis that letters agents before a call, its technology is doing the Asier and more precise work. His vision AI even scan the photos of the property for Dectepseurs agents, which could be lost, helping buyers to houses based on visual flavor, not just the specifications leaves.

“We do not believe in ‘Black Box’ ai that makes decisions without explanation,” says Mark. “On the other hand, we ensure that real estate agents remain in control, using the assistant instead of replacement.”

The MRI approach for AI has to do with coverage and consistency. Whether you are processing thousands of public service invoices for larger owners or emerging better data ideas, it is practical, scalable and based on the realities of managing an agency.

Consumers already use the daily life. They are talking to Siri, obtaining Spotify recommendations, reserve hair cuts online. I do not think they care if part of the process of the real estate agency is from AI, whenever it is fast, precise and useful.

In Spicerhaart, that is our approach. Whether you are using AI to generate listed content, improve valuations or automate customer follow -ups, the objective is always the same: offer a better customer experience and a more clear advantage for our agents.

We are also exploring the potential of AI in more strategic areas: analyze behavior signals, go to marketing with greater precision and provide deeper information about why people move and when.

AI is doing the job for us, but it is helping us to do more, faster. You still need to know your trade. But with AI by your side, you can sharpen each part of the process, from the generation of Leads to negotiation.

We are not trying to build robots: we are building better systems, a more emar form of work. The human touch will always import. He only takes the friction of everything that surrounds him. It is about consistency, scale and keep one step ahead of customer expectations.

It is no longer a matter of Wheter AI belongs to the real estate agency. It’s here. The real question is: are you using it to raise your game, or are you still while others advance in front?

We have seen what is possible. And we are just starting.

Paul Smith is a founder and president of Spicerhaart.