Why agentic AI is making the real estate industry smarter

Many in the real estate industry have certainly already tested Claude, ChatGPT and Copilot. But how many have an AI that qualifies tenant leads, guides new movers, handles bug reports or compiles operational data?

The move from using AI as a personal aid to allowing it to act independently in the business is still relatively new. That's exactly what agentic AI is all about.

AI - From Tools to Employees

A chatbot can answer questions. An AI agent can act. It can have a dialogue, ask follow-up questions, assess what needs to be done and then actually do it. It can create a case, send a notification, or update a system. It can also decide when not to act, but instead hand over to a human.

The difference, then, is not just that AI has become smarter. It has gone from being a tool we use to an employee who works independently. This is why the term “agentic” is used, the AI has agents. It has a role, a goal and the judgment to make decisions, just like a human being.

It's an open goal for the real estate industry

My observation, as someone who has come from outside and worked in other industries, is that the real estate industry is as given to embracing AI.

Just consider how many contact areas a real estate company has with its tenants over the course of a year. Expressions of interest, screenings, move-in information, bug reports, contract issues, operational disruptions, relocation and more.

Each phase of the accommodation journey generates interactions that follow distinct patterns. This is why agentic AI is so relevant to real estate. The industry has exactly the kind of repetitive, pattern-based and documented interactions where AI agents can make the most difference.

The prerequisites already exist

A common misconception I often hear is that agentic AI requires a large IT project. In reality, many real estate companies already have good conditions and a lot of the materials needed to get started.

Many of the real estate systems have ready-made APIs, the necessary knowledge is documented and processes are often well known internally. That's basically what an AI agent needs. Access to the right system, relevant knowledge and clear rules on when to act and when to hand it over to a human.

Collecting this and making it available to an agent is not the massive infrastructure project that many seem to think. Rather, it's about connecting what already exists.

A shift that is already underway

This is not a vision for 2030. There are already real estate companies in the Nordic countries that have AI agents in operation. They manage tenant contacts, create cases and act in systems without human intervention. Avy customers who have implemented our AI agent Davy have already seen good results linked to reduced case volumes and faster processing times. And that's just the first area of application in agentic AI.

In the next part, we`ll go deeper into what an AI agent actually needs to know in order to act in the real estate industry and why context is more important than model.

If you have any questions, please feel free to contact me.

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Oskar Lindström, Senior Account Executive, Avy

oskar.lindstrom@avy.se