A deep view of data
The property industry has always valued data. From suburb performance to median price growth, investor insights, and more. Buyers and sellers look at the numbers to gain an understanding of the performance of their biggest asset. AI tools now have the capability to not only read a complex dataset, but they can also write the code to visualise, analyse and then interpret the data for property seekers and sellers in minutes.
Examples of these sophisticated AI-modelling tools in practice are technologies that generate the estimated value of a home, based on comparable sales, local trends, and property data, available through the major property portals in Australia. Whilst no amount of technology can replace the nuanced knowledge of a local property expert, having access to an estimated price range can provide empowering clarity for sellers.
Client interactions and engagement
AI provides the opportunity to improve client interactions in a multitude of ways. From accurate property matching based on consumer behaviour, to conversational search for property seekers, to a hyper-personalised two-way conversation about a property for sale at any time of the day. AI in the property industry is at the forefront of client interaction technology, ultimately benefiting buyers and sellers on their journey.
One specific example at Jellis Craig is our use of a chatbot-style feature that reads information such as a property floorplan, local amenities, photos, and more, and is then able to digest and interpret the information to provide property seekers with timely, accurate, and informative responses to their enquiries, 24/7 in over 58 languages.
Frictionless legal and compliance services
Regulatory requirements are becoming more complex in the property industry, placing greater operational demands on real estate firms. According to entrepreneur and “The AI Guy” Seth Watts, source-grounded AI can help address this challenge.
AI is helping remove the friction of legal sale documents by accelerating contract reviews, surfacing key legal risks and enabling faster, more informed decision-making.
Within an AI-enabled workflow, contracts move through a structured process. The system reads the document, extracts key terms, identifies risks and presents the matter to a lawyer for review, saving time while ensuring issues requiring human judgement receive appropriate attention.
By incorporating AI systems, buyers can act more quickly, access advice more easily and make better-informed decisions — a shift that benefits everyone involved in the transaction.
Underlining our findings was this:
Companies that are built around the customer will deliver more value by uniting AI with a humanistic approach.
What’s next?
Most AI use today is still assistant-based. You ask a question; it helps with a task. The next shift is AI as an agent: software that runs on a schedule, watches a part of the business, and acts or alerts when something needs attention. This is the real promise of agentic AI: it watches the things you cannot watch all at once, then taps you on the shoulder when it matters.
For the property industry, the use cases for agentic AI are vast. A buyer significantly increases their search behaviour and thus becomes a lead ready for agent interaction; a property management issue keeps recurring and quickly alerts a Property Manager so they can improve an investor or renter’s experience; repetitive tasks are automated, thus saving time. If the right systems are in place, the opportunities for agentic AI are extensive.
By delivering fast, accurate answers directly linked to documents, AI can turn a tedious bottleneck into a seamless, error-free experience.