A keynote on artificial intelligence built for real estate: estate agencies, property developers, networks and property managers. Romain Rissoan demonstrates, with real-world examples, how AI is transforming valuations, prospecting, property listings and client relations.
The property market is undergoing a deep structural shift: pressure on margins and commissions, fully digital buying journeys, competition from platforms and low-fee models, and growing demands from both vendors and buyers. In this context, estate agencies, developers and networks are looking for tangible levers to improve efficiency without losing the human relationship that defines their value. Artificial intelligence is one such lever — provided you understand precisely where it creates value and where it is merely a passing trend.
That is exactly what this AI keynote for real estate addresses. Romain Rissoan shows, with real examples, how property professionals are already using artificial intelligence in their day-to-day work: AI-assisted valuations cross-referencing market data, optimised listings generated in seconds, automatic qualification of vendor leads, co-pilots to prepare viewings and mandates, and conversational assistants for client relations. Every use case is grounded in the reality of an agency, a network or a new-build programme, with its measurable gains and its limitations.
The tone is deliberately practical and jargon-free, calibrated for both network directors and branch managers as well as frontline negotiators. The goal is not to impress with technology, but to give everyone a clear picture of what they can implement from the very next day — and to address legitimate concerns about the role of the human touch in a profession built on trust and advice.
The use cases illustrated in the keynote, adaptable to your audience.
Artificial intelligence sharpens property valuations by instantly cross-referencing market data, comparable transaction histories, precise property characteristics and local trends. The negotiator retains final say on the asking price, but gains in speed, in the strength of the argument presented to the vendor and in reliability — a decisive advantage when securing a mandate.
Writing a compelling, comprehensive listing adapted to every distribution channel used to take considerable time; generative AI does it in seconds from the property’s key features. Attention-grabbing headlines, persuasive descriptions, variants for portals, social media or the window display: teams publish faster and more consistently, while retaining the final human touch.
By analysing market signals and behavioural data, AI helps identify potential vendors and prioritise the warmest contacts. Rather than treating all leads the same way, negotiators focus their energy where the probability of a mandate is highest, and automate initial follow-ups without neglecting anyone.
An AI co-pilot prepares viewings, pre-fills documents, suggests personalised follow-ups and summarises a case file in an instant. The negotiator reclaims valuable time from administrative and repetitive tasks and reinvests it where the real difference is made: the meeting, the negotiation and the advice.
Conversational assistants respond instantly to routine enquiries, qualify buying or selling projects and route clients to the right contact, around the clock. The buyer journey becomes smoother, the agency stays responsive even outside office hours, and teams concentrate on high-value interactions.
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