Industry
Property managers, developers, brokers and housing associations: tenant service, leasing and property operations.
8 organizations in 3 countries run these use cases in public.
An AI agent that answers rental prospects and residents by chat, text, email and phone for a property manager: it answers questions about apartments and policies, books tours, takes maintenance requests, sends renewal and payment reminders, and hands anything that needs judgment to leasing or service staff.
A conversational agent that finds the nearest suitable location, checks opening hours and which services it offers, books an in person or video appointment with the right specialist, and records the reason for the visit so staff are prepared. In banking it answers "where is my nearest branch" and books the mortgage or business banker; the same job exists in retail, healthcare and property.
AI that continuously predicts a building's heating, cooling and ventilation needs and adjusts setpoints, equipment sequencing and start times in real time through the existing building management system, instead of following fixed schedules, so the building uses less energy without a person retuning it by hand.
A customer facing assistant that answers home loan questions (rates, loan to value, fees, the documents needed), runs indicative affordability and borrowing estimates from the bank's published rules, and books the customer with a mortgage specialist, grounded in the bank's current, versioned product and policy documents.
AI that reads a commercial lease, amendment or letter of intent and extracts the key terms, such as parties, dates, rent, escalations, options and renewal notices, into structured data, so a property owner, occupier or brokerage does not retype every clause by hand into its lease administration and portfolio systems.
AI, most often an automated valuation model, that estimates a property's market value from comparable sales, property characteristics and location data, and either offers to replace a full appraisal within set limits or gives a professional valuer a first pass estimate, the closest comparable sales and a reliability score, so the valuer's time goes to the properties that need a person's judgment.
Free PDF playbook
6 use cases with deployments, value, playbooks and governance, in one document for your team.
Computed from the 8 public deployments behind these use cases at real estate organizations. Numbers update with every checked record.
Asset Living, AvalonBay Communities, Cammeby's International, Cushman & Wakefield, Equity Residential, JLL (Jones Lang LaSalle), Loft, MOGUL.sg.
9 public deployments at 9 organizations outside real estate run these use cases too. They are not counted in the numbers above; each use case page shows them.
