AI Leasing Agent for Commercial Real Estate

• A large vacant warehouse generates a steady drip of repetitive questions: square footage, clear height, dock doors, power, zoning, the NNN rate
• Every inquiry answered late is a prospective tenant who moved on to the next listing
• The owner's team is three people, and none of them wanted to be a full-time switchboard

A dedicated single-property marketing site with an embedded AI leasing agent trained on the property's actual spec sheet, pricing rules, and leasing FAQ.

• Answers tenant questions instantly from the real documents: specs, rates, zoning, availability
• Recognizes whether the visitor has a question, a tour request, or an LOI conversation, and qualifies accordingly
• Captures contact details mid-conversation and routes every qualified lead to the listing broker's inbox the moment it happens
• The knowledge base lives in version-controlled documents the owner's team edits directly, so a rate change updates the agent without a developer

A dedicated, isolated stack for the client: their own automation instance and their own database, with signed webhooks between components and no credentials shared with any other system. The same pipeline is being extended with a lead-pipeline dashboard and automated NNN billing through QuickBooks Online.

• Every inquiry gets an accurate answer immediately, around the clock, from the property's own documents
• Qualified leads reach the broker with contact details and conversation context attached, not a bare form fill
• The owner's team updates pricing and FAQs by editing a document, not by calling a developer