What is an AI back office for real estate?

The work behind a deal repeats: answering new leads, updating clients, launching listings, chasing documents, and checking copy before it goes out. An AI back office gives each of those jobs to an agent that drafts the work and checks it, then hands it to a person.

A CRM keeps the records: contacts, deals, and their history. An AI back office works on those records. In RealtyOS the records and the agents live together, so a draft can use the file it is about.

An assistant or an inside sales service adds people who do the work. An AI back office drafts the work for the people you already have, and nothing goes to a client until one of them approves it.

Each agent is a role a brokerage would otherwise hire for:

• Lead Conversion: ranks leads and drafts follow-ups
• Client Concierge: client updates, next steps, and buyer agreement reminders
• Listing Launch: MLS descriptions, launch plans, and listing website copy
• Transaction Coordinator: deadlines, file checks, and status updates
• Marketing: content and campaigns held for approval
• Compliance Assistant: Fair Housing copy review and file checks
• Market Intelligence: neighborhood facts, CMA notes, and rental numbers
• Revenue Growth Coach: today's focus, weekly reviews, and follow-up gaps

Each run returns a summary, recommended next steps, a draft when the task writes one, a confidence score, whether approval is required and why, the records involved, and an entry for the audit log.