Owners, operators, brokerages, developers

AI for Real Estate

Lease abstraction, diligence review and tenant communication for owners, operators, brokerages and developers, with fair housing law observed.

Real estate runs on documents that repeat with variations: leases, estoppels, rent rolls, listings. AI reads them quickly and fills the fields the team tracks. The engagement is explicit that no tool scores an applicant, and that line is written into the policy before the first pilot starts.

Where the hours go

Work that AI can carry.

  1. 01
    Lease abstraction

    Key terms, dates, options and obligations pulled from each lease into the fields the asset manager tracks.

  2. 02
    Diligence document review

    Title, survey, estoppels and service contracts read for the exceptions the acquisition team has asked about.

  3. 03
    Tenant and prospect communication

    Inquiries, renewals and notices drafted for the property team to review and send.

  4. 04
    Underwriting data entry

    Rent rolls and operating statements read into the underwriting model with the anomalies flagged.

  5. 05
    Property management ticket triage

    Maintenance requests sorted by urgency and trade and routed to the right vendor.

  6. 06
    Listing copy

    Property descriptions drafted from the facts on file for the broker to edit.

What has to hold

The rules an engagement respects.

  • Fair housing law

    AI never makes a tenant or buyer decision, and nothing in the engagement scores or ranks a person.

  • Lease confidentiality

    Tenant terms are confidential to the tenant, and a tool that reads leases needs the same handling as the file room.

  • MLS data terms

    Listing data has licensing rules that restrict what may be copied, stored or generated from it.

How an engagement runs here

The four steps, as they run in real estate.

  1. 01 Assess

    The assessment maps the lease files, the property management system and the deal pipeline, and finds where abstraction and data entry hours concentrate.

    AI Readiness Assessment
  2. 02 Plan

    The roadmap picks a document workflow such as lease abstraction, where the measure is hours per lease and no applicant is involved.

    Strategy and Roadmap
  3. 03 Build

    The build connects to the document store and the underwriting model, with every output reviewed before it changes a record.

    Implementation
  4. 04 Train

    Training covers asset management, property teams and brokers separately, and the policy states in plain terms where AI stops.

    Training and Change Management

Start with the assessment.

An inventory of your systems, data and rules, interviews with your department leads, and a report that says what to do first in real estate.