Spot promising real estate deals automatically every day

Analyzes listings, records, and demographics daily, then alerts your team by email and Slack about strong deals.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(["daily property market scan"]):::trigtime s0["gather listings records and demographics"]:::svc s1["consolidate into property dataset"]:::task s2["ai evaluates investment potential"]:::task s3["check against investment thresholds"]:::task s4["alert team by email and slack"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"list of qualifying investment properties"/]:::out pay{{"faster deal identification across markets"}}:::pay s4 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsEmail AutomationMessaging & NotificationsReal Estate & Property
Connects
GmailSlackOpenAI

The problem it solves

You want to catch good property deals early, but manually cross-referencing listings, public records, and demographic data across markets takes far more time than any team has. By the time you spot a pattern, someone else may have already moved.

Who it fits

Real estate investors and property acquisition firms sourcing deals across multiple markets.

How it works

  1. Every day, the system gathers MLS listings, public property records, and demographic data
  2. It consolidates everything into one dataset per property
  3. AI evaluates each property's investment potential, including projected ROI and risk
  4. It checks results against your investment thresholds
  5. For qualifying properties, it alerts your team by email and Slack
What you get

Strong property deals flagged before competitors see them

You get instant alerts by email and Slack the moment a property matches your investment criteria.

What you get

A daily list of properties that meet your investment criteria, with ROI projections and risk notes, delivered by email and Slack.

What you need

An MLS data provider account, a public records data source, an OpenAI API key, a Gmail account, and a Slack workspace.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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