AI & automation for real estate teams
Field notes from running these engagements: how to size a first pilot, how to measure it against a baseline you can defend, and what separates a working system from a good demo.
These are general practice guides for operations leaders, not brokerage playbooks. The arithmetic is the same whether the loop is listing prep or claims intake. The real-estate specifics come out of the assessment.
Readiness
Before you run a pilot, you need to know if your data, workflows, and team are in a position to make one succeed. This checklist covers the 7 dimensions we assess in every Readiness Assessment, so you can run a self-evaluation before any conversation with a vendor.
8 min readRead →
Measurement
The CFO wants numbers. The problem is most AI pilots don't produce them. This guide explains how to build a pre-flight ROI model from three inputs: current workflow cost, expected automation rate, and quality acceptance bar, and why the third input is the one most vendors skip.
10 min readRead →
Methodology
A demo can look impressive. An eval dataset tells you whether the system actually works on your data, in your domain, at your quality bar. This guide explains how to build one before you write a line of code, and why we author ours on day one of every engagement.
7 min readRead →
Buying guide
Most AI pilots fail because the right questions weren't asked before the contract was signed. Scope, data access, acceptance criteria, human-in-the-loop requirements, rollback plan: these are the 12 questions that separate a pilot that ships measurable results from one that produces a demo.
9 min readRead →
Technical guide
Most teams reach for fine-tuning when retrieval-augmented generation would cost less, be easier to update, and produce more auditable outputs. This guide explains the real tradeoffs (latency, cost, data requirements, and update cadence) with a decision matrix for professional services use cases.
12 min readRead →
Governance
Before your AI system touches a client file, a financial record, or a regulated workflow, there are 15 governance questions you need to answer: data flow, model allowlists, prompt versioning, audit logs, human-in-the-loop gates, and breach-notification posture. This checklist walks through each one.
11 min readRead →
AI & automation for real estate teams