Authority Product
Real Estate AI Adoption Report
A practical AI adoption map that separates safe pilots from workflow, data, and human-review gaps.
Authority question
Primary question: Where can real estate operators apply AI safely, and which workflows need human review first?
Product blueprint
What this authority product is for
Decide which AI pilots are mature enough for operator review.
Identify the workflow and data cleanup that should happen before model selection.
Create a human-review checklist for leasing, reporting, investor, or back-office AI use cases.
Current local evidence
Data Coverage Snapshot
These values are computed from current local directory records. They are inputs for a future report, not a finished benchmark methodology.
AI use cases
5
Current local AI use-case records.
Automation prerequisites
5
Workflow records with AI opportunity signals.
AI-ready strategy records
5
Strategy records with AI opportunity fields populated.
Tool dependencies
48
Unique tool signals across seeded ecosystem records.
Readiness gates
What can be trusted today
Directory evidence
local ready4 of 4 source directories have local records.
Metric model
local ready4 local evidence metrics are computed from current records.
Evidence signals
local ready12 distinct signals are available for editorial framing.
Source-backed methodology
needs evidenceVerified AI use-case inventory
Benchmark or publication proof
futureRequires Supabase history, survey/intake data, source evidence, and publication review.
1AI use-case map
2Human review and risk gates
3Data readiness patterns
4Workflow prerequisites
5Pilot shortlist by operator type
Verified AI use-case inventory
Operator adoption survey responses
Risk classification rubric
Example pilot outcomes
Source coverage
Directory lanes feeding this product
Evidence signals