01 · High-priority investigation
NW OKC · Retail candidate 04
Long tenure, recent suite-level change, and a clean internal relationship path.4 sourcesCRM contextNeeds call
Commercial real estate AI demo · 75-second story
Watch the work assemble.
One broker question moves through market intelligence, property and ownership research, CRM context, prepared action, and a visible human stop. The workflow below is illustrative; it is not a live query or a claim that every component is deployed.
HALPrivate copilot · Mission viewIllustrative workflow
A broker asksFind privately held retail properties in NW Oklahoma City where ownership tenure is long, tenant activity is changing, and there is no trustworthy evidence of active marketing. Give me five worth investigating.
Resolving property · ownership · market · relationship context5 candidates
02 · High-priority investigation
NW OKC · Retail candidate 11
Ownership is resolved. Public marketing status is uncertain and explicitly labeled.3 sources19-year holdResearch first
Why this surfaced · receipts
OwnershipCounty + entity record
Tenant changePublisher evidence · dated
RelationshipCRM · permission checked
Guided demo transcript
A commercial real estate AI workflow, in plain English.
A broker asks HAL to identify privately held retail properties worth investigating. The AI copilot clarifies geography and exclusions, assembles dated property, ownership, public-marketing, and permitted CRM evidence, ranks candidates, preserves rejected alternatives, and explains why each property surfaced. HAL then prepares a sourced property brief and broker-only call plan. It does not contact the owner: the licensed broker reviews the evidence, decides whether the opportunity is real, and makes the call.
The six beats
One instruction. One governed mission.
Clarify the objective
HAL resolves the asset class, geography, exclusions, output, and authority before the work starts.
Assemble the evidence
Property, ownership, public marketing, and relationship sources stay distinct and dated.
Rank—and explain
Each candidate carries the reason it surfaced, confidence, and what remains unknown.
Inspect the rejects
Alternatives that fail a hard constraint remain visible so the search does not quietly repeat itself.
Prepare the moment
The result becomes a brief, open questions, and a broker-only call plan—not another dashboard to interpret.
Stop at authority
No call, email, external invitation, term, or commitment occurs without the broker.
What this demo proves
The output has to survive inspection.
The point is not that HAL can produce a plausible answer. The point is that a broker can see the evidence, the limits, the rejected alternatives, the recommended action, and the exact boundary where judgment resumes.
Inspect the human-gated AI trust model →PRIVATE BROKER BETA
Give HAL a job that matters.
Tell us the recurring broker assignment you wish one system could carry from evidence to prepared decision.