The agent structures site data, planning constraints, development assumptions and risk signals into early-stage feasibility intelligence for developer review.
The overlay that kills the yield turns up after the offer.
Feasibility relies on scattered documents: Planning controls, constraints and precedents are assembled by hand for every site.
Constraints are missed until after commitment: The overlay that kills the yield turns up after the offer, not before.
Yield assumptions are hard to compare: Every study frames its numbers differently, so sites can't be compared honestly.
Early decisions outrun the evidence: Capital moves while the feasibility picture is still being assembled.
Reports take days to assemble: The write-up consumes the analyst time the analysis needed.
Trigger → structure → draft → your confirmation.
Trigger: A site address, parcel or acquisition question enters the pipeline.
Structure: The agent structures constraints, planning considerations and market assumptions for the site.
Draft: It prepares a feasibility summary, risk checklist and assumption register.
Confirm: Your analyst or development manager reviews, adjusts and owns the recommendation.
A site in. An assumption register out.
What the agent reads: What is knowable about a site before anyone commits capital to it. (Site address and parcel data; Planning controls and zoning; Constraints and overlays; Market assumptions and evidence; Previous feasibility models)
What the agent produces: A summary your development manager can argue with, because the assumptions are on the page. (Feasibility summary, drafted; Constraint table and risk checklist; Assumption register; Items needing expert review; Developer decision pack inputs)
It stands on a system issuing reports commercially today.
The agent extends our feasibility intelligence system, in production and operated by Cyberate Project Management, with reports issued through cyberatepm.com.au. The same discipline, applied earlier and faster.
In shadow mode it runs against sites you have already assessed, so you can see exactly where its assumptions differ from yours.
How options are compared against the baseline, and how the valuation is triangulated: land value, build value and a combined model, each publishing its own correlation. The reliability figures are shown rather than hidden. Dollar figures are rounded illustrative values.
What is the Cyberate Feasibility Intelligence Agent?
The Cyberate Feasibility Intelligence Agent is a construction AI agent that structures site, planning and market constraints into early-stage development intelligence: constraint tables, assumption registers and site summaries prepared for human review.
Is this a valuation?
No. Outputs are modelled strategic analysis with assumptions and limitations disclosed, prepared for human review, never a valuation or financial advice.
Can it assess any site?
Coverage follows the underlying system's data coverage. What can't be verified is flagged, not guessed.
Who reviews the output?
Your analyst, development manager or the Cyberate PM team, depending on the engagement. Commitment decisions always sit with people.
How is this different from the feasibility reports?
Same discipline, different speed and depth: the agent structures early-stage screening; the full report remains the deep instrument.