How Proper Plans reaches a verdict

1. Inputs

You provide the address, asset class and deal assumptions (price, size, costs, target returns). Proper Plans geocodes the address, identifies the jurisdiction and attaches the public datasets above to the study context.

2. Analysts matched to the asset class

Each analyst is an AI module focused on one question: site profile, zoning, highest & best use, land conditions, market, construction cost, bid leveling, pro forma, and specialists for retail, industrial, mixed-use and data centers. A Raw Land study runs 7 of them; a Master Planned Community runs 13. Each works from your inputs plus the attached data and produces findings and a score.

3. Risk register and master report

RiskBot scores each risk by likelihood × impact. ReportBot rolls the module outputs into an overall score out of 100, module scores, an executive summary, key risks, an action plan and a verdict: GO, CONDITIONAL GO or NO-GO.

4. Deal underwriting standard

The Deal Desk Tear Sheet underwrites value-add deals on a published standard: 5% vacancy, 35% expense ratio, 75% LTV at 7.5% on a 30-year amortization, in Conservative, Base and Aggressive scenarios. Verdicts are keyed to cash-on-cash, DSCR and cap rate, and it flags capex above 40% of purchase price and expense ratios under 20%.

5. Takeoffs

From an uploaded plan PDF, the AI proposes a quantity takeoff. Nothing is saved as final until a person reviews and accepts it.

6. Limitations

AI models can make mistakes. Public datasets can be incomplete, outdated or mapped at a coarse resolution, and local zoning codes change. Proper Plans is a screening tool — confirm every material finding with the jurisdiction and with licensed professionals. See our Disclaimer.