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Investment recommendations

Decision support

Decide what to do, not just what to think

This module turns your numbers into structured decisions: accept, decline, negotiate or optimize. The recommendations are justified by your data (cashflow, cap rate, risks, scenarios).


Decision
Yes / No / Yes if…
position claire
Justification
Thresholds & numbers
pas d’intuition
Risque
Facteur dominant
to watch
Action
Next step
prioritized
Key principle
An AI recommendation is never vague: it always carries a numeric thresholdand aconcrete action.

Types of generated recommendations

The AI acts like a structured investment committee.

Decision & thresholds

Definition of clear thresholds: minimum cashflow, target cap rate, DSCR, robustness.

  • Recommended maximum price
  • Cashflow cible
  • Safety margin
Main risks

Identification of weak points in the project.

  • Rate sensitivity
  • Underestimating expenses
  • Structural vacancy
Plan d’action

Actions ranked by short-term impact.

  • Price negotiation
  • Financing optimization
  • Adjusting assumptions
Alternatives

Comparison with other scenarios or properties.

  • Different down payment
  • Alternative horizon
  • Another opportunity

Sample output (standard format)

All recommendations follow this format, to be readable and comparable.

Decision
“Yes, if the price is ≤ $485,000”
Justification
Cashflow neutral at +1 %, cap rate aligned with the neighborhood, robustness 74/100.
Main risks
Rate sensitivity + dependence on rent growth.
Next step
Check municipal taxes + request proof of rental income.

What is it for?

Replace intuition with a structured decision, explainable to a partner, broker, or institution.

Each recommendation can be archived, exported, and compared over time.

Compare opportunities

Ready for a clear recommendation?

Run a simulation, then let the AI structure the decision and the action plan.