Augmented real estate decision-making
From simulation to decision, with no grey areas
AI & Coach turns your data (simulations, taxes, market, risks) into explanations, executive summaries and recommended actions, tailored to your strategy (cashflow, BRRR, appreciation, flip).
Goal: reduce uncertainty, standardize your analyses, and make your decisions justifiable (for you, your team, your partners, your clients).
Illustration recommandée
Visual workflow: simulation → AI summary → recommendation → action plan.
Modules IA
Capacités clés
Each capability addresses a concrete need: understand, justify, optimize, decide, negotiate. (UX ready — AI wiring later.)
Résumés intelligents
Executive summary of a simulation: key figures, diagnostics, dominant risks, and conclusion.
- “1-minute” summary (cashflow, cap rate, robustness)
- Strengths / weaknesses
- Export PDF
Explanations (clarification)
Plain-language translation: what each indicator means, and what to watch.
- “Why is the cashflow negative?”
- “Which parameters dominate the risk?”
- Glossary & examples
Recommandations d’action
Concrete actions: offer conditions, price thresholds, red flags, due diligence priorities.
- “Max price” threshold by objective
- Due diligence checklist
- Numbers to argue with
Optimizations
Improvement levers: financing, rents, expenses, repairs, horizon, refinancing strategy.
- “3 highest-impact actions”
- Before / after comparison
- Optimization plan
Assumptions generator
Helps complete coherent assumptions (vacancy, maintenance, expenses) by city/asset type.
- Quebec default assumptions
- Anomaly checks
- Why these values
Coach (Chat IA)
Decision-oriented Q&A: “is this a good buy for me?”, “what risk dominates?”, “what to negotiate?”.
- Guided questions
- Structured answers
- History by project
Parcours recommandé
Run a simulation, generate a summary, then use the AI Coach to decide and prepare the negotiation.