Documentation
Generating the AI-Powered Feasibility Study
Once you complete all components in either the Operational or Sale Stream, FeasiBuild's AI engine synthesizes your inputs, financial results, and market research into a comprehensive, institutional-grade feasibility study ready for investor presentations and lender submissions.
What's Included in the Study
The AI-powered feasibility study is not a generic template—it's a customized, narrative-driven report that tells the story of your specific project with data-backed analysis and professional commentary.
📊 Executive Summary
- • Project overview and key highlights
- • Total Development Cost (TDC) breakdown
- • Key return metrics (IRR, Equity Multiple)
- • Investment recommendation summary
📍 Market Analysis
- • Location and submarket overview
- • Supply and demand dynamics
- • Competitive landscape analysis
- • Market positioning and target demographics
- • Data Centre Specifics: Power capacity demand, latency requirements, connectivity infrastructure
- • Warehouse Specifics: Logistics demand, proximity to transport hubs, last-mile delivery trends
🏗️ Development Program
- • Building configuration and specifications
- • Unit mix and area schedules
- • Construction timeline and phasing
- • Key milestones and deliverables
- • Data Centre Specifics: IT load capacity, PUE targets, power infrastructure, cooling systems
- • Warehouse Specifics: Clear height, loading dock count, floor loading capacity, specialized storage areas
💰 Financial Analysis
- • Detailed cost breakdown (land, construction, soft costs)
- • Revenue projections and absorption schedules
- • Financing structure and debt sizing
- • Cash flow projections and funding gap analysis
📈 Returns & Performance
- • Unlevered and levered IRR analysis
- • Equity multiple and payback period
- • Sensitivity analysis and scenario testing
- • Benchmark comparisons
⚠️ Risk Assessment
- • Market risk analysis
- • Construction and cost overrun risks
- • Sales/absorption risk
- • Mitigation strategies and contingencies
How the AI Generates the Study
The AI doesn't just plug numbers into a template—it synthesizes multiple data sources to create contextual, project-specific narrative content.
Step 1: Data Aggregation
The AI collects all your inputs from Components 1-6: location, asset type, building specs, cost assumptions, revenue projections, financing structure, and scenario analysis results.
Step 2: Fixed Parameter Framework
Based on your asset type (e.g., Hotel, Residential High-Rise, Retail Mall), the AI knows exactly which sections and topics need to be covered. Each asset type has a pre-defined study structure optimized for that specific development type.
Step 3: Dynamic Content Generation
The AI writes narrative commentary by combining:
- Your specific inputs (e.g., "30-month construction period for a 12-floor tower")
- Financial results (e.g., "The project achieves a levered Equity IRR of 23.95%")
- Market context (e.g., "Dubai's high-rise residential market shows strong fundamentals")
- Industry benchmarks (e.g., "Construction costs of AED 400/sqft are in line with Grade A developments")
Step 4: Visual Integration
The AI automatically generates and embeds charts, graphs, and tables from your financial model:
- Cash flow projection charts
- Capital stack visualizations
- Sensitivity analysis tornado charts
- Monthly cash flow tables
Export & Distribution Options
Once generated, your feasibility study can be exported in multiple formats for different audiences and use cases.
PDF Report
Full feasibility study in professional PDF format, ready for email distribution or printing. Includes all sections, charts, and financial tables.
PowerPoint Deck
Executive summary slides optimized for investor presentations. Key metrics, charts, and recommendations in a visually compelling format.
Excel Model
The underlying financial model with all calculations, assumptions, and cash flow projections in a transparent, auditable spreadsheet format.
Sample Output Pages
Here's what you can expect from the AI-generated feasibility study:
Executive Summary Page
Project: Residential High-Rise Development - Dubai Marina
Investment Highlights:
- Total Development Cost: AED 157.4M with projected GDV of AED 180.7M
- Levered Equity IRR of 23.95% significantly exceeds the 15% hurdle rate
- Equity multiple of 1.36x with payback achieved by Month 35
- Peak funding gap of AED 76.8M efficiently structured with 65% LTC financing
[AI-generated narrative continues with market context and recommendations...]
Financial Summary Table
| Metric | Value |
|---|---|
| Total Development Cost | AED 157,442,609 |
| Net Sales Proceeds | AED 164,262,047 |
| Net Surplus | AED 6,819,438 |
| Unlevered Project IRR | 4.63% |
| Levered Equity IRR | 23.95% |
Tips for Best Results
Complete All Components First
The AI needs complete data from all 6 components to generate a comprehensive study. Don't skip steps—even optional fields like preference shares improve the accuracy of the financing narrative.
Review Scenario Analysis
Run the Scenario Analysis (Component 6) before generating the study. The AI will incorporate your downside and upside cases into the risk assessment section.
Customize Key Assumptions
While AI provides excellent defaults, manually reviewing and adjusting key assumptions (sales price, construction costs, financing terms) ensures the study reflects your specific project vision.
Export in Multiple Formats
Use PDF for formal submissions to lenders/investors, PowerPoint for presentations, and Excel for detailed due diligence requests. Each format serves a different purpose.