PropPie Fractional — As-Built Context¶
Status: This is a structured placeholder. Aishvarya or Vishal should fill in the details so future agent sessions and new team members have full context on the existing live product.
1. Product overview¶
| Field | Value (fill in) |
|---|---|
| Live URL | https://proppie.in/ |
| Launch date | |
| Current AUM (₹ Cr) | |
| Number of active assets / SPVs | |
| Number of investors | |
| Minimum ticket size | |
| Maximum ticket size | |
| Geographic focus | |
| Asset types (commercial office, retail, warehousing, etc.) |
2. Regulatory structure¶
| Field | Value (fill in) |
|---|---|
| Legal structure per asset (SPV, AIF, SM-REIT, other) | |
| SM-REIT registration status | |
| Any scheme > ₹50 Cr? | |
| Any scheme with > 200 investors? | |
| SEBI correspondence / compliance status | |
| Custodian / trustee (if SM-REIT) | |
| Compliance officer designated? |
Urgent: Post March 2024 SEBI SM-REIT framework, pooled commercial RE above certain thresholds needs SM-REIT registration. Verify status for each scheme. See ../10-strategy/compliance-and-legal.md.
3. Tech stack¶
| Component | Technology (fill in) |
|---|---|
| Frontend (web) | |
| Mobile app (if any) | |
| Backend | |
| Database | |
| Auth / KYC | |
| Payment gateway | |
| Hosting / cloud | |
| CI/CD | |
| Monitoring |
4. Data model (simplified)¶
Describe the core entities and relationships:
- Asset — a single commercial property listed for fractional investment
- SPV — the legal vehicle holding the asset
- Investor — a registered user who has invested
- Investment — an investor's stake in an SPV
- Distribution — a payout to investors (rent, sale proceeds)
- Secondary trade — a transfer of units between investors
Fill in the key fields per entity, or point to the existing schema / ERD.
5. Current data available internally¶
| Data type | Available? | Format | Notes |
|---|---|---|---|
| Asset master data (address, area, tenant, lease terms) | |||
| SPV structure and waterfall | |||
| Investor KYC records | PII — DPDP-governed | ||
| Investment ledger | |||
| Distribution history | Gold-standard realised yield | ||
| Vacancy / occupancy history | |||
| Secondary market trades | |||
| Asset documents (lease, title, valuation) | |||
| Website analytics |
6. AI integration points needed¶
Where the new AI layer will plug in:
| AI feature | Integration point | Notes |
|---|---|---|
| AI asset summary | Asset detail page — new section | Read-only access to asset + tenant + lease + location data |
| Risk score overlay | Asset card — badge | Computed score per derived-attributes-spec |
| Portfolio fit indicator | User dashboard | Requires investor persona (with consent) |
| Document Q&A | Asset detail page — chat widget | RAG over asset documents |
| Distribution forecast | Asset detail page — chart | Monte Carlo simulation |
| Comparable set | Asset detail page — section | From canonical attribute store |
7. Existing user journeys¶
Describe or link to the current user flows:
- Discovery — how users find assets
- Due diligence — what information is shown on asset pages
- Investment — KYC → payment → SPV allocation
- Ongoing — distribution tracking, statements
- Exit — secondary market or asset sale
8. Known limitations / tech debt¶
List anything the current platform struggles with that the AI layer should be aware of:
-¶
-
9. API access for the AI layer¶
| Question | Answer (fill in) |
|---|---|
| Does the Fractional backend expose APIs? | |
| Can the AI layer read asset data via API? | |
| Can the AI layer read (anonymised) investor data? | |
| Are asset documents stored in accessible object storage? | |
| Is there a staging / sandbox environment? |
10. Contacts¶
| Role | Person | Notes |
|---|---|---|
| Platform owner | Who to ask about Fractional tech | |
| Asset curation | Who selects assets | |
| Investor relations | Who handles investor comms | |
| Legal / compliance | Who handles regulatory |
Next steps: Fill in the above, then the AI architecture team can design the integration layer. See ../40-ai-architecture/ai-system-overview.md for the planned AI system.