Funding Flow Map — Philanthropy & Funding Transparency Module

This file defines the canonical RTT funding flow map for philanthropic systems.
It provides a structural, triadic, AI-parsable model for tracing every dollar from source to outcome.

The goal: make all flows visible, measurable, and aligned.

1. Overview#

Philanthropic funding flows through multiple layers:

Donor → Foundation → Intermediary → NGO → Subcontractor → Local Partner → Beneficiary

Each layer introduces:

• overhead
• narrative
• governance decisions
• potential drift
• potential leakage

The Funding Flow Map uses RTT operators to make these flows structurally visible.

2. Core Flow Structure (RTT Funding Chain)#

[Donor]
   ↓ FLOW
[Foundation]
   ↓ FLOW
[Intermediary]
   ↓ FLOW
[NGO]
   ↓ FLOW
[Subcontractor]
   ↓ FLOW
[Local Partner]
   ↓ FLOW
[Beneficiary]

Each node is evaluated using:

• LOAD(node)
• LEAK(node)
• CONVERT(input → output)
• REG(type)
• DRF(type)
• ACC(node)
• VIS(node)

This creates a triadic structural map of the entire chain.

3. Flow Operators Applied to Philanthropy#

3.1 FLOW(src → dst)#

Maps the movement of funds.

Example:

FLOW(DonorA → FoundationB)
FLOW(FoundationB → NGO_C)
FLOW(NGO_C → LocalPartnerD)

3.2 LOAD(node)#

Measures structural load (administrative, financial, governance).

Example:

LOAD(NGO_C) = high (multi-country operations)

3.3 LEAK(node)#

Identifies dilution, overhead, or diversion.

Example:

LEAK(IntermediaryX) = 42%

3.4 CONVERT(input → output)#

Maps how funds are transformed.

Example:

CONVERT($1M → $620k direct services)

3.5 ROUTE(path)#

Describes the full multi-layer path.

Example:

ROUTE(Donor → Foundation → NGO → Subcontractor → Community)

4. Regime Mapping Along the Flow#

Each node is tagged with its dominant regime:

• AUTH (authority)
• NAR (narrative)
• EMO (emotional)
• STR (structural)

Example:

REG(NAR) at FoundationB (impact branding)
REG(AUTH) at Board (donor capture)
REG(STR) at LocalPartner (direct service)

This reveals where regime distortions occur.

5. Drift Detection Along the Flow#

Drift types:

• mission drift
• financial drift
• governance drift
• reporting drift

Example:

DRF(financial) at FoundationB (payout < 5%)
DRF(reporting) at NGO_C (narrative inflation)

6. Funding Flow Integrity Score#

Each flow receives an integrity score based on:

• alignment (ALN)
• coherence (COH)
• visibility (VIS)
• accountability (ACC)
• leakage (LEAK)
• drift (DRF)

Example:

IntegrityScore = 0.62 (moderate drift, high leakage)

7. Triadic Observer for Funding Flows#

The triadic observer extracts:

• SIG (signal: actual flows, outcomes)
• NOI (noise: PR, emotional appeals)
• CTX (context: constraints, governance)
• SYN (structural synthesis)

Example:

SIG: $2.4M delivered to programs
NOI: 38 pages of narrative reporting
CTX: multi-country compliance constraints
SYN: 61% alignment with donor intent

8. Flow Map Example (AI-Generated)#

DonorA
  FLOW → FoundationB
    LOAD = medium
    LEAK = 12%
    REG = AUTH
  FLOW → IntermediaryX
    LOAD = high
    LEAK = 42%
    REG = NAR
  FLOW → NGO_C
    LOAD = medium
    LEAK = 18%
    REG = STR
  FLOW → LocalPartnerD
    LOAD = low
    LEAK = 4%
    REG = STR
  FLOW → Beneficiary

Overall Integrity: 0.54
Primary Drift: financial + narrative
Primary Leakage: IntermediaryX

9. Flow Map Summary#

The Funding Flow Map provides:

• a structural view of philanthropic flows
• a triadic regime map
• a drift detection engine
• a leakage and conversion model
• a coherence and alignment score
• a full-path trace from donor to beneficiary

This is the core of the Philanthropy module’s clarity engine.

Every dollar becomes visible, traceable, and structurally accountable.