PRIORITY_ENGINE // AHP-OCI

A structured decision-support framework integrating causal modeling with multi-criteria prioritization.

The Priority Engine is a React-based decision intelligence tool designed for public administrations and mission-driven teams. It synthesizes the Outcome–Cause–Intervention (OCI) causal structure with the Analytic Hierarchy Process (AHP) to prioritize interventions based on mathematical utility.

// Methodology

The system imposes a strict three-tier ontology to ensure traceability:

1. Outcome (Tier I): The singular strategic objective (e.g., "Reduce Rural Depopulation").
2. Drivers (Tier II): Probabilistic causal factors influencing the Outcome.
3. Interventions (Tier III): Discrete operational programs mapped to specific drivers, with optional prerequisite relationships.

Prioritization is calculated using Eigenvector Centrality derived from pairwise comparison matrices (Saaty, 1980). When dependencies exist between interventions, scores are propagated to ensure prerequisites inherit the importance of dependent actions. The final utility score ($S_i$) for an intervention is calculated as:

$$ S_i = Coverage \times Effectiveness \times Feasibility $$

// Features

• Dependency Handling: Define prerequisite relationships between interventions with automatic score propagation to ensure proper prioritization.
• Gemini AI Integration: Automated discovery of causal drivers and strategic interventions using Google's Gemini 2.5 Flash model.
• AHP Computation Engine: Client-side calculation of Eigenvectors, Consistency Ratios (CR), and geometric mean aggregation.
• Interactive Visualization: Force-directed logic graphs using D3.js and priority matrices using Recharts.
• Privacy Focused: API keys are processed client-side; no data is persisted to external servers.

// Tech Stack

• Core: React 19, TypeScript
• Styling: Tailwind CSS
• Math/Logic: Custom AHP implementation (Power Method / Geometric Mean)
• AI: Google GenAI SDK (@google/genai)
• Viz: D3.js, Recharts

// Setup & Installation

1. Clone the repository

   git clone https://github.com/gbrlpzz/OCI-AHP_Priority_Engine.git
   cd OCI-AHP_Priority_Engine

2. Install dependencies

   npm install

3. Environment Configuration Create a .env file in the root directory and add your Google Gemini API key:

   API_KEY=your_google_api_key_here

4. Run the development server

   npm start

// License

Distributed under the MIT License. See LICENSE for more information.

// Credits

Concept & Engineering: Gabriele Pizzi Studio: Opera Incerta Correspondence: [email protected]

Based on the Analytic Hierarchy Process (AHP) methodology by Thomas L. Saaty.

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Copyright © 2025 Gabriele Pizzi // Opera Incerta