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🧠 DecisionSphere AI

A Multi-Agent AI Executive Council for High-Stakes Decision Making.

Status Built With License

🌐 Live Demo

Application:
https://decisionsphere-ai-386579652777.asia-southeast1.run.app/


📖 Overview

DecisionSphere AI is a multi-agent decision intelligence platform that simulates an executive council of specialized AI agents.

Instead of relying on a single AI response, multiple expert agents independently analyze a strategic problem, debate assumptions, validate evidence, assess risks, challenge conclusions, and finally produce a unified executive recommendation.

The goal is to improve transparency, robustness, and confidence in complex business and strategic decisions.


✨ Features

  • 🤖 Multi-Agent AI Council
  • 📊 Executive Decision Reports
  • 🔍 Independent Evidence Verification
  • 🛡️ Red Team Challenge Analysis
  • ⚠️ Risk Assessment
  • 📈 Confidence Scoring
  • 🗳️ Final Council Voting
  • 📑 Downloadable Executive Report
  • 💻 Modern Interactive Dashboard
  • 🔒 Built-in Security Validation

🏛️ AI Council Members

The council consists of specialized AI agents:

  • Research Agent
  • Finance Agent
  • Risk Analyst
  • Domain Expert
  • Evidence Verification Agent
  • Red Team Agent
  • Consensus Agent

Each agent contributes an independent perspective before the council reaches a final recommendation.


🔄 Decision Workflow

  1. User submits a strategic decision.
  2. AI Council convenes.
  3. Research Agent gathers evidence.
  4. Finance Agent evaluates ROI and feasibility.
  5. Risk Agent identifies operational risks.
  6. Domain Expert provides subject expertise.
  7. Evidence Verification validates supporting claims.
  8. Red Team challenges assumptions.
  9. Consensus Agent combines all viewpoints.
  10. Executive Report is generated.

📊 Example Decision

Should our B2B SaaS startup expand into Singapore or Indonesia first with an $8M expansion budget?

DecisionSphere AI evaluates:

  • Market Size
  • Operating Costs
  • Hiring Availability
  • Competition
  • Regulatory Environment
  • Expected ROI
  • Strategic Value
  • Geopolitical Stability

before generating a final executive recommendation.


🛠️ Tech Stack

Frontend

  • React
  • TypeScript
  • Vite

AI

  • Google AI Studio
  • Gemini

Deployment

  • Google Cloud Run

🚀 Running Locally

Clone the repository

git clone https://github.com/Arka-Kanji/DecisionSphere-AI

Install dependencies

npm install

Run development server

npm run dev

Build

npm run build

📁 Project Structure

src/
 ├── components/
 ├── pages/
 ├── hooks/
 ├── services/
 ├── assets/
 └── App.tsx

🎯 Future Improvements

  • Real-time web evidence retrieval
  • Custom AI agent creation
  • Industry-specific councils
  • PDF report export
  • Historical decision archive
  • Team collaboration
  • Multi-language support
  • API integrations

💡 Motivation

Complex strategic decisions often require expertise from multiple domains.

DecisionSphere AI demonstrates how a council of specialized AI agents can collaboratively evaluate opportunities, challenge assumptions, quantify uncertainty, and provide transparent executive recommendations instead of relying on a single AI response.


📌 Live Demo

https://decisionsphere-ai-386579652777.asia-southeast1.run.app/


👨‍💻 Author

Built for the Kaggle Vibe Coding Agents Capstone Project.


📄 License

MIT License

About

DecisionSphere AI is a multi-agent executive decision council that brings together specialized AI agents to debate complex business decisions, verify evidence, assess risks, challenge assumptions, and produce a transparent executive recommendation.

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