RISK RADAR 360

AI Quick Summary

Risk Radar 360 is an AI-powered strategic early warning system developed for Swiss Federal Railways (SBB). It transforms traditional, reactive risk management into a proactive intelligence model. By collecting data from diverse sources—such as news, social media, and official documents—the system identifies "weak signals" before risks fully materialize. Core Objective: To forecast political, economic, and technological risks affecting SBB's strategy 3-6 weeks in advance. It analyzes potential impacts and provides management with concrete, prioritized action recommendations to turn emerging threats into manageable or preventable situations. Risk Radar 360 combines: - 📡 **Multi-source data collection** (news, social media, official documents) - 🤖 **AI-powered risk analysis** (GPT-4 for sophisticated interpretation) - 🔍 **Weak signal detection** (identifying risks before they materialize) - 📈 **Trend analysis & forecasting** (predicting risk trajectories) - 💡 **Proactive action recommendations** (telling you what to do, not just what's happening) # ✨ Key Features ### 1. Early Warning System - **Weak Signal Detection**: Identifies emerging risks 3-6 weeks before they materialize - **Anomaly Detection**: Volume spikes, sentiment shifts, influencer activity - **Pattern Matching**: Learns from historical events ### 2. Strategic Intelligence - **PESTEL Framework**: Categorizes risks (Political, Economic, Social, Technological, Environmental, Legal) - **Strategic vs Operational**: Distinguishes high-level strategy risks from day-to-day issues - **Impact Assessment**: Estimates financial cost, time to impact, affected departments ### 3. Proactive Actions - **Prioritized Recommendations**: Tells you exactly what to do and when - **Resource Allocation**: Suggests where to focus management attention - **Scenario Planning**: Best case, most likely, worst case forecasts ### 4. Interactive Dashboard - **Executive View**: High-level KPIs for management - **Early Warning Panel**: Real-time weak signal monitoring - **Trend Analysis**: Historical patterns and forecasts - **Action Center**: Prioritized task list with owners

Project Idea Metadata

Project Idea Name: RISK RADAR 360
Date: 1/8/2026 2:59:56 PM
Administrators:
- Mehmet Zahit Ünsal

Project Idea Description

Risk Radar 360 combines:

- 📡 **Multi-source data collection** (news, social media, official documents)

- 🤖 **AI-powered risk analysis** (GPT-4 for sophisticated interpretation)

- 🔍 **Weak signal detection** (identifying risks before they materialize)

- 📈 **Trend analysis & forecasting** (predicting risk trajectories)

- 💡 **Proactive action recommendations** (telling you what to do, not just what's happening)

# ✨ Key Features

### 1. Early Warning System

- **Weak Signal Detection**: Identifies emerging risks 3-6 weeks before they materialize

- **Anomaly Detection**: Volume spikes, sentiment shifts, influencer activity

- **Pattern Matching**: Learns from historical events

### 2. Strategic Intelligence

- **PESTEL Framework**: Categorizes risks (Political, Economic, Social, Technological, Environmental, Legal)

- **Strategic vs Operational**: Distinguishes high-level strategy risks from day-to-day issues

- **Impact Assessment**: Estimates financial cost, time to impact, affected departments

### 3. Proactive Actions

- **Prioritized Recommendations**: Tells you exactly what to do and when

- **Resource Allocation**: Suggests where to focus management attention

- **Scenario Planning**: Best case, most likely, worst case forecasts

### 4. Interactive Dashboard

- **Executive View**: High-level KPIs for management

- **Early Warning Panel**: Real-time weak signal monitoring

- **Trend Analysis**: Historical patterns and forecasts

- **Action Center**: Prioritized task list with owners

Risk Radar 360 is an AI-powered strategic early warning system developed for Swiss Federal Railways (SBB).

It transforms traditional, reactive risk management into a proactive intelligence model. By collecting data from diverse sources—such as news, social media, and official documents—the system identifies "weak signals" before risks fully materialize.

Core Objective: To forecast political, economic, and technological risks affecting SBB's strategy 3-6 weeks in advance. It analyzes potential impacts and provides management with concrete, prioritized action recommendations to turn emerging threats into manageable or preventable situations.