Why GB-FiscalAI?
The Context
Guinea-Bissau, like many developing countries, faces major challenges in customs control and tax revenue collection. Customs represent an essential source of revenue for the State, but traditional control methods have shown their limits.
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Did you know?
According to the World Customs Organization, losses due to customs fraud can represent up to 5-10% of GDP in some countries.
The Problem
Before GB-FiscalAI
┌─────────────────────────────────────────────────────────────┐
│ MANUAL PROCESS │
├─────────────────────────────────────────────────────────────┤
│ │
│ 📄 Declaration → 👤 Agent → ✓/✗ Decision │
│ arrives examines manual │
│ alone │
│ │
│ Problems: │
│ • Random inspection (5-10% of declarations) │
│ • Human fatigue and errors │
│ • No memory of past fraud │
│ • Known fraudsters not detected │
│ • Long processing time │
│ │
└─────────────────────────────────────────────────────────────┘Daily Challenges
1. High Volume of Declarations
- Hundreds of declarations per day
- Impossible to control everything manually
- Arbitrary choices on what to verify
2. Sophisticated Fraud Techniques
- Systematic undervaluation of goods
- Incorrect product classification (HS codes)
- Forged documents and invoices
- Use of shell companies
3. Lack of Analysis Tools
- Data not centralized
- No historical view
- Decisions based on intuition
4. Limited Resources
- Insufficient staff
- Variable agent training
- Personnel turnover
The Solution: GB-FiscalAI
GB-FiscalAI addresses these challenges by bringing artificial intelligence to the service of customs.
┌─────────────────────────────────────────────────────────────┐
│ WITH GB-FiscalAI │
├─────────────────────────────────────────────────────────────┤
│ │
│ 📄 Declaration → 🤖 AI Analysis → 📊 Score → 👤 Agent│
│ automatic of risk decides │
│ │
│ Advantages: │
│ • 100% of declarations analyzed │
│ • Real-time detection │
│ • Memory of all fraud │
│ • Intelligent prioritization │
│ • Agents focused on critical cases │
│ │
└─────────────────────────────────────────────────────────────┘Real Use Cases
Case 1: Undervaluation Detected
Situation: An importer declares 500 smartphones at 50 USD each.
AI Analysis: The reference price for this model is 800 USD. Difference: -94% → Critical Alert
Result: Inspection revealed → Tax adjustment of 375,000 USD
Case 2: Suspicious Pattern Identified
Situation: A company makes multiple small imports below the control threshold.
AI Analysis: Detection of 47 declarations in 30 days, all just below the limit. Pattern: Deliberate fractionation → Pattern Alert
Result: In-depth investigation → Organized fraud discovered
Case 3: High-Risk Importer
Situation: New declaration from an importer with problematic history.
AI Analysis: Importer score: 78% (history of 5 frauds) Sensitive goods + Risk country → Automatic Alert
Result: Systematic inspection → Compliance enforced
Who Uses GB-FiscalAI?
👨💼
Customs Agents
Analyze alerts and perform targeted inspections
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Risk Analysts
Study trends and improve models
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Directors
Monitor KPIs and optimize resources
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Ministry
Maximizes tax revenues
Long-Term Vision
GB-FiscalAI is part of Guinea-Bissau's modernization of public administration:
- Short term (2026): Automated fraud detection
- Medium term (2027): Complete integration with SYDONIA
- Long term (2028+): Model exportable to other ECOWAS countries
Ready to get started?