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README.md
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license: apache-2.0
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| 1 |
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---
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license: apache-2.0
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tags:
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- decision-intelligence
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- insurance
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- governance
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- audit
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- gcc
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library_name: bdr-decision-os
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---
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# BDR Decision Engine
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## π― Core Decision Operating System
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**The foundational orchestration engine for insurance decision intelligence.**
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This is NOT a standalone model. It is the **reusable core engine** that powers all insurance decision systems in the Bader AI platform.
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---
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## Architecture Principle
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**Capabilities are NOT projects.**
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**Insurance decision systems ARE projects.**
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This engine is industry-agnostic. Insurance logic is injected via configuration.
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---
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## What This Engine Does
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The BDR Decision Engine provides:
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### 1. Agent Orchestration
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- Multi-agent workflow coordination
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- Sequential and parallel execution
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- Agent state management
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- Error handling and recovery
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### 2. Input Normalization
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- Schema validation
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- Data type conversion
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- Missing value handling
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- Format standardization
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### 3. Decision Routing
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- Rule-based routing
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- Confidence-based escalation
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- Priority queue management
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- Load balancing
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### 4. Governance Hooks
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- Pre-decision validation
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- Post-decision logging
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- Compliance checks
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- Regulatory alignment (IFRS, AML)
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### 5. Metrics Hooks
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- Performance tracking
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- Confidence distribution
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- Escalation rate monitoring
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- Turnaround time measurement
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### 6. Human-in-the-Loop Overrides
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- Manual decision override
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- Override justification capture
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- Audit trail preservation
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- Feedback loop integration
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---
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## Standard Decision Contract
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All systems using this engine output the same contract:
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```json
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{
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"decision": "approve | reject | escalate | investigate | adjust",
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"confidence": 0.0-1.0,
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"rationale": "human-readable explanation",
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"risk_signals": ["fraud", "coverage_gap", "inconsistency"],
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"recommended_next_step": "string"
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}
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```
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---
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## Insurance Systems Using This Engine
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This engine powers 4 production insurance systems:
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| System | Purpose | Capabilities Activated |
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|--------|---------|------------------------|
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| **ClaimsGPT** | Claim approval decisions | vision_ocr, document_parser, vision_vqa, financial_analysis, risk_scoring, decision_optimizer |
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| **FraudSimulator-AI** | Fraud detection | anomaly_detection, scenario_simulator, risk_scoring, financial_analysis |
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| **AutoRiskScoreEngine** | Underwriting & pricing | financial_analysis, optimization_engine, time_series_forecasting, scenario_simulator |
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| **InsuranceKnowledgeAgent** | Policy interpretation | language_rag, policy_clause_reasoner, document_parser |
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---
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## Capability Module Interface
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Each capability module must expose:
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```python
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{
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"input_schema": {},
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"output_schema": {},
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"supported_decisions": []
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}
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```
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### Available Capability Categories
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**Vision & Documents (3 modules)**
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- `vision_ocr` - Extract text from images
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- `vision_vqa` - Visual question answering
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- `document_parser` - Parse structured documents
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**Language & Knowledge (3 modules)**
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- `language_rag` - Retrieval-augmented generation
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- `text_analysis` - Text classification and NER
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- `policy_clause_reasoner` - Policy interpretation
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**Risk & Analytics (4 modules)**
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- `anomaly_detection` - Detect unusual patterns
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- `risk_scoring` - Calculate risk scores
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- `financial_analysis` - Financial impact assessment
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- `time_series_forecasting` - Predict trends
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**Decision Intelligence (2 modules)**
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- `decision_optimizer` - Optimize decision outcomes
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- `scenario_simulator` - Simulate decision scenarios
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**Governance (4 modules)**
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- `audit_logger` - Log all decisions
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- `confidence_tracker` - Track confidence scores
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- `override_handler` - Manage human overrides
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- `drift_monitor` - Detect model drift
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---
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## Governance Guarantees
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β
**Every decision is logged**
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β
**Rationale is always stored**
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β
**Confidence is tracked**
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β
**Human overrides are recorded**
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β
**Audit replay is supported**
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Governance is **shared across all systems** - never duplicated.
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---
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## Usage Pattern
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```python
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from bdr_decision_engine import DecisionEngine
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# Initialize engine with config
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engine = DecisionEngine(
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system="claims",
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enabled_capabilities=[
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"vision_ocr",
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"document_parser",
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"risk_scoring",
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"decision_optimizer"
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],
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governance="strict",
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metrics="claims_kpis"
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)
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# Process decision
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result = engine.process({
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"claim_id": "CLM-2026-001",
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"claim_type": "motor",
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"claim_amount": 5000,
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"documents": [...],
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"images": [...]
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})
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print(result.decision) # "approve"
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print(result.confidence) # 0.92
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print(result.rationale) # "Claim meets all criteria..."
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print(result.risk_signals) # []
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```
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---
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## Strategic Positioning
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**Bader AI β Insurance Decision Operating System**
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This engine is the foundation of the GCC reference architecture for insurance AI, designed for:
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- **Insurers** - Production decision automation
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- **Regulators** - Auditable AI governance
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- **System Integrators** - Reusable decision infrastructure
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---
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## What This Prevents
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β Demo chaos
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β Capability sprawl
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β Architectural drift
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β Ungoverned AI outputs
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β Non-insurance use cases
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---
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## License
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Apache 2.0
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---
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## Organization
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[BDR AI Organization](https://huggingface.co/bdr-ai-org)
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**Building the future of insurance decision intelligence for the GCC region.**
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