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| title: BDR Agent Factory | |
| emoji: π | |
| colorFrom: red | |
| colorTo: gray | |
| sdk: static | |
| pinned: false | |
| short_description: Capability registry, governance backbone, and decision cont | |
| # π BDR Agent Factory | |
| **Single Source of Truth for Governed AI Capabilities in Insurance** | |
| The BDR Agent Factory is an enterprise governance framework that defines, maps, and manages AI capabilities across insurance business systems. It serves as the central registry for all AI agents, ensuring compliance, explainability, and auditability. | |
| --- | |
| ## π― Why BDR Agent Factory? | |
| ### The Problem: Unregulated AI in High-Stakes Industries | |
| Most AI systems today operate as "black boxes" with: | |
| - β No audit trails for decisions | |
| - β No governance controls | |
| - β No compliance tracking | |
| - β No human accountability | |
| This is **unacceptable** for regulated industries like insurance, finance, and healthcare where every decision must be explainable, auditable, and compliant. | |
| ### The Solution: Governed AI Capabilities | |
| BDR Agent Factory provides: | |
| - β **Single Source of Truth** - All AI capabilities defined in one registry | |
| - β **Decision Traceability** - Every AI decision is logged and auditable | |
| - β **Human-in-the-Loop** - Humans retain final decision authority | |
| - β **Compliance-Ready** - Built for IFRS 17, HIPAA, GDPR, AML regulations | |
| - β **Explainability** - Governance flags ensure transparency | |
| ### Governed AI vs Unregulated AI | |
| | Aspect | Unregulated AI | BDR Agent Factory | | |
| |--------|----------------|-------------------| | |
| | **Audit Trail** | β None | β Complete decision logs | | |
| | **Governance** | β No controls | β Registry-enforced rules | | |
| | **Compliance** | β Unknown | β Regulation-aware | | |
| | **Explainability** | β Black box | β Transparent flags | | |
| | **Accountability** | β AI decides | β Human final authority | | |
| | **Risk** | π΄ High | π’ Managed | | |
| --- | |
| ## π Overview | |
| This Space contains two critical governance documents: | |
| 1. **AI_CAPABILITY_DICTIONARY.yaml** - Comprehensive taxonomy of 50+ AI capabilities | |
| 2. **CAPABILITY_SYSTEM_MAP.yaml** - Mapping of capabilities to 8 business systems | |
| --- | |
| ## π― Key Features | |
| ### AI Capability Dictionary | |
| - **50+ AI Capabilities** across 8 categories: | |
| - π¨ Generation (text, code, synthetic data) | |
| - π Transformation (translation, summarization, extraction) | |
| - π¬ Language (classification, NER, sentiment) | |
| - π΅ Audio (transcription, speech synthesis) | |
| - ποΈ Vision (object detection, OCR, damage assessment) | |
| - π Document (parsing, analysis, generation) | |
| - π Analytics (forecasting, anomaly detection, clustering) | |
| - βοΈ Governance (explainability, audit, compliance) | |
| ### System Mapping | |
| - **8 Production Systems** mapped to capabilities | |
| - **3 Planned Systems** for future expansion | |
| - **Governance Requirements** (IFRS 17, HIPAA, GDPR, AML) | |
| - **Decision Types** (approve, review, reject, escalate) | |
| --- | |
| ## ποΈ Architecture | |
| ``` | |
| BDR Agent Factory (Governance Hub) | |
| βββ AI Capability Dictionary | |
| β βββ Capability Definitions | |
| β βββ Insurance Use Cases | |
| β βββ Governance Flags | |
| βββ System Mapping | |
| βββ Business Systems | |
| βββ Required Capabilities | |
| βββ Compliance Requirements | |
| ``` | |
| --- | |
| ## π Mapped Business Systems | |
| 1. **ClaimsGPT** - AI-powered claims decision intelligence | |
| 2. **FraudDetectionAgent** - Real-time fraud detection | |
| 3. **PolicyIntelligenceAgent** - RAG-powered policy knowledge | |
| 4. **DamageAssessmentAgent** - Computer vision damage analysis | |
| 5. **CustomerServiceAgent** - Conversational AI support | |
| 6. **UnderwritingAgent** - IFRS-ready risk scoring | |
| 7. **MedicalClaimsAgent** - Healthcare claims processing | |
| 8. **ComplianceMonitoringAgent** - Regulatory compliance tracking | |
| --- | |
| ## π Governance Standards | |
| ### Compliance Frameworks | |
| - β **IFRS 17** - Insurance contracts accounting | |
| - β **HIPAA** - Healthcare data privacy | |
| - β **GDPR** - Data protection regulation | |
| - β **AML** - Anti-money laundering | |
| ### AI Governance | |
| - π **Explainability** - All decisions traceable | |
| - π **Auditability** - Complete audit trails | |
| - βοΈ **Fairness** - Bias detection and mitigation | |
| - π **Privacy** - Data protection built-in | |
| --- | |
| ## π Usage | |
| ### Viewing Capability Dictionary | |
| 1. Navigate to Files tab | |
| 2. Open `AI_CAPABILITY_DICTIONARY.yaml` | |
| 3. Browse 50+ capabilities with detailed metadata | |
| ### Viewing System Map | |
| 1. Navigate to Files tab | |
| 2. Open `CAPABILITY_SYSTEM_MAP.yaml` | |
| 3. See business system to capability mappings | |
| --- | |
| ## π Documentation | |
| Each capability includes: | |
| - **Unique ID** - Standardized identifier | |
| - **Name & Description** - Clear definition | |
| - **Category** - Functional grouping | |
| - **Supported Domains** - Applicable areas | |
| - **Insurance Use Cases** - Real-world applications | |
| - **Decision Types** - Output classifications | |
| - **Governance Flags** - Explainable, auditable, regulated | |
| --- | |
| ## π Example Capability | |
| ```yaml | |
| - id: cap_text_classification | |
| name: Text Classification | |
| category: language | |
| description: Categorize text into predefined classes | |
| supported_domains: | |
| - claims | |
| - underwriting | |
| - customer_service | |
| insurance_use_cases: | |
| - Claim type classification | |
| - Policy document categorization | |
| decision_types: | |
| - approve | |
| - review | |
| - reject | |
| explainable: true | |
| auditable: true | |
| ``` | |
| --- | |
| ## π Related Resources | |
| - [ClaimsGPT](https://huggingface.co/spaces/bdr-ai-org/ClaimsGPT) - Production claims system | |
| - [ClaimsDecisionDesk](https://huggingface.co/spaces/bdr-ai-org/ClaimsDecisionDesk) - Human-in-loop interface | |
| - [Insurance Claims Model](https://huggingface.co/bdr-ai-org/insurance-claims-decision-model-v1) - ML model | |
| - [Motor Claims Dataset](https://huggingface.co/datasets/bdr-ai-org/insurance-motor-claims-decision-v1) - Training data | |
| - - [Insurance Decision Boundaries](https://huggingface.co/datasets/BDR-AI/insurance_decision_boundaries_v1) - Governance dataset for decision support | |
| --- | |
| ## π Project Status | |
| - β 50+ AI capabilities defined | |
| - β 8 business systems mapped | |
| - β 4 compliance frameworks integrated | |
| - β Production-ready governance structure | |
| --- | |
| ## π€ Contributing | |
| To add new capabilities or systems: | |
| 1. Follow the YAML schema in existing files | |
| 2. Include all required governance metadata | |
| 3. Document insurance-specific use cases | |
| 4. Ensure compliance flags are accurate | |
| --- | |
| ## π License | |
| MIT License - See individual component licenses for details | |
| --- | |
| ## π Contact | |
| For questions about the BDR Agent Factory governance framework, please open an issue or discussion. | |
| --- | |
| **Built with β€οΈ for Enterprise AI Governance in Insurance** |