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README.md
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---
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language:
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- en
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- bs
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license: apache-2.0
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tags:
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- governance
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- compliance
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- aml
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- risk-management
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- human-in-the-loop
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- explainable-ai
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- regulated-ai
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---
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# FinC2E — Financial Cognitive Compliance Engine
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## Model Summary
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FinC2E is a **governance-first financial reasoning model** designed to support compliance, risk classification, and audit-ready decision structuring in regulated environments.
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The model is **advisory only** and operates strictly under **human-in-the-loop** constraints.
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---
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## Intended Use
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FinC2E is intended for:
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- AML / KYC / CDD triage support
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- Financial risk classification
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- Compliance decision assistance
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- Audit-ready reasoning generation
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- Policy-referenced analysis
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The model is designed to **structure and explain decisions**, not to automate enforcement.
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---
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## Out-of-Scope Use
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FinC2E must **not** be used for:
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- Autonomous decision-making
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- Credit approval or rejection
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- Enforcement actions
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- Final legal or regulatory determinations
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- Unsupervised production deployment
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---
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## Governance & Safety
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Key governance properties:
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- No autonomous decisions
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- Deterministic, structured outputs
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- Policy-referenced reasoning
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- Human approval required for all actions
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- Full traceability of inference logic
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---
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## Ethical Considerations
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FinC2E is built to **preserve accountability**, not to replace it.
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The system prioritizes:
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- Transparency
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- Explainability
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- Auditability
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- Human responsibility
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---
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## Language Support
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- English (primary)
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- Bosnian / Serbian / Croatian (supported)
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- EU-regulatory language readiness
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---
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## Deployment Notes
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FinC2E is designed to operate as:
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- Advisory layer above foundation models
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- Enterprise SaaS component
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- Private inference service
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- Governance middleware in regulated stacks
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Deployment must align with applicable regulatory frameworks.
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---
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## Disclaimer
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This model provides **advisory output only**.
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Final responsibility remains with the human decision-maker.
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---
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© BPM RED Academy — HumAI MightHub
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Human-Centered AI for Decision Legitimacy
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