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-title: FinC2E — Financial Cognitive Compliance Engine
-emoji: 🛡️
-colorFrom: gray
-colorTo: red
-sdk: static
-pinned: true
 ---
-## FinC2E — Governance-First Financial AI
-**FinC2E (Financial Cognitive Compliance Engine)** is a governance-first, human-in-the-loop AI system designed for **regulated financial environments** where decision legitimacy, auditability, and accountability are mandatory.
-FinC2E does **not** automate enforcement.
-It structures, validates, and documents decisions.
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-## What FinC2E Is
-FinC2E is a **non-autonomous cognitive engine** supporting:
-- AML / KYC / CDD triage
 - Financial risk classification
-- Compliance decision support
-- Audit-ready reasoning output
-- Policy-referenced assessments
-Every output is:
-- deterministic
-- explainable
-- traceable
-- human-approved
----
-## Core Design Principles
-- **Governance-first architecture**
-- **Human-in-the-loop by design**
-- **No black-box scoring**
-- **No autonomous decisions**
-- **Policy-referenced reasoning**
-- **Audit-before-action logic**
-FinC2E is built to operate **above models**, not inside them.
 ---
-## What FinC2E Is NOT
-- ❌ Not an autonomous decision-maker
-- ❌ Not a credit scoring engine
-- ❌ Not a replacement for compliance officers
-- ❌ Not an enforcement system
-FinC2E structures responsibility — it does not remove it.
 ---
-## Deployment Modes
-FinC2E can be deployed as:
-- Enterprise SaaS (End-to-End)
-- Private inference service
-- On-premise / regulated cloud
-- Advisory layer above existing AI models
-- Compliance & governance middleware
-Deployment is tailored to regulatory, jurisdictional, and institutional constraints.
 ---
-## Monetization Models (Indicative)
-FinC2E supports multiple monetization paths:
-- Subscription-based access
-- Usage-based inference
-- Per-decision governance validation
-- Enterprise licensing
-- Regulated private deployments
-**Pricing is risk-, value-, and compliance-adjusted at contract time.**
 ---
-## Target Users
-- Financial institutions
-- Regulated enterprises
-- Compliance & risk teams
-- Audit & governance functions
-- AI governance stakeholders
 ---
-## Governance Commitment
-FinC2E operates under strict governance constraints:
-- No opaque inference
-- No untraceable outputs
-- No automated enforcement
-- Full audit trail by default
 ---
-## Status
-🔒 **Preview / Governance Artifact**
-📩 Enterprise & institutional inquiries via official channels only.
 ---

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