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README.md

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+# FinC2E — Governance Gateway
+### Human-Centered AI Systems for Compliance, Risk Structuring & Institutional Decision Legitimacy
+
+**FinC2E — Governance Gateway** is the governance and evaluation interface for **FinC2E (Financial Cognitive Compliance Engine)**, designed to support structured onboarding, institutional evaluation, and policy-bound enterprise engagement.
+
+This Gateway exists to **structure, explain, and govern compliance-related AI decisions** — not to automate enforcement or replace human responsibility.
+
+---
+
+## What This Space Is
+
+- A **governance & evaluation interface** for institutional stakeholders  
+- A **scope boundary layer** describing intended use, constraints, and risk posture  
+- A **legitimacy layer** explaining *why* and *under which rules* decisions are structured  
+- An **enterprise front door** for controlled evaluation and onboarding  
+
+---
+
+## What This Space Is Not
+
+- No autonomous decision-making system  
+- No enforcement mechanism  
+- No legal or regulatory authority  
+- No public inference endpoint  
+
+FinC2E is designed to **structure and explain decisions**, not to replace accountability.
+
 ---
-title: FinC2E-Governance
-emoji: 🛡️
-colorFrom: gray
-colorTo: red
-sdk: static
-pinned: true
+
+## Flagship Capability
+
+### FinC2E (Financial Cognitive Compliance Engine)
+
+FinC2E is an **advisory, non-autonomous AI system** designed for regulated financial environments, supporting:
+
+- AML / KYC / CDD triage  
+- Financial risk classification  
+- Compliance decision support  
+- Audit-ready, policy-referenced reasoning  
+
+**Core properties:**
+- Deterministic, structured outputs  
+- Traceable decision logic and inputs  
+- Explainability by design  
+- Accountability preserved (advisory-only)
+
 ---
 
-# FinC2E — Governance Gateway (Space)
+## Governance Principles
 
-This Space is the **governance-first interface** for FinC2E (Financial Cognitive Compliance Engine) under **BPM RED Academy — HumAI MightHub**.
+FinC2E operates under strict governance constraints:
 
-## What this Space is
-- A **Governance & Evaluation UI** (public-facing)
-- A **product card** for enterprise stakeholders
-- A **controlled onboarding gateway** to FinC2E capabilities
+- **Human-in-the-loop by design**  
+- **No autonomous enforcement**  
+- **No opaque scoring**  
+- **No untraceable inference**  
 
-## What this Space is NOT
-- Not an inference endpoint
-- Not an automated compliance system
-- Not a legal or regulatory authority
+Every output is:
+- Explainable  
+- Auditable  
+- Policy-referenced  
+- Human-reviewable  
 
-## Model of record
-The canonical model card lives here:
+---
+
+## Engagement Modes
+
+Access to FinC2E is provided exclusively through controlled institutional pathways:
 
-- **Model:** `MightHubHumAI/FinC2E`
+- **Pilot / Proof of Concept**  
+- **Controlled Evaluation**  
+- **Enterprise Onboarding**  
+- **Private / Sovereign Deployment**  
 
-This Space communicates scope, principles, and evaluation posture. The model card defines the system’s intended use, constraints, and governance rules.
+Access is granted under onboarding rules aligned with regulated environments.  
+Pricing and deployment models are **contract-, usage-, and risk-tier–based**.
 
-## Access & Engagement
-FinC2E is deployed under **human-in-the-loop** constraints and is intended for regulated, high-stakes environments.
+---
+
+## Governance & Operational Boundaries
 
-Engagement modes:
-- Pilot / PoC (controlled evaluation)
-- Enterprise onboarding (contractual access)
-- Private deployment paths (as applicable)
+This Space and associated systems:
 
-## Links
-- BPM RED Academy: https://www.bpm.ba
-- Contact: via official BPM channels
+- Are advisory, non-autonomous systems  
+- Do not constitute legal or compliance authorities  
+- Require qualified human validation  
+- Are designed for controlled evaluation and enterprise onboarding  
 
-## Next Steps & Engagement
+Governance, billing, and orchestration layers operate **outside this Space**.
 
-FinC2E is publicly visible for transparency and evaluation purposes.
+---
 
-Engagement pathways include:
-- Expert review and feedback
-- Institutional and regulatory briefings
-- Enterprise pilot discussions
-- Research and governance collaboration
+## Organization
 
-No public inference access is provided.
+**BPM RED Academy — HumAI MightHub**  
+Human performance, AI governance, and cognitive systems engineering.
 
-For structured engagement, stakeholders are invited to initiate contact through official BPM RED Academy channels.
+🌐 https://www.bpm.ba
 
 ---
 
-© BPM RED Academy — HumAI MightHub  
-Engineering legitimacy into AI systems.
+**HumAI MightHub**  
+_Engineering legitimacy into AI systems._