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| title: FinC2E — Governance Gateway | |
| emoji: 🛡️ | |
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| # FinC2E — Governance Gateway | |
| ### Human-Centered AI Systems for Compliance, Risk Structuring & Institutional Decision Legitimacy | |
| > This Space serves as a **Governance & Evaluation Gateway** for institutional stakeholders, enterprise onboarding, and Hugging Face Enterprise evaluation contexts. | |
| **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. | |
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| ## 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. | |
| --- | |
| ## Flagship Capability | |
| ### FinC2E (Financial Cognitive Compliance Engine) | |
| FinC2E is an **advisory, non-autonomous AI system** designed for regulated financial environments. | |
| Core functions: | |
| - AML / KYC / CDD triage support | |
| - 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) | |
| --- | |
| ## Governance Principles | |
| FinC2E operates under strict governance constraints: | |
| - **Human-in-the-loop by design** | |
| - **No autonomous enforcement** | |
| - **No opaque scoring** | |
| - **No untraceable inference** | |
| Every output is: | |
| - Explainable | |
| - Auditable | |
| - Policy-referenced | |
| - Human-reviewable | |
| --- | |
| ## Engagement Modes | |
| Access to FinC2E is provided exclusively through controlled institutional pathways: | |
| - **Pilot / Proof of Concept** | |
| - **Controlled Evaluation** | |
| - **Enterprise Onboarding** | |
| - **Private / Sovereign Deployment** | |
| Access is granted under onboarding rules aligned with regulated environments. | |
| Pricing and deployment models are **contract-, usage-, and risk-tier-based**. | |
| --- | |
| ## Governance & Operational Boundaries | |
| This Space and associated systems: | |
| - Are advisory, non-autonomous systems | |
| - Do not constitute legal or compliance authorities | |
| - Require qualified human validation | |
| - Are designed for controlled evaluation and enterprise onboarding | |
| Governance, billing, and orchestration layers operate **outside this Space**. | |
| --- | |
| ## Organization | |
| **BPM RED Academy — HumAI MightHub** | |
| Human performance, AI governance, and cognitive systems engineering. | |
| 🌐 https://www.bpm.ba | |
| --- | |
| **HumAI MightHub** | |
| *Engineering legitimacy into AI systems.* |