Update README.md

README.md

@@ -1,3 +1,108 @@
+---
+title: FinC2E – Governance-First AI
+emoji: 🛡️
+license: other
+language:
+- en
+tags:
+- governance
+- compliance
+- aml
+- kyc
+- risk
+- audit
+- human-in-the-loop
+- decision-support
+- enterprise
+- regtech
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# FinC2E — Financial Cognitive Compliance Engine  
+### Governance-First AI for AML/KYC & Audit-Ready Decision Support (Human-in-the-Loop)
+
+**FinC2E** is a governance-first AI advisory system designed for **regulated, high-stakes environments** where **decision legitimacy, traceability, and accountability** are more critical than automation or speed.
+
+FinC2E is developed under **BPM RED Academy — HumAI MightHub** as a controlled, enterprise-grade cognitive layer supporting human decision-makers in compliance, risk, and audit workflows.
+
+---
+
+## Core positioning (non-negotiable)
+
+- **Advisory-only AI** — Human-in-the-Loop by design  
+- **No autonomous enforcement**  
+- **No replacement of compliance officers**  
+- **No black-box decisions**  
+- **Responsibility always remains with the human decision-maker**
+
+FinC2E is intentionally **not** an autonomous compliance system.
+
+---
+
+## What FinC2E does
+
+FinC2E supports regulated teams by generating **structured, reviewable reasoning**, not decisions.
+
+Primary capabilities include:
+
+- **Case triage & prioritization support**  
+  Risk-oriented reasoning signals for human review
+
+- **Policy-referenced reasoning**  
+  Outputs explicitly reference assumptions, rule context, and logic paths
+
+- **Audit-ready narratives**  
+  Structured explanations suitable for auditors, regulators, and committees
+
+- **Scenario & stress-logic support**  
+  FSAP-style views and counterfactual reasoning
+
+- **Committee-ready summaries**  
+  Clear, human-readable briefs for decision boards
+
+---
+
+## What FinC2E is NOT
+
+- Not an automated blocking or freezing system  
+- Not a penalty or enforcement engine  
+- Not a legal authority or regulator  
+- Not a “push-button compliance” product  
+
+FinC2E does **not** take actions.  
+It supports **human judgment under governance constraints**.
+
+---
+
+## Intended users
+
+FinC2E is designed for:
+
+- Banks and financial institutions (AML / KYC / CDD teams)  
+- RegTech providers  
+- Audit and compliance consultancies  
+- Institutional risk and compliance committees  
+- Government, FIU, and sovereign deployments (controlled and policy-bound)
+
+It is **not intended** for consumer or retail use.
+
+---
+
+## Governance & design principles
+
+FinC2E is built around the following principles:
+
+1. **Human accountability first**  
+2. **Traceable reasoning over opaque accuracy**  
+3. **Policy alignment before model optimization**  
+4. **Auditability as a core requirement, not an add-on**  
+5. **Controlled deployment over unrestricted access**
+
+These principles define both system behavior and engagement models.
+
+---
+
 ## Commercial & Institutional Use (Licensing)
 
 FinC2E is available for **commercial, institutional, and governmental use** under a separate license.
@@ -10,15 +115,16 @@ Commercial licensing is required for any:
 
 ---
 
-### Institutional pricing (Early Governance Adoption Window)
+### Institutional pricing  
+#### Early Governance Adoption Window (50%)
 
-As part of an **early institutional adoption window**, FinC2E is currently offered under **special governance-onboarding terms**.
+As part of an **early institutional governance onboarding window**, FinC2E is currently offered under special terms:
 
 > **New Year Governance Adoption Offer — valid until January 2nd, 2026**
 
-These terms are designed for early evaluators, regulators, and institutions preparing for stricter AI governance and audit requirements in 2026.
+These terms are intended for organizations preparing for **stricter AI governance, audit, and accountability requirements in 2026**.
 
-#### Current institutional pricing (50% onboarding terms):
+**Current onboarding terms (50%):**
 
 - **Evaluation PoC (controlled scope): €75,000**  
   *(standard institutional price: €150,000)*
@@ -29,19 +135,85 @@ These terms are designed for early evaluators, regulators, and institutions prep
 - **Annual Enterprise License: from €750,000**  
   *(standard institutional price: from €1,500,000)*
 
-Pricing depends on:
-- jurisdiction and regulatory context,
-- deployment model (on-prem / sovereign cloud / controlled environment),
+Final pricing depends on:
+- jurisdiction and regulatory context,  
+- deployment model (on-prem / sovereign cloud / controlled environment),  
 - governance depth and audit requirements.
 
 ---
 
-### Contact for licensing, pilots, or institutional evaluation
+### Contact for licensing and institutional engagement
+
+- **Website:** https://www.bpm.ba/FinC2E  
+- **Email:** governance@bpm.ba  
+- **Suggested subject:** *“FinC2E — Governance Licensing / Institutional Pilot”*
+
+---
+
+## Deployment models (commercial)
+
+FinC2E may be deployed under controlled conditions via:
+
+- **Evaluation PoC** — limited scope, non-production  
+- **Institutional pilot** — policy-defined, monitored, auditable  
+- **On-prem / sovereign cloud deployments** — where required by regulation
+
+> Note: Any “Deploy” or hosting options shown by platform interfaces (e.g. Hugging Face Spaces or inference tooling) refer to **technical serving mechanisms only**.  
+> Commercial deployment of FinC2E is governed exclusively through licensing and contractual engagement.
+
+---
+
+## Evaluation context & ecosystem alignment
+
+FinC2E has been developed, iterated, and evaluated **within the NVIDIA ecosystem**, using enterprise-grade tooling aligned with regulated AI deployment standards.
+
+Across a **three-month evaluation period**, the system demonstrated **consistent exponential growth in evaluator engagement and institutional interest**, driven by:
+- governance-first positioning,
+- human-in-the-loop design,
+- audit-ready reasoning outputs.
+
+Evaluation focused on:
+- decision traceability and narrative integrity,  
+- stability of policy-referenced reasoning,  
+- suitability for high-stakes, regulated environments.
+
+This evaluation phase informed the system’s current **commercial and institutional readiness**.
+
+---
+
+## Evaluation notes (for serious evaluators)
+
+Recommended evaluation criteria:
 
-- Website: **bpm.ba/FinC2E**
-- Email: **governance@bpm.ba**
-- Suggested subject line: **“FinC2E — Governance Licensing / Institutional Pilot”**
+- Auditability of reasoning paths  
+- Preservation of human accountability  
+- Policy alignment and explainability  
+- Integration with committee and case-management workflows  
+- Reproducibility under controlled inference conditions  
+
+Feedback is welcomed from teams working in:
+- regulated AI deployments,  
+- governance, audit, and explainability,  
+- enterprise inference and evaluation tooling.
 
 ---
 
-> This offer does not affect long-term licensing benchmarks and is intended solely for early institutional partners preparing governance-first AI deployments.
+## Canonical reference
+
+**FinC2E — Financial Cognitive Compliance Engine**  
+Governance-first AI for AML/KYC, risk classification, and audit-ready reasoning.  
+Advisory-only. Human-in-the-Loop.
+
+---
+
+## Legal & compliance disclaimer
+
+FinC2E provides **decision support only** and does not constitute legal advice.  
+All final decisions remain with qualified human reviewers and accountable officers.
+
+---
+
+© BPM RED Academy — HumAI MightHub  
+Engineering legitimacy into AI systems.
+
+— Edin