Update README.md

README.md

@@ -1,116 +1,75 @@
 ---
-title: FinC2E — Governance Gateway
-emoji: 🛡️
-colorFrom: gray
-colorTo: indigo
+title: FinC2E Governance Gateway
+emoji: 🏛️
+colorFrom: indigo
+colorTo: blue
 sdk: static
-app_file: index.html
 pinned: false
+license: other
+short_description: Governance-first AI interface for regulated decision support
 ---
 
-# FinC2E — Governance Gateway  
-### Human-Centered AI Systems for Compliance, Risk Structuring & Institutional Decision Legitimacy
+# FinC2E — Governance Gateway
 
-> This Space serves as a **Governance & Evaluation Gateway** for institutional stakeholders, enterprise onboarding, and Hugging Face Enterprise evaluation contexts.
+**Governance-First AI for Regulated Decision Support, Audit-Ready Reasoning, and Controlled Institutional Deployment**
 
-**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.
+FinC2E Governance Gateway is a controlled interface for presenting and evaluating the governance posture, engagement model, and decision-support orientation of **FinC2E — Financial Cognitive Compliance Engine**.
 
-This Gateway exists to **structure, explain, and govern** compliance-related AI decisions — **not** to automate enforcement or replace human responsibility.
+This Space is designed for stakeholders working in regulated, high-accountability environments where AI must remain reviewable, traceable, policy-aware, and human-governed.
 
----
-
-## 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)
+## What this Space is
 
-FinC2E is an **advisory, non-autonomous AI system** designed for regulated financial environments.
+- A controlled institutional interface for evaluating FinC2E
+- A governance and onboarding layer for regulated stakeholders
+- A structured entry point into policy-bound reasoning workflows
+- A legitimacy layer showing how decisions are explained, reviewed, and governed
 
-Core functions:
-- AML / KYC / CDD triage support  
-- Financial risk classification  
-- Compliance decision support  
-- Audit-ready, policy-referenced reasoning  
+## What this Space is NOT
 
-**Core properties:**
-- Deterministic, structured outputs  
-- Traceable decision logic and inputs  
-- Explainability by design  
-- Accountability preserved (advisory-only)
+- Not an autonomous decision-making system
+- Not an enforcement engine
+- Not a legal or regulatory authority
+- Not a public unrestricted inference endpoint
 
----
-
-## Governance Principles
-
-FinC2E operates under strict governance constraints:
+FinC2E is designed to structure, clarify, and support human decisions — never to replace accountable authority.
 
-- **Human-in-the-loop by design**  
-- **No autonomous enforcement**  
-- **No opaque scoring**  
-- **No untraceable inference**
-
-Every output is:
-- Explainable  
-- Auditable  
-- Policy-referenced  
-- Human-reviewable  
-
----
+## Flagship capability
 
-## Engagement Modes
+**FinC2E (Financial Cognitive Compliance Engine)** supports:
 
-Access to FinC2E is provided exclusively through controlled institutional pathways:
+- AML / KYC / CDD reasoning support
+- Risk structuring and case triage
+- Policy-referenced analysis
+- Audit-ready narratives
+- Deterministic, reviewable outputs
 
-- **Pilot / Proof of Concept**  
-- **Controlled Evaluation**  
-- **Enterprise Onboarding**  
-- **Private / Sovereign Deployment**
+## Governance principles
 
-Access is granted under onboarding rules aligned with regulated environments.  
-Pricing and deployment models are **contract-, usage-, and risk-tier-based**.
+- Human accountability preserved
+- Human-in-the-loop by design
+- Traceable logic paths and reviewable inputs
+- Policy-referenced reasoning
+- Advisory-only operational boundary
 
----
+## Engagement modes
 
-## Governance & Operational Boundaries
+- Institutional Evaluation
+- Controlled Pilot
+- Enterprise Onboarding
+- Private / Sovereign Deployment
 
-This Space and associated systems:
+Access is granted only under qualified institutional engagement.  
+Deployment, governance scope, and commercial terms are determined by use case, regulatory context, and accountability requirements.
 
-- Are advisory, non-autonomous systems  
-- Do not constitute legal or compliance authorities  
-- Require qualified human validation  
-- Are designed for controlled evaluation and enterprise onboarding  
+## Links
 
-Governance, billing, and orchestration layers operate **outside this Space**.
+- Model: https://huggingface.co/MightHubHumAI/FinC2E
+- Website: https://www.bpm.ba/FinC2E
 
----
+## Institutional note
 
-## Organization
+This Space is intended for institutional, governmental, enterprise, audit, compliance, and governance-facing contexts.  
+It is not intended as an open consumer-facing AI product.
 
 **BPM RED Academy — HumAI MightHub**  
-Human performance, AI governance, and cognitive systems engineering.
-
-🌐 https://www.bpm.ba  
-
----
-
-**HumAI MightHub**  
-*Engineering legitimacy into AI systems.*
+Engineering legitimacy into AI systems.