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| title: HumAI β MightHub | |
| emoji: π§ | |
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| # HumAI MightHub | |
| ### Human-Centered AI Systems for Governance, Compliance & Decision Legitimacy | |
| **HumAI MightHub** is the orchestration layer of BPM RED Academy β a human-centered AI ecosystem designed to operate in **regulated, high-stakes environments** where explainability, accountability, and decision legitimacy are mandatory. | |
| We build AI systems that do not replace responsibility β they **structure it**. | |
| --- | |
| ## What We Build | |
| HumAI focuses on **end-to-end cognitive systems** combining: | |
| - AI governance & policy enforcement | |
| - Financial compliance & risk orchestration | |
| - Human-in-the-loop decision validation | |
| - Auditability and regulatory traceability | |
| Our systems are designed to sit **above models**, not inside them. | |
| --- | |
| ## Flagship Capability β FinC2E | |
| ### FinC2E (Financial Cognitive Compliance Engine) | |
| **FinC2E** is an advisory, non-autonomous AI system for: | |
| - AML / KYC / CDD triage | |
| - Financial risk classification | |
| - Compliance decision support | |
| - Audit-ready reasoning output | |
| Key principles: | |
| - **Human-in-the-loop by design** | |
| - **Deterministic, structured outputs** | |
| - **No autonomous enforcement** | |
| - **Policy-referenced reasoning** | |
| - **Multi-language operation (EN / BS / EU-ready)** | |
| FinC2E is designed for: | |
| - Financial institutions | |
| - Regulated enterprises | |
| - Compliance teams | |
| - Risk & audit functions | |
| --- | |
| ## Governance First β Always | |
| HumAI systems operate under strict governance constraints: | |
| - No autonomous decisions | |
| - No opaque scoring | |
| - No untraceable inference | |
| Every output is: | |
| - Explainable | |
| - Auditable | |
| - Policy-referenced | |
| - Human-reviewable | |
| This makes HumAI suitable for environments where **AI legitimacy matters more than raw capability**. | |
| --- | |
| ## What Is Launching | |
| We are currently preparing staged releases of: | |
| - FinC2E inference services | |
| - Enterprise API access | |
| - Usage-based & license-based pricing models | |
| - Governance-ready deployment options | |
| Public availability will follow structured evaluation cycles. | |
| --- | |
| ## Research & Evaluation Status | |
| β οΈ **Research / Evaluation Preview** | |
| This repository and associated systems: | |
| - Are not autonomous systems | |
| - Are not legal or compliance authorities | |
| - Require human validation | |
| - Are designed for controlled evaluation and enterprise onboarding | |
| Governance, billing, and orchestration layers operate outside this repository. | |
| --- | |
| ## Organization | |
| **BPM RED Academy** | |
| Human performance, AI governance, and cognitive systems engineering. | |
| π https://www.bpm.ba | |
| --- | |
| ## Contact & Collaboration | |
| We engage selectively with: | |
| - Enterprises | |
| - Institutions | |
| - Strategic partners | |
| - Research & governance bodies | |
| For collaboration inquiries, reach out via official channels. | |
| --- | |
| **HumAI MightHub** | |
| _Engineering legitimacy into AI systems._ |