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--- |
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title: FinC2E – Governance-First AI |
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emoji: 🛡️ |
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license: other |
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language: |
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- en |
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tags: |
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- governance |
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- compliance |
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- aml |
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- kyc |
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- risk |
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- audit |
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- human-in-the-loop |
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- decision-support |
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- enterprise |
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- regtech |
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pipeline_tag: text-generation |
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library_name: transformers |
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--- |
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# FinC2E — Financial Cognitive Compliance Engine |
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### Governance-First AI for AML/KYC & Audit-Ready Decision Support (Human-in-the-Loop) |
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**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. |
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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. |
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## Core positioning (non-negotiable) |
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- **Advisory-only AI** — Human-in-the-Loop by design |
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- **No autonomous enforcement** |
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- **No replacement of compliance officers** |
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- **No black-box decisions** |
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- **Responsibility always remains with the human decision-maker** |
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FinC2E is intentionally **not** an autonomous compliance system. |
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--- |
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## What FinC2E does |
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FinC2E supports regulated teams by generating **structured, reviewable reasoning**, not decisions. |
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Primary capabilities include: |
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- **Case triage & prioritization support** |
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Risk-oriented reasoning signals for human review |
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- **Policy-referenced reasoning** |
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Outputs explicitly reference assumptions, rule context, and logic paths |
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- **Audit-ready narratives** |
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Structured explanations suitable for auditors, regulators, and committees |
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- **Scenario & stress-logic support** |
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FSAP-style views and counterfactual reasoning |
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- **Committee-ready summaries** |
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Clear, human-readable briefs for decision boards |
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--- |
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## What FinC2E is NOT |
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- Not an automated blocking or freezing system |
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- Not a penalty or enforcement engine |
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- Not a legal authority or regulator |
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- Not a “push-button compliance” product |
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FinC2E does **not** take actions. |
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It supports **human judgment under governance constraints**. |
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--- |
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## Intended users |
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FinC2E is designed for: |
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- Banks and financial institutions (AML / KYC / CDD teams) |
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- RegTech providers |
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- Audit and compliance consultancies |
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- Institutional risk and compliance committees |
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- Government, FIU, and sovereign deployments (controlled and policy-bound) |
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It is **not intended** for consumer or retail use. |
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--- |
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## Governance & design principles |
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FinC2E is built around the following principles: |
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1. **Human accountability first** |
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2. **Traceable reasoning over opaque accuracy** |
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3. **Policy alignment before model optimization** |
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4. **Auditability as a core requirement, not an add-on** |
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5. **Controlled deployment over unrestricted access** |
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These principles define both system behavior and engagement models. |
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--- |
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## Commercial & Institutional Use (Licensing) |
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FinC2E is available for **commercial, institutional, and governmental use** under a separate license. |
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Commercial licensing is required for any: |
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- production use, |
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- institutional deployment, |
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- internal corporate use beyond evaluation, |
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- integration into paid products or services. |
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--- |
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### Institutional pricing |
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#### Early Governance Adoption Window (50%) |
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As part of an **early institutional governance onboarding window**, FinC2E is currently offered under special terms: |
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> **New Year Governance Adoption Offer — valid until January 2nd, 2026** |
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These terms are intended for organizations preparing for **stricter AI governance, audit, and accountability requirements in 2026**. |
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**Current onboarding terms (50%):** |
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- **Evaluation PoC (controlled scope): €75,000** |
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*(standard institutional price: €150,000)* |
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- **Institutional Pilot (policy-bound, audited, monitored): €300,000** |
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*(standard institutional price: €600,000)* |
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- **Annual Enterprise License: from €750,000** |
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*(standard institutional price: from €1,500,000)* |
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Final pricing depends on: |
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- jurisdiction and regulatory context, |
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- deployment model (on-prem / sovereign cloud / controlled environment), |
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- governance depth and audit requirements. |
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--- |
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### Contact for licensing and institutional engagement |
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- **Website:** https://www.bpm.ba/FinC2E |
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- **Email:** governance@bpm.ba |
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- **Suggested subject:** *“FinC2E — Governance Licensing / Institutional Pilot”* |
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--- |
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## Deployment models (commercial) |
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FinC2E may be deployed under controlled conditions via: |
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- **Evaluation PoC** — limited scope, non-production |
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- **Institutional pilot** — policy-defined, monitored, auditable |
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- **On-prem / sovereign cloud deployments** — where required by regulation |
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> Note: Any “Deploy” or hosting options shown by platform interfaces (e.g. Hugging Face Spaces or inference tooling) refer to **technical serving mechanisms only**. |
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> Commercial deployment of FinC2E is governed exclusively through licensing and contractual engagement. |
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--- |
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## Evaluation context & ecosystem alignment |
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FinC2E has been developed, iterated, and evaluated **within the NVIDIA ecosystem**, using enterprise-grade tooling aligned with regulated AI deployment standards. |
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Across a **three-month evaluation period**, the system demonstrated **consistent exponential growth in evaluator engagement and institutional interest**, driven by: |
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- governance-first positioning, |
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- human-in-the-loop design, |
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- audit-ready reasoning outputs. |
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Evaluation focused on: |
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- decision traceability and narrative integrity, |
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- stability of policy-referenced reasoning, |
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- suitability for high-stakes, regulated environments. |
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This evaluation phase informed the system’s current **commercial and institutional readiness**. |
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--- |
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## Evaluation notes (for serious evaluators) |
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Recommended evaluation criteria: |
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- Auditability of reasoning paths |
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- Preservation of human accountability |
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- Policy alignment and explainability |
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- Integration with committee and case-management workflows |
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- Reproducibility under controlled inference conditions |
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Feedback is welcomed from teams working in: |
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- regulated AI deployments, |
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- governance, audit, and explainability, |
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- enterprise inference and evaluation tooling. |
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--- |
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## Canonical reference |
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**FinC2E — Financial Cognitive Compliance Engine** |
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Governance-first AI for AML/KYC, risk classification, and audit-ready reasoning. |
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Advisory-only. Human-in-the-Loop. |
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--- |
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## Legal & compliance disclaimer |
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FinC2E provides **decision support only** and does not constitute legal advice. |
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All final decisions remain with qualified human reviewers and accountable officers. |
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--- |
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© BPM RED Academy — HumAI MightHub |
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Engineering legitimacy into AI systems. |
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— Edin |
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