Spaces:
Running
language:
- en
- bs
license: apache-2.0
tags:
- governance
- compliance
- aml
- risk-management
- human-in-the-loop
- explainable-ai
- regulated-ai
FinC2E — Financial Cognitive Compliance Engine
Model Summary
FinC2E is a governance-first financial reasoning model designed to support compliance, risk classification, and audit-ready decision structuring in regulated environments.
The model is advisory only and operates strictly under human-in-the-loop constraints.
Intended Use
FinC2E is intended for:
- AML / KYC / CDD triage support
- Financial risk classification
- Compliance decision assistance
- Audit-ready reasoning generation
- Policy-referenced analysis
The model is designed to structure and explain decisions, not to automate enforcement.
Out-of-Scope Use
FinC2E must not be used for:
- Autonomous decision-making
- Credit approval or rejection
- Enforcement actions
- Final legal or regulatory determinations
- Unsupervised production deployment
Governance & Safety
Key governance properties:
- No autonomous decisions
- Deterministic, structured outputs
- Policy-referenced reasoning
- Human approval required for all actions
- Full traceability of inference logic
Ethical Considerations
FinC2E is built to preserve accountability, not to replace it.
The system prioritizes:
- Transparency
- Explainability
- Auditability
- Human responsibility
Language Support
- English (primary)
- Bosnian / Serbian / Croatian (supported)
- EU-regulatory language readiness
Deployment Notes
FinC2E is designed to operate as:
- Advisory layer above foundation models
- Enterprise SaaS component
- Private inference service
- Governance middleware in regulated stacks
Deployment must align with applicable regulatory frameworks.
Disclaimer
This model provides advisory output only.
Final responsibility remains with the human decision-maker.
© BPM RED Academy — HumAI MightHub
Human-Centered AI for Decision Legitimacy