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Immenzo’s ethics framework is designed to reduce algorithmic risk and protect data integrity. Our processing environment is built on the principle that AI must remain auditable, accountable, and under human oversight.
AI supports the workflow rather than making the final decision.
The system is designed to strengthen human capacity and still requires manual validation for higher-risk processes.
Reduces heuristic and emotional bias in data processing.
Ongoing validation helps keep extraction accuracy consistent across document types, industries, and processing scale.
Reduces the risk of black-box processing.
Detailed audit logs, activity history, and Role-Based Access Control (RBAC) provide full visibility into data flows and system actions.
Layered infrastructure protection.
Processing is tightly restricted inside certified environments.
ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 2 Type II, and PCI-DSS L1.
| Question | Policy |
|---|---|
| Model training | No. User data is not used for model iteration. |
| Data visibility | Restricted. Access is governed by client-owned RBAC; Immenzo personnel do not have access to active document streams. |
| Privacy standards | Compliant. Aligned with GDPR, UU PDP, and relevant privacy frameworks. |
| Autonomous decisions | Disabled. AI classifies and extracts; final decisions remain with humans. |
| Sensitive data | Supported. Infrastructure is designed for sensitive-data processing with appropriate security controls. |
Transparency is not just a page on our website. It is how we work. Immenzo is committed to building AI tools that earn trust through consistent, verifiable practices: certified infrastructure, zero data retention, no hidden model training, and user control over every file.
