Governance – Engine AI

Engine AI applies a complete Artificial Intelligence Governance Framework fully aligned with the principles and requirements of ISO/IEC 42001:2023, the international standard for Artificial Intelligence Management Systems (AIMS).

This alignment reflects Engine AI’s commitment to developing, integrating, and deploying AI technologies in a responsible, transparent, safe, and globally compliant manner through controlled processes designed to minimize risks and enhance reliability.

1. Governance & Accountability

Engine AI has adopted a clear governance model for managing AI operations, including defined roles and responsibilities, human oversight mechanisms, decision-making authorities, and structured documentation practices. Executive leadership ensures accountability across the entire AI lifecycle — from concept to retirement.

2. Ethical & Responsible AI Principles

Engine AI adheres to documented principles covering fairness, transparency, explainability, safety, reliability, human validation, and privacy protection. These principles guide every stage of AI development and deployment.

3. Risk Management & Controls

Engine AI follows a specialized AI risk management process that includes bias assessments, cybersecurity checks, mitigation planning, and incident response pathways, all aligned with ISO/IEC 42001 requirements.

4. Data Governance & Quality Assurance

Our data governance framework ensures data quality, provenance, privacy safeguards, secure handling, and regulatory compliance across all datasets used in AI systems.

5. AI Lifecycle Management

Engine AI follows structured procedures covering requirements analysis, data preparation, model development, testing, deployment, monitoring, drift detection, and system decommissioning.

6. Continuous Improvement

Regular evaluations of AI performance, risks, and integrity ensure that Engine AI continuously updates its governance practices in line with evolving global standards.