A complete governance framework covering inception, development, validation, and deployment — aligned with ISO 42001, GDPR, DPDPA, and the EU AI Act.
Define the system, assess risks, conduct impact assessments, and establish governance foundations.
Build the AI system with robust data pipelines, model architecture, and experiment tracking.
Prove the system works correctly through independent testing, fairness evaluation, and security audits.
Safely deploy to production with infrastructure setup, monitoring, and rollback plans.
Run the system in production with continuous monitoring, drift detection, and incident response.
Maintain governance documentation, internal audits, and management reviews.
Retire the AI system responsibly with data retention, model archival, and regulatory notification.
Start with Stage 1: Inception to define your system, assess risks, and establish governance foundations.