Simor Consulting
Category: AI Governance
Responsible AI is not a checklist you complete before deployment. It is a set of architectural decisions that you make throughout the design process, each of which involves trade-offs that are real an
The first enforcement window of the EU AI Act opened in February 2026, and the grace periods that protected early movers are expiring on a rolling schedule through 2027. This is no longer a policy dis
A healthcare system deployed an AI triage assistant. It worked well in testing. In production, it started routing patients with chest pain to low-priority queues. The error was subtle and infrequent.
# Metadata Management for AI Governance AI systems in production require metadata management to support compliance, auditing, and model oversight. Without systematic tracking of model lineage, traini