We cover NCA and TDRA frameworks for GCC/UAE deployments, UAE National AI Strategy 2031, PIPEDA and provincial privacy law for Canadian deployments, and DPDP for India-adjacent operations. We also map to ISO 42001 (AI Management Systems) and NIST AI RMF where required.

An audit evidence pipeline is an automated system that captures, structures, and stores the data regulators need to verify your AI systems are operating within policy — agent decision logs, approval records, data access events, and model version history. We design it so evidence collection is continuous, not a manual exercise before each audit.

Multi-agent systems require governance at both the individual agent level and the orchestration level. We design policy enforcement at both layers — each agent has defined permissions and action boundaries, and the orchestrator has its own governance controls over how agents interact and escalate.

Yes, though it is more expensive than building it in from the start. We assess existing agents, identify governance gaps, and implement the required controls — audit logging, policy enforcement, approval workflows — without requiring a full rebuild.