Design governance, evaluation, and orchestration systems that route tasks across heterogeneous AI models while balancing cost, latency, and reliability.
Routing is inseparable from governance. Each model carries licensing terms, audit obligations, and regional constraints.
Maintain a matrix mapping models to regulatory domains (GDPR, HIPAA, financial regulations, child safety laws). Annotate required controls—data residency, logging, encryption, retention limits.
When user data originates from specific jurisdictions, route requests to models hosted in compliant regions. This may involve maintaining regional clusters with mirrored capabilities.
Track service level agreements (SLAs), rate limits, and allowed use cases. Controllers should enforce limits proactively to avoid penalties. If a provider changes terms, update policies and notify affected products promptly.
Log routing decisions with metadata: request intent, selected model, fallbacks triggered, evaluation scores, and policy IDs. Provide tools for compliance teams to query logs and reconstruct decision paths.