CrewGR Solutions
← SEMCRID// SEMCRID COMPONENT

SEMCRID ROUTER —
POLICY EXECUTION

Every AI request is validated against policy before execution. Routing decisions are deterministic, auditable, and governed.

//ROUTER DECISION LOG
request_id: req_491
policy_check: passed
memory_eligible: 3 banks
model_assigned: OpenAI GPT-4
fallback: disabled
execution: authorised
// THE PROBLEM

AI execution has no enforcement layer.

Without a controlled routing layer, AI requests flow directly to models without policy validation. There is no enforcement of what can be asked, what memory is used, which model handles which request, or what fallbacks are permitted.

// SEMCRID ROUTER CAPABILITIES

Policy validation before execution

Every request is checked against defined policies before reaching a model.

Memory-aware routing

The router selects which memory banks are eligible for the request.

Model routing control

Requests are assigned to the appropriate model based on policy and capability rules.

Fallback governance

Fallback paths are policy-defined, not automatic. Uncontrolled escalation is blocked.