Intelligent Routing for Specialized AI Model Portfolios

With evaluation insights, design the brains of your orchestration layer.

Core Controller Components#

• Intent Classifier: interprets user requests, extracts attributes (domain, modality, sensitivity), and maps them to routing policies.
• Constraint Resolver: considers latency, budget, user tier, jurisdiction, and compliance flags.
• Model Selector: chooses a primary model and fallback chain based on policies and real-time signals.
• Execution Monitor: tracks request lifecycle, detecting failures and triggering recovery behaviors.

Controllers can be rule-based, data-driven, or hybrid. Rule-based systems encode deterministic policies for regulated domains. Data-driven approaches learn mappings from historical outcomes. Hybrid systems use rules to enforce guardrails while letting learned components optimize for subtle patterns.

Policy Hierarchy#

Global Policies#

Mandated by organization-wide standards (e.g., regulated data must use compliant models).

Product Policies#

Tuned to product goals (e.g., conversational coach prioritizes empathy and tone).

User-Level Preferences#

Enterprise customers choose model tiers, language preferences, or logging strictness.

Real-Time Overrides#

Dynamic conditions like high latency, outage events, or surge pricing.

Implement a policy engine with clear precedence rules. Document every policy change and its rationale to maintain auditability.