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Intelligent Routing for Specialized AI Model Portfolios

Design governance, evaluation, and orchestration systems that route tasks across heterogeneous AI models while balancing cost, latency, and reliability.

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12. Implementation Roadmap

Phase 1: Discovery (Weeks 0-3)#

Inventory models, gather requirements, and map existing ad-hoc routing decisions.

Phase 2: Evaluation Foundation (Weeks 3-8)#

Build golden sets, stand up benchmarking pipelines, and quantify baseline performance.

Phase 3: Controller MVP (Weeks 8-12)#

Implement intent classifier, policy engine, and primary routing paths for one product.

Phase 4: Governance Layer (Weeks 12-16)#

Integrate logging, audit trails, cost tracking, and compliance matrices.

Phase 5: Portfolio Expansion (Weeks 16-24)#

Onboard additional models, add fallbacks, and extend to more products.

Phase 6: Optimization (Weeks 24+)#

Iterate on latency and cost, experiment with hybrid reasoning, and solidify lifecycle processes.

Throughout the roadmap, align with executive sponsors on business outcomes: improved user satisfaction, reduced cost, and risk mitigation.

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