Estimated build cycle
First MVP in 4-8 weeks1 week for discovery, 1-2 weeks for architecture and API specs, 2-4 weeks for routing logic, and 1-2 weeks for monitoring and load testing.
Solution · 01 / 08 · Infra · LLM Router
AI Smart Router
Multi-model routing for cost control, failover, and response orchestration
A routing layer for multi-model AI products and internal tools. Centralize model choice, fallback, cost monitoring, and usage controls without locking business logic to one provider.
Overview
Key points before implementation
Each solution can be implemented independently or combined with other Sainso modules into a complete enterprise AI platform.
Best fit
Internal AI platforms
Shared AI platforms across departments that need centralized permissions, billing, and model governance.
Features
Core capabilities
Every module maps to a clear business action, so the implementation does not become a one-time demo.
01
Intelligent routing
Select the best model by task complexity, latency target, reliability, and cost.
02
Automatic failover
Fallback when upstream APIs return 5xx errors, rate limits, or high latency.
03
Cost dashboard
Track usage and cost by project, user, and model, with alerts or downgrade rules.
04
Prompt cache integration
Combine provider cache strategies with duplicate prompt detection to reduce token spend.
Best Fit
Ideal use cases
These scenarios usually show value fastest and make acceptance criteria easier to define.
Internal tools
Internal AI tools
Centralize model access and reporting for multi-department AI usage.
SaaS teams
SaaS vendors
Stabilize customer-facing AI features and keep unit economics visible.
Agent builders
AI agent teams
Decouple model selection from business logic so providers can be swapped quickly.
Implementation
Implementation flow
Sainso moves in validated phases: clarify data and workflows first, then build the MVP and production rollout.
01
Discovery
Clarify goals, data sources, user roles, constraints, and success metrics.
02
Architecture
Define APIs, data models, permissions, cloud architecture, and operations model.
03
MVP build
Deliver the most critical workflow first so users can test and provide feedback.
04
Launch and operate
Deploy, monitor, optimize costs, and keep tuning models and workflows.
Tech Stack
Technology tags
The actual architecture is adjusted by security, data volume, integration complexity, and your existing environment.
Node.js
Redis
OpenRouter / OpenAI / Anthropic / Google
Prometheus
Grafana
Related
Related solutions
If your need crosses departments, these modules can be combined into one platform.
Get started
Interested in AI Smart Router?
Tell us your industry, current system status, and budget range. We will reply within 2 business days and arrange a free 30-minute consultation with initial feasibility advice.