Running IQ Routing as a service, AI Infrastructure

IQ Routing Agency Implementation, Cost-Optimized LLM Delivery

Learn how to deploy IQ Routing as a managed service for clients, reduce their LLM spend by 40-80% through intelligent model routing and semantic caching, and build recurring revenue by monitoring per-team budgets and cost optimization. This course covers gateway setup, per-step routing configuration for agent workflows, client onboarding, and cost reporting that justifies retainer fees.

Open the decision record for IQ Routing

What it commits you to

Published figures for this service. Blank fields are not published.

Monthly tool cost
Not published (free tier exists)
Time to first value
Not published
Payback
Not modeled
Guided implementation
16 hours

Assessment

IQ Routing offers clear cost-saving potential, but without published pricing for paid tiers, the investment required is unknown.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • IQ Routing account (free tier)
  • OpenAI API key for client
  • Anthropic API key (optional)
  • Google API key (optional)
  • Access to client's SDK codebase

People and inputs

  • IQ Routing setup documentation
  • Dashboard for usage monitoring
  • Cost report templates

Estimated investment: Free tier available; entry tier likely under $50/month (vendor cost)

Included with the course

6 working documents for delivering this service.

  • IQ Routing Client Onboarding Checklistchecklist
  • Per-Step Routing Configuration for Agent Workflowssop
  • LLM Cost Reduction Proposal Templatetemplate
  • Monthly Cost Report and Savings Dashboardworksheet
  • Multi-Provider API Key Migration Guideguide
  • Team Budget and Spend Alert Setup Worksheetworksheet

Listed by name. These documents are not yet published as individual downloads.