Product

Route each request with the context of its workflow.

MargIQ learns recurring request patterns inside production workflows, weighs cost, latency, quality, and risk, then chooses from your available models. Routine paths can cost less while consequential paths keep the strength they need.

Decision previewOne support workflow
Match request patternCheck evidenceApply routing path
Requested GPT-4oUse an approved efficient model where safe

Security escalations stay protected as a safety guard.

Decision anatomy

MargIQ separates routine requests from work that deserves strength.

1. Requested model

Keep the product's quality anchor.

Your application still asks for the model it trusts today. MargIQ treats that as the fallback whenever confidence is not earned.

2. Workflow profile

Understand the business job.

Repeated support triage, agent substeps, extraction, and review patterns become business workflow profiles that teams can inspect.

3. Available models

Choose only from your model set.

MargIQ selects from the models your application has made available. Unusual or sensitive work remains protected by the requested model.

Control surface

Control routing at the workflow level, without treating every request alike.

Automatic

Route earned paths

MargIQ applies routing paths when workflow evidence is strong.

Report only

Report only

MargIQ measures savings and latency opportunity without changing execution.

Disabled

Disabled

MargIQ leaves that workflow untouched when teams need a hard exclusion.

Outcomes

Cost, latency, and quality stay in the same decision.

  • Cost: stop paying frontier-model prices for routine requests.
  • Latency: use faster models where a request does not need frontier reasoning.
  • Quality: keep uncertain traffic on stronger models by default.
  • Governance: give engineering, finance, and operators the same workflow view.