Use cases
MargIQ fits teams that already use AI in production and need a smarter way to decide which available model should handle each request inside a recurring business workflow.
Workflow examples
Password resets, category labels, priority tags, short summaries.
Security incidents, account risk, privacy-sensitive escalations.
Which request patterns are repetitive enough to earn a lower-cost routing path.
Lower cost on high-volume support work without weakening escalation handling.Lookup calls, formatting passes, simple extraction, deterministic substeps.
Planning turns, ambiguous user intent, destructive actions, final decisions.
Which agent substeps do not need the same model as the reasoning layer.
Faster agent execution and cleaner frontier-model usage.Document tagging, invoice fields, policy checks, internal summaries.
Compliance-sensitive reviews, exceptions, low-confidence extractions.
Where repetitive operations can move down-market and where review should stay strong.
More predictable operating cost across repeated AI work.Adoption path
Start in report-only mode and keep production behavior unchanged.
Inspect workflow profiles, routing paths, savings, and safety guards.
Enable Automatic only where the business accepts the route and fallback behavior.
Best first workflow