Why people switch
Why people switch from Make
- Overbuilt flows: Make works great for multi-step orchestration, but many teams end up with fragile scenarios just to classify and route support — lots of modules, fragile filters and timeouts.
- Maintenance burden: Connectors break, logic drifts, and small triage changes force edits across multiple scenarios instead of a single source of truth.
- Slow iteration for AI logic: Adding AI classification in Make means wiring external models and parsing outputs across steps; it’s slower to test and tune.
- Visibility and consistency: Manual mappings produce inconsistent tickets (missing fields like severity, sentiment, or confidence) that make analytics and routing harder.