Toma Launches Toma IQ to Turn Dealership Calls into Continuous AI Policy Upgrades

New updates have been reported about Toma.

Toma has introduced Toma IQ, a reinforcement learning layer that analyzes live customer calls in dealerships and converts successful human interactions into dealer-approved policies that immediately update how its AI Coworkers perform. Embedded into Toma’s existing AI automation platform, the new capability is designed to close dealership-specific gaps such as after-hours routing, loaner rules, post-call workflows, and unique store policies without relying on slow, manual retraining cycles.

Toma IQ continuously reviews every call, surfaces recommended behavior changes based on how staff resolved real scenarios, and routes those recommendations to managers for approval or rejection through a straightforward interface, preserving dealer control and governance. By learning at the individual dealership level rather than waiting on generic large language model updates, Toma expects its AI Coworkers to handle more interactions autonomously, improve first-call resolution, cut transfers, and reduce dependence on vendor support tickets, positioning the company as an early automotive AI provider built around dealership-level reinforcement learning and operational transparency.