Carvis.AI

Carvis is aimed squarely at the service advisor's desk. Rather than asking a shop to adopt yet another platform, it docks next to the shop management system already in use and automates the ticket work advisors tend to dislike: pricing repairs, writing line items, checking whether a job is worth recommending. The company describes it as a network of agents that completes work end to end rather than a chatbot that only answers questions, and says the agents are trained on the shop's own standard operating procedures, pricing rules and inspection standards.

The pitch rests on speed and completeness. Carvis cites an 85% reduction in estimate time, sub-30-second average estimates, and accuracy within roughly 2% of experienced advisors, with claims of an ARO (average repair order) lift in the region of 15% to 28%. Recommendations are drawn from three sources at once: the shop's own repair history, its written SOPs, and anonymized patterns across the Carvis network of more than 100 shops. The company says it has worked with Sun Auto and reports being live across five locations within a week of rollout.

For multi-location groups and fleets, Carvis advertises centralized pricing governance, group-level analytics on close rate and technician productivity, role-based SSO, audit logs and regional data residency. A REST API with webhooks lets groups embed Carvis into their SMS, advisor workflow or customer-facing tools. It does not publish a public price list; shops are directed to book a 15-minute live walkthrough.