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Autograff Debuts AI-Native ShopOS for Auto Repair Management

San Francisco-based Autograff has launched ShopOS, an operating system designed to consolidate the fragmented workflow of auto repair shops. By integrating AI directly into the core, the platform automates administrative tasks—from answering phones to tracking revenue leaks—allowing technicians to focus on vehicle maintenance rather than office management.

Autograff Debuts AI-Native ShopOS for Auto Repair Management
Photo: Bio & News

The platform addresses a persistent industry pain point: the administrative burden that forces shop owners to toggle between disjointed software for scheduling, inspections, and invoicing. ShopOS unifies these functions into a single record, ensuring that data flows seamlessly from the initial customer call to the final payment. By centralizing operations, the system eliminates the need for manual data entry, which often results in errors or overlooked estimates.

Central to the system is an AI Receptionist that manages incoming calls on existing shop lines, handles appointment booking, and answers status queries even during weekends or busy hours. Beyond customer-facing tools, the software includes an AI Copilot that retrieves real-time data through natural language queries, and AI Insights, which proactively alerts owners to potential bottlenecks or stalled jobs before they impact the bottom line.

To lower the barrier to entry, Autograff has moved away from the common industry practice of per-seat licensing. Instead, ShopOS utilizes a flat pricing model per shop, allowing owners to scale their teams without incurring additional software costs. The company also offers free migration of existing customer and vehicle history, aiming to make the transition from legacy systems as frictionless as possible for repair centers across the United States.

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