Where AI moves the needle for Auto Detailing Shops
The highest-leverage automation surface for Auto Detailing Shops shows up right at the edge of first-line customer conversations. Most of the pain — bay utilization and add-on services — is amplified by repetitive cognitive work that frontier models handle quietly in the background. Connectify maps that workflow first, picks the right model second, and only then writes code.
What "build, integrate, train" looks like for your team
We build a single AI product that solves a real auto detailing shops problem in 30 days. We integrate it through the systems your operators already use — ERP, CRM, voice, helpdesk — using our existing adapter library. Then we train the team: a short executive briefing, an operator workshop, and an embedded coach for 90 days so adoption sticks.
Frontier models, with our runtime in front
We do not commit to a single model vendor. Our router sends each task to the model that handles it best — Anthropic Claude for long-context reasoning and tool use, OpenAI GPT for multi-modal and code, Google Gemini for Workspace-native flows, Llama or Mistral for on-prem and EU residency, and Connectify Voice for AI phone. Auto Detailing Shops workloads almost always span at least three of these.
Commercial terms — $0 until your team approves the live cutover
Fixed-fee implementation. Nothing leaves your account until the AI feature is live in production, reconciled, and signed off by the auto detailing shops operator who will run it. After go-live, a flat monthly retainer covers managed runtime, model spend at cost, and the embedded coach. One-page exit clause if you ever leave.